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Early Detection of Prostate Cancer: American Urological Association (AUA) Guideline
Author-Writer: Dror Nir, PhD
Article 9.1.Early Detection of Prostate Cancer: American Urological Association (AUA) Guideline
When reviewing theDETECTION OF PROSTATE CANCERsection on the AUA website , The first thing that catches one’s attention is the image below; clearly showing two “guys” exploring with interest what could be a CT or MRI image…..
But, if you bother to read the review underneath this image regarding EARLY DETECTION OF PROSTATE CANCER: AUA GUIDELINEproduced by an independent group that was commissioned by the AUA to conduct a systematic review and meta-analysis of the published literature on prostate cancer detection and screening; Panel Members:H. Ballentine Carter, Peter C. Albertsen, Michael J. Barry, Ruth Etzioni, Stephen J. Freedland, Kirsten Lynn Greene, Lars Holmberg, Philip Kantoff, Badrinath R. Konety, Mohammad Hassan Murad, David F. Penson and Anthony L. Zietman – You are bound to be left with a strong feeling that something is wrong!
The above mentioned literature review was done using rigorous approach.
“The AUA commissioned an independent group to conduct a systematic review and meta-analysis of the published literature on prostate cancer detection and screening. The protocol of the systematic review was developed a priori by the expert panel. The search strategy was developed and executed
by reference librarians and methodologists and spanned across multiple databases including Ovid Medline In-Process & Other Non-Indexed Citations, Ovid MEDLINE, Ovid EMBASE, Ovid Cochrane Database of Systematic Reviews, Ovid Cochrane Central Register of Controlled Trials and Scopus. Controlled vocabulary supplemented with keywords was used to search for the relevant concepts of prostate cancer, screening and detection. The search focused on DRE, serum biomarkers (PSA, PSA Isoforms, PSA kinetics, free PSA, complexed PSA, proPSA, prostate health index, PSA velocity, PSA
doubling time), urine biomarkers (PCA3, TMPRSS2:ERG fusion), imaging (TRUS, MRI, MRS, MR-TRUS fusion), genetics (SNPs), shared-decision making and prostatebiopsy. The expert panel manually identified additional references that met the same search criteria”
While reading through the document, I was looking for the findings related to the roll of imaging in prostate cancer screening; see highlighted above. The only thing I found: “With the exception of prostate-specific antigen (PSA)-based prostate cancer screening, there was minimal evidence to assess the outcomes of interest for other tests.”
This must mean that: Notwithstanding hundreds of men-years and tens of millions of dollars which were invested in studies aiming to assess the contribution of imaging to prostate cancer management, no convincing evidence to include imaging in the screening progress was found by a group of top-experts in a thorough and rigorously managed literature survey! And it actually lead the AUA to declare that “Nothing new in the last 20 years”…..
My interpretation of this: It says-it-all on the quality of the clinical studies that were conducted during these years, aiming to develop an improved prostate cancer workflow based on imaging. I hope that whoever reads this post will agree that this is a point worth considering!
For those who do not want to bother reading the whole AUA guidelines document here is a peer reviewed summary:
“Early Detection of Prostate Cancer: AUA Guideline; Carter HB, Albertsen PC, Barry MJ, Etzioni R, Freedland SJ, Greene KL, Holmberg L, Kantoff P, Konety BR, Murad MH, Penson DF, Zietman AL; Journal of Urology (May 2013)”
It says:
“A systematic review was conducted and summarized evidence derived from over 300 studies that addressed the predefined outcomes of interest (prostate cancer incidence/mortality, quality of life, diagnostic accuracy and harms of testing). In addition to the quality of evidence, the panel considered values and preferences expressed in a clinical setting (patient-physician dyad) rather than having a public health perspective. Guideline statements were organized by age group in years (age<40; 40 to 54; 55 to 69; ≥70).
RESULTS: With the exception of prostate-specific antigen (PSA)-based prostate cancer screening, there was minimal evidence to assess the outcomes of interest for other tests. The quality of evidence for the benefits of screening was moderate, and evidence for harm was high for men age 55 to 69 years. For men outside this age range, evidence was lacking for benefit, but the harms of screening, including over diagnosis and over treatment, remained. Modeled data suggested that a screening interval of two years or more may be preferred to reduce the harms of screening.
CONCLUSIONS: The Panel recommended shared decision-making for men age 55 to 69 years considering PSA-based screening, a target age group for whom benefits may outweigh harms. Outside this age range, PSA-based screening as a routine could not be recommended based on the available evidence. The entire guideline is available at www.AUAnet.org/education/guidelines/prostate-cancer-detection.cfm.”
Other research papers related to the management of Prostate cancer were published on this Scientific Web site:
2Brigham and Women’s Hospital & VA Boston Healthcare System, Boston, MA
3Boston Children’s Hospital, Boston, MA
4Brigham and Women’s Hospital, Boston, MA
↵* Cardiovascular Division, Brigham and Women’s Hospital, 75 Francis Street, Boston, MA 02115 cho@partners.org
Abstract
Background—Left ventricular hypertrophy (LVH) typically manifests during or after adolescence in sarcomere mutation carriers at risk for developing hypertrophic cardiomyopathy (HCM). Guidelines recommend serial imaging of mutation carriers without LVH (G+/LVH-) to monitor for phenotypic evolution, but the optimal strategy is undefined. Compared with echocardiography (echo), cardiac magnetic resonance imaging (CMR) offers improved endocardial visualization and potential to assess scar. However the incremental advantage offered by CMR for early diagnosis of HCM is unclear. Therefore, we systematically compared echo and CMR in G+/LVH- subjects.
Methods and Results—Forty sarcomere mutation carriers with normal echo wall thickness (< 12 mm or z-score < 2.5 in children) underwent concurrent CMR. Mean age was 21.7 ± 11.1 years, 55% were female). If LV wall thickness appeared non-uniform, the size and location of relatively thickened segments were noted. Late gadolinium enhancement (LGE) was assessed with CMR. Diagnostic agreement between echo and CMR was good (90%), although CMR measurements of LV wall thickness were ~19% lower than echo. Four subjects had mild hypertrophy (12.6-14 mm, ≤2 segments) appreciated by CMR but not echo. No subjects had LGE. During median 35-month follow up, 2 subjects developed overt HCM, including 1 with mild LVH by CMR at baseline.
Conclusions—Echo is unlikely to miss substantial LVH; however CMR identified mild hypertrophy in ~10% of mutation carriers with normal echo wall thickness. CMR may be a useful adjunct in HCM family screening, particularly in higher risk situations, or if echocardiographic images are suboptimal or suggest borderline LVH.
Causes and imaging features of false positives and false negatives on 18F-PET/CT in oncologic imaging
Author and Curator: Dror Nir, PhD
Article 11.4.1 Causes and imaging features of false positives and false negatives on 18FPET CT in oncologic imaging
Early this year I have posted on: Whole-body imaging as cancer screening tool; answering an unmet clinical need? F-PET/CT was discussed in this post as a leading modality in that respect. Here I report on an article dedicated to the sources for misdiagnosis; i.e. false negatives and false positives when applying this technology:
18F-FDG is a glucose analogue that is taken up by a wide range of malignancies. 18F-FDG PET-CT is now firmly established as an accurate method for the staging and restaging of various cancers. However, 18F-FDG also accumulates in normal tissue and other non-malignant conditions, and some malignancies do not take up F18-FDG or have a low affinity for the tracer, leading to false-positive and false-negative interpretations.
Methods
PET-CT allows for the correlation of two separate imaging modalities, combining both morphological and metabolic information. We should use the CT to help interpret the PET findings. In this article we will highlight specific false-negative and false-positive findings that one should be aware of when interpreting oncology scans.
Results
We aim to highlight post-treatment conditions that are encountered routinely on restaging scans that can lead to false-positive interpretations. We will emphasise the importance of using the CT component to help recognise these entities to allow improved diagnostic accuracy.
Conclusion
In light of the increased use of PET-CT, it is important that nuclear medicine physicians and radiologists be aware of these conditions and correlate the PET and CT components to avoid misdiagnosis, over staging of disease and unnecessary biopsies.
Introduction
[18F] 2-fluoro-2deoxy-D-glucose (18F-FDG) PET-CT imaging has become firmly established as an excellent clinical tool in the diagnosis, staging and restaging of cancer. 18F-FDG (a glucose analog) is taken up by cells via glucose transporter proteins. The glucose analog then undergoes phosphorylation by hexokinase to FDG-6 phosphate. Unlike glucose, FDG-phosphate does not undergo further metabolism and so becomes trapped in the cell as the cell membrane is impermeable to FDG-6 phosphate following phosphorylation [1].
Malignant tumors have a higher metabolic rate and generally express higher numbers of specific membrane transporter proteins than normal cells. This results in increased uptake of 18F-FDG by tumor cells and forms the basis of FDG-PET imaging [2]. Glucose however acts as a basic energy substrate for many tissues, and so 18F-FDG activity can be seen both physiologically and in benign conditions. In addition, not all tumors take up FDG [3–5]. The challenge for the interpreting physician is to recognize these entities and avoid the many pitfalls associated with 18F-FDG PET-CT imaging.
In this article we discuss false-positive and false-negative 18F-FDG PET-CT findings, common and atypical physiological sites of FDG uptake, and benign pathological causes of FDG uptake. We will focus on post-treatment conditions that can result in false-positive findings. We will highlight the importance of utilizing the CT component of the study, not only for attenuation correction but also in the interpretation of the study. The CT component of 18F-FDG PET-CT imaging can provide high-resolution anatomical information, which enables more accurate staging and assessment. For the purposes of this article, we refer to the descriptive terms “false-positive” and “false-negative” findings in the context of oncology imaging.
The authors acknowledge that there are recognized causes of FDG uptake that are not related to malignancy; however in this paper we refer to false-positive findings as FDG uptake that is not tumor related.
Patient preparation
Tumor uptake of FDG is reduced in the presence of raised serum glucose as glucose competes with FDG for uptake by the membrane transporter proteins. In order to prevent false-negative results, it is necessary for the patient to fast for at least 4–6 h prior to the procedure [6]. Induction of a euglycamic hypoinsulinaemic state also serves to reduce the uptake of glucose by the myocardium and skeletal muscle. In the fasting state, the decreased availability of glucose results in predominant metabolism of fatty acids by the myocardium. This reduces the intensity of myocardial uptake and prevents masking of metastatic disease within the mediastinum [6].
The radiotracer is administered intravenously (dose dependent on both the count rate capability of the system used and the patient’s weight), and the patient is left resting in a comfortable position during the uptake phase (60–90 min). Patient discomfort and anxiety can result in increased uptake in skeletal muscles of the neck and paravertebral regions. Muscular contraction immediately prior to or following injection can result in increased FDG activity in major muscle groups [6].
Patients are placed in a warm, quiet room with little stimulation, as speech during the uptake phase is associated with increased FDG uptake in the laryngeal muscles [7].
At our institution we perform the CT component with arms up except for head and neck studies where the arms are placed down by the side. This minimizes artifacts on CT. Depending on the type of cancer, oral contrast to label the bowel and intravenous contrast may also be given. The CT is performed with a full dose similar to a diagnostic CT, and lungs are analyzed following reconstruction with a lung algorithm. The PET scan is performed with 3–4 min per bed position; however the time per bed position will vary in different centers depending on both the dose of FDG administered and the specifications of the camera used for image acquisition. It is beyond the scope of this article to provide detailed procedure guidelines for 18F-FDG PET-CT imaging, and for this purpose we refer the reader to a comprehensive paper by Boellaard et al. [8].
Technical causes of false positives
Misregistration artifact
The evaluation of pulmonary nodules provides a unique challenge for combined PET-CT scanning due to differences in breathing patterns between CT and PET acquisition periods. CT imaging of the thorax is classically performed during a breath-hold; however PET images are acquired during tidal breathing, and this can contribute significantly to misregistration of pulmonary nodules on fused PET-CT images. Misregistration is particularly evident at the lung bases, which can lead to difficulty differentiating pulmonary nodules from focal liver lesions (Fig. 1) [9].
Fig. 1
18F-FDG PET-CT performed in a 65-year-old male with colorectal cancer. On the coronal PET images, a focus of increased FDG uptake is seen at the right lung base (black arrow). Contrast CT does not show any pulmonary nodules but does demonstrate a liver metastasis in the superior aspect of the right lobe of the liver (yellow arrow)
Acquiring CT imaging of the thorax during quiet respiration can help to minimize misregistration artifacts. It is also important to correlate your PET and CT findings by scrolling up and down to make sure that lesions match.
Injected clot
A further diagnostic pitfall in staging of intrathoracic disease can be caused by injected clot. Injection of radioactive clot following blood withdrawal into the syringe at the time of radiotracer administration can result in pulmonary hotspots [10]. The absence of a CT correlate for a pulmonary hotspot should raise the possibility of injected clot; however this is a diagnosis of exclusion, and it is important to carefully evaluate the adjacent slices to ensure the increased radiotracer activity does not relate to misregistration of a pulmonary nodule or hilar lymph node. The area of abnormal radiotracer uptake should also be closely evaluated on subsequent restaging CT to ensure there has been no interval development of an anatomical abnormality in the region of previously diagnosed injected clot (Fig. 2) [11].
Fig. 2
18F-FDG PET-CT performed in a 28-year-old male with an osteosarcoma of the femur. A focus of increased FDG uptake (yellow arrow) is identified in the left lower lobe with no CT correlate (a). A 3-month follow-up CT thorax again does not demonstrate any pulmonary nodules confirming that the uptake seen originally on the PET-CT was due to injected clot (b)
Injection artifact
Leakage of radiotracer into the subcutaneous tissues at the injection site or tissued injection can result in subcutaneous tracking of FDG along lymphatic channels in the arm. This can result in spurious uptake in axillary nodes distal to the injection site [12]. Careful attention must be paid to the technical aspects of the study to ensure accurate staging. Injection at the side contralateral to the site of disease is advised where feasible to allow differentiation between artifactual and metastatic uptake, particularly in breast cancer patients. The side of injection should also be clearly documented during administration of radiotracer, and this information should be available to the reader in order to ensure pathological FDG uptake is not spuriously attributed to injection artifact (Fig. 3).
Fig. 3
18F-FDG PET-CT performed in a 56-year-old woman with colorectal cancer. Some low grade FDG uptake is identified in non-enlarged right axillary nodes (yellow arrow) consistent with injection artifact
Imaging of metallic implants
The use of CT for attenuation correction negates the need for traditional transmission attenuation correction, reducing scanning time. There are however technical factors relating to the use of CT imaging for attenuation correction, which lead to artefacts when imaging metal [9]. The presence of metal implants in the body produces streak artifact on CT imaging and degrades image quality. When CT images are used for attenuation correction, the presence of metal results in over attenuation of PET activity in this region and can result in artifactual ‘hot spots.’ Metal prostheses, dental fillings, indwelling ports and breast expanders and sometimes contrast media are common causes of streak artifact secondary to high photon absorption and can cause attenuation correction artifacts [9]. In order to avoid false positives, particularly when imaging metallic implants careful attenuation should be paid to the nonattenuation corrected images, which do not produce this artifact.
Sites of physiological FDG uptake
Physiological uptake in a number of organs is readily recognized and rarely confused with malignancy. These include cerebral tissue, the urinary system, liver and spleen. Approximately 20% of administered activity is renally excreted in the 2 h post-injection resulting in intense radiotracer activity in the renal collecting systems, ureters and bladder [13]. In order to minimize the intensity of renal activity, patients are advised to void prior to imaging. Moderate physiological FDG uptake is noted in the liver, spleen, GI tract and salivary glands. Uptake in the cecum and right colon tends to be higher than in the remainder of the colon due to the presence of glucose-avid lymphocytes [14].
Other sites of physiological FDG activity can be confused with malignancy. Examples include activity within brown fat, adrenal activity, uterus and ovaries.
Brown fat
FDG uptake in hyper-metabolic brown adipose tissue is well recognized as a potential source of false positive in 18F-FDG PET-CT imaging. The incidence of FDG uptake in brown fat has been reported as between 2.5–4% [15, 16].
Hypermetabolic brown fat is more commonly identified in children than in adults and is more prevalent in females than in males. It occurs more frequently in patients with low body mass index and in cold weather [15].
Glucose accumulation within brown fat is increased by sympathetic stimulation as brown fat is innervated by the sympathetic nervous system. In view of this, administration of oral propranolol is advised by some authors as it has been shown to reduce the uptake of FDG by brown fat [17]. This is not performed at our institution; however, attempts are made to reduce FDG uptake in brown fat by maintaining a warm ambient temperature and providing patients with blankets during the uptake phase.
The typical distribution of brown fat in a bilateral symmetric pattern in the supraclavicular and neck regions is rarely confused with malignancy. In cases where hypermetabolic brown fat is seen to surround lymph nodes, the CT images should be separately evaluated to allow morphological assessment of the lymph nodes. The classical CT features of pathological replacement of lymph nodes should be sought, namely increased short axis diameter, loss of the fatty hilum and loss of the normal concavity of the lymph node. If the morphology of the lymph node is entirely normal, malignancy can be confidently excluded and the increased uptake attributed to brown fat [18].
Atypical brown fat in the mediastinum can be misinterpreted as nodal metastases and has been identified in the paratracheal, paraoesophageal, prevascular regions, along the pericardium and in the interatrial septum. Extramediastinal sites of brown fat uptake include the paravertebral regions, perinephric, perihepatic and subdiaphragmatic regions and in the intraatrial septum [16].
The absence of an anatomical lesion on CT imaging in areas of FDG uptake should raise the possibility of brown fat to the reader. Careful evaluation of the CT images must be performed to confirm the presence of adipose tissue in the anatomical region correlating to the increased FDG activity on 18F-FDG PET before this activity be attributed to brown fat.
An awareness of the possibility of brown fat in atypical locations is vital to avoid overstaging, and correlation with CT imaging increases reader confidence in differentiating brown fat from malignancy (Fig. 4).
Fig. 4
18F-FDG PET-CT surveillance scan performed in a 36-year-old male with a history of seminoma. Symmetrical uptake is noted in the neck, supraclavicular fossa and paravertebral regions consistent with typical appearance of brown fat activity (black arrow). Brown fat uptake is also seen in the left supradiaphragmatic region and left paraoesophageal region (yellow arrow) (a). 18F-FDG PET-CT performed in a 48-year-old male with a history of colorectal cancer. Increased FDG uptake is noted within brown fat associated with lipomatous hypertrophy of the intra-atrial septum (b)
Uterine and ovarian uptake
In premenopausal women endometrial uptake of FDG varies cyclically and is increased both at ovulation and during the menstrual phase of the cycle with mean SUV values of 3.5–5 [19]. Endometrial uptake in postmenopausal women is abnormal and warrants further investigation; however benign explanations for increased FDG uptake include recent curettage, uterine fibroids and endometrial polyps [19].
Benign ovarian uptake of FDG in premenopausal women can be associated with ovulation. In postmenopausal women, ovarian uptake of FDG should be further investigated (Fig. 5).
Fig. 5
18F-FDG PET-CT performed in a 42-year-old premenopausal female with breast cancer. She was scanned during menstruation. FDG uptake is noted within metastatic right axillary nodes (black arrow). Increased FDG uptake is also noted within the endometrial canal of the uterus (yellow arrow), which is thickened on CT, consistent with active menstruation (a). 18F-FDG PET-CT performed in the same 42-year-old woman at a different stage in her menstrual cycle showing resolution of the previously identified uterine uptake (yellow arrow) (b)
Adrenal uptake
18F-FDG PET imaging is commonly used for evaluation of adrenal masses in patients with diagnosed malignancies. Similarly incidental adrenal lesions are commonly identified on staging 18F-FDG PET-CT imaging. The positive predictive value of 18F-FDG PET-CT evaluation of adrenal lesions has been reported as high as 95% with a similarly high negative predictive value of 94% [20].
Causes of false-positive adrenal lesions include angiomyolipoma, adrenal hyperplasia and adrenal adenomas (up to 5%) [21, 24]. FDG activity greater than that of the liver is generally associated with malignancy; however benign lesions have been reported with greater activity than liver [21].
Evaluation of the CT component can provide additional diagnostic information with identification of HU attenuation values of <10 on noncontrast CT for adrenal adenomas or fat-containing myelolipomata [21].
Symmetrical intense FDG activity with no identifiable abnormality on CT is associated with benign physiological FDG uptake (Fig. 6).
Fig. 6
18F-FDG PET-CT performed in a 50-year-old woman with inflammatory breast cancer. Diffuse increased FDG uptake is noted within the right breast (yellow arrow) and in a right axillary node (black arrow), consistent with malignancy (a). Increased symmetrical uptake is also noted within both adrenal glands with no abnormal correlate on CT (yellow arrow) (b). Post-chemotherapy PET-CT performed 5 months later demonstrates resolution of the activity within the breast, increased uptake in the bone marrow consistent with post treatment effect (black arrow) and persistent increased uptake in the adrenal glands (yellow arrow), confirming benign physiological activity (c)
Thyroid uptake
Thyroid uptake is incidentally identified on 18F-FDG PET imaging with a frequency of almost 4%, with a diffuse uptake pattern in roughly half of cases and a focal pattern in the remainder [22]. The majority of diffuse uptake represents chronic thyroiditis, multinodular goiter or Graves’ disease, whereas focal uptake is associated with a risk of malignancy that ranges from 30.9–63.6% in published studies [22, 23]. Focal thyroid uptake requires further investigation with ultrasound and tissue biopsy.
Uptake in the gastrointestinal tract
The pattern of physiological uptake within the GI tract is highly variable. Low-grade linear uptake is likely related to smooth muscle activity and swallowed secretions. More focal increased uptake in the distal esophagus is sometimes seen with Barrett’s esophagus. In view of this, referral for OGD may be reasonable in cases of increased uptake in the distal esophagus [14, 24].
The typical pattern of FDG uptake in the stomach is of low-grade activity in a J-shaped configuration. Small bowel typically demonstrates mild heterogeneous uptake throughout. Common pitfalls of small bowel evaluation relate to spuriously high uptake in underdistened or overlapping loops of bowel [14, 25].
Within the colon, FDG uptake is highly variable, however can be quite avid particularly in the cecum, right colon and rectosigmoid regions. Focal areas of FDG activity within the colon that are of greater intensity than background liver uptake should raise the suspicion of a colonic neoplasm (Fig. 7) [25, 26].
Fig. 7
18F-FDG PET-CT restaging scan performed in a 65-year-old female with a history of breast cancer. Incidental focal uptake is identified in the ascending colon where some abnormal thickening is seen on the CT component (yellow arrow). Colonoscopy confirmed the presence of a T3 adenocarcinoma
In a review of over 3,000 patients’ focal areas of abnormal FDG uptake within the gastrointestinal tract (GIT) were identified in 3% of cases of staging 18F-FDG PET-CT studies.
Incidental malignant lesions were identified in 19% of these patients with pre-malignant lesions including adenomas in 42% of the patients [27]. In view of this endoscopy referral is recommended in the absence of a clear benign correlate for focal areas of avid uptake on CT imaging.
Treatment-related causes of false-positive uptake
There are a number of conditions that can occur in patients undergoing treatment for cancer. When imaging these patients to assess for response, we often see these treatment-related conditions. It is important to recognize the imaging features to avoid misdiagnosis.
Thymus/thymic hyperplasia
Thymic hyperplasia post-chemotherapy is a well-described phenomenon. It is generally seen in children and young adults at a median of 12 months post chemotherapy [28]. The presence of increased FDG uptake in the anterior mediastinum can be attributed to thymic hyperplasia by identification of a triangular soft tissue density seen retrosternally on CT with a characteristic bilobed anatomical appearance [29]. In the presence of thymic hyperplasia, there is generally preservation of the normal shape of the gland despite an increase in size [30].
Superior mediastinal extension of thymic tissue is an anatomical variant that has been described in children and young adults (Fig. 8).
Fig. 8
A 3.5-year-old boy with abdominal Burkitt’s lymphoma. Coronal 18F-FDG PET scan obtained 5 months after completion of treatment shows increased activity in the thymus in an inverted V configuration and in superior thymic extension (white arrow). Note physiologic activity within the right neck in the sternocleidomastoid muscle (a). Axial CT image from the same 18F-FDG PET-CT study performed 5 months after treatment shows a nodule (white arrow) anteromedial to the left brachiocephalic vein (b). Axial fusion image shows that the FDG activity in the superior mediastinum corresponds to this enlarged nodule anteromedial to left brachiocephalic vein (white arrow) (c). Axial fusion image shows increased activity in an enlarged thymus consistent with thymic hyperplasia (white arrow; standardized uptake value 3.0) of similar intensity to activity in superior mediastinum (d)
It presents as a soft tissue nodule anteromedial to the left brachiocephalic vein and represents a remnant of thymic tissue along the path of migration in fetal life. In patients with thymic hyperplasia, a superior mediastinal nodule in this location may represent accessory thymic tissue. An awareness of this physiological variant is necessary to prevent misdiagnosis [28].
G-CSF changes
Granulocyte colony-stimulating factor is a glycoprotein hormone that regulates proliferation and differentiation of granulocyte precursors. It is used to accelerate recovery from chemotherapy-related neutropaenia in cancer patients. Intense increased FDG uptake is commonly observed in the bone marrow and spleen following GCSF therapy; however the bone marrow response to GCSF can be differentiated from pathological infiltration by its intense homogeneous nature without focally increased areas of FDG uptake. Increased FDG uptake attributable to GCSF uptake rapidly decreases following completion of therapy and generally resolves within a month (Fig. 9).
Fig. 9
18F-FDG PET-CT performed in a 46-year-old male post four cycles of chemotherapy for lymphoma and 2 weeks post administration of G-CSF. Note the diffuse homogeneous increased uptake throughout the bone marrow and the increased uptake in the spleen (yellow arrow)
Marked uptake in the bone marrow can also be seen following chemotherapy, reflecting marrow activation [31, 32].
Radiation pneumonitis
Inflammatory morphological changes in the radiation field post-irradiation of primary or metastatic lung tumor can result in false-positive diagnosis. Radiation pneumonitis typically occurs following high doses of external beam radiotherapy (>40 Gy). In the acute phase (1–8 weeks) radiation pneumonitis is characterized by ground-glass opacities and patchy consolidation. This can commonly lead to a misdiagnosis of infection. Chronic CT appearances of fibrosis and traction bronchiectasis in the radiation field allow correct interpretation of increased FDG uptake as radiation pneumonitis as opposed to disease recurrence [33, 34]. Other organs are also sensitive to radiation, and persistent uptake due to inflammatory change can persist for up to 1 year. It is important to elicit a history of radiation from the patient and to correlate the increased uptake with the CT findings to avoid missing a disease recurrence (Fig. 10).
Fig. 10
18F18-FDG PET-CT performed in a 52-year-old male with newly diagnosed esophageal carcinoma. Increased FDG uptake is identified within the esophagus (black arrow) and an upper abdominal lymph node (yellow arrow), consistent with malignancy (a). 18F18-FDG PET-CT performed 6 weeks post-completion of radiotherapy for esophageal carcinoma. Linear increased uptake is identified along the mediastinum in the radiation port (black arrow). This corresponds to areas of ground-glass change on CT (yellow arrow) consistent with acute radiation change (b)
Infection
Bone marrow suppression places chemotherapy patients at increased risk of infection.
Inflammatory cells such as neutrophils and activated macrophages at the site of infection or inflammation actively accumulate FDG [35].
In the post-therapy setting it has been reported that up to 40% of FDG uptake occurs in non-tumor tissue [12]. Infection is one of the most common causes of false-positive 18F-FDG PET-CT findings post-chemotherapy. Chemotherapy patients are susceptible to a wide variety of infections, including upper respiratory chest infections, pneumonia, colitis and cholecystitis. Reactivation of tuberculous infection can occur in immunocompromised patients post,chemotherapy, and correlation with CT imaging can prevent misdiagnosis in suspected cases.
Atypical infections such as cryptococcosis and pneumocystis can also present as false-positives on FDG imaging (Fig. 11) [36].
Fig. 11
18F-FDG PET-CT performed in a 57-year-old male 2 weeks following chemotherapy for lung cancer. Increased FDG uptake is noted within the cecum (black arrow). On CT there is some thickening of the cecal wall and stranding of the pericecal fat (yellow arrow) consistent with typhilits
Surgery and radiotherapy
There are inherent challenges in the interpretation of 18F-FDG PET-CT imaging in the postoperative patient. Non-tumor-related uptake of FDG is frequently identified in post-operative wound sites, at colostomy sites or at the site of post-radiation inflammatory change. 18F-FDG PET-CT imaging during the early postoperative/post-radiotherapy period may result in overstaging of patients because of non-neoplastic uptake of FDG [12]. Careful evaluation of the CT component in this setting is vital as CT imaging can provide valuable additional information regarding benign inflammatory conditions commonly encountered in the postoperative setting such as abscesses or wound infection. These conditions are often readily apparent on CT, particularly when oral and/or IV contrast CT is administered.
The reader should also bear in mind that avid uptake of FDG at postoperative/post radiotherapy sites may mask malignant FDG uptake in neighboring structures. In order to minimize non-tumoral uptake of FDG, it is advisable to allow at least 6 weeks post-surgery or completion of radiotherapy prior to performing staging 18F-FDG PET-CT [24].
Talc pleurodesis
Talc pleurodesis is a commonly performed procedure for the treatment of persistent pneumothorax or pleural effusion. The fibrotic/inflammatory reaction results in increased FDG uptake on 18F-FDG PET imaging with corresponding high-density areas of pleural thickening on CT. SUV values of between 2–16.3 have been seen years after the procedure [37].
When increased FDG uptake is indentified in the pleural space in a patient with a known history of pleurodesis, correlation with CT is recommended to detect pleural thickening of increased attenuation that suggests talc rather than tumor.
It is extremely important that a comprehensive history with relevant surgical interventions is available to the reader in order to ensure accurate diagnosis and staging (Fig. 12).
Fig. 12
18F-FDG PET-CT performed in a 69-year-old male with a history of non-Hodgkin’s lymphoma. The patient had a previous talc pleurodesis for a persistent left pleural effusion. Increased FDG activity is identified within the left pleura (black arrow). CT demonstrates a pleural effusion with high density material along the left pleural surface consistent with talc (yellow arrow)
Flare phenomenon
Bone healing is mediated by osteoblasts, and an early increase in osteoblast activity on successful treatment of metastatic disease has been described [38]. “Bone flare” refers to a disproportionate increase in bone lesion activity on isotope bone scan despite evidence of a therapeutic response to treatment in other lesions and has been well described in breast, prostate and lung tumors. ‘Flare phenomenon’ has also been described on 18F-FDG PET-CT in patients with lung and breast cancer who are receiving chemotherapy [39].
Differentiating between increased FDG uptake due to flare response and true disease progression may not be possible in the early post-treatment studies. While it is recognized that bone flare is a rare phenomenon, an increase in baseline skeletal activity and appearance of new bone lesions despite apparent response or stable disease elsewhere should be interpreted with caution to avoid erroneously suggesting progressive disease.
Osteonecrosis
Osteonecrosis or avascular necrosis has been well described as a complication of combination chemotherapy treatment, especially where it includes intermittent high-dose corticosteroids (e.g., lymphoma patients) [40]. Commonly encountered sites include the hip and less frequently the proximal humerus. Occasionally we can see a discrete entity known as jaw osteonecrosis. Patients receiving IV bisphosphonates for the management of bone metastases are at an increased risk of developing this [41]. The development of osteonecrosis in the mandible is frequently preceded by tooth extraction. Radiographic findings that may be visualized on CT include osteosclerosis, dense woven bone, thickened lamina dura and sub-periosteal bone deposition [42]. FDG uptake can be seen in areas of osteonecrosis (Fig. 13).
Fig. 13
18F-FDG PET-CT performed in a 46-year-old gentleman with a history of non-Hodgkin’s lymphoma. Increased FDG uptake is identified in the right proximal humerus (black arrow). CT of the area demonstrates a corresponding vague area of sclerosis (yellow arrow). Biopsy of the area yielded osteonecrosis with no evidence of metastatic disease
Insufficiency fractures
Pelvic insufficiency fractures have been described following irradiation for gynecological, colorectal, anal and prostate cancer. They commonly occur within 3–12 months post-radiation treatment, and osteoporosis is often a precipitating factor. FDG uptake in insufficiency fractures ranges from mild and diffuse to intense and heterogeneous. The maximum SUV values are variable with reported values of between 2.4–7.2 [43]. Differentiating insufficiency fractures from bone metastases can prove challenging; however they are often bilateral and occur in characteristic locations within the radiation field—sacral ala, pubic rami and iliac bones. Biopsy of insufficiency fractures can lead to irreparable damage and so careful correlation of 18F-FDG PET imaging with the CT component along with radiation history is vital for correct diagnosis. CT allows evaluation of the bone cortex and adjacent soft tissues, which can confirm the diagnosis of a pathological fracture or a metastatic deposit.
Follow-up of suspected insufficiency fractures demonstrates a reduction in FDG uptake over time (Fig. 14) [43].
Fig. 14
18F-FDG PET-CT performed in a 46-year-old female, 3 years post-chemo-radiation for cervical carcinoma. Low grade FDG uptake is identified in the left acetabulum and right pubic bone (black arrow). CT demonstrates pathological fractures in these areas consistent with insufficiency fractures (yellow arrow)
Sarcoidosis
Sarcoidosis is a chronic multisystem disorder characterized by non-caseating granulomas and derangement of normal tissue architecture [36]. Sarcoidosis has been reported in association with a variety of malignancies either synchronously or post-chemotherapy. Aggregation of inflammatory cells post-chemotherapy is associated with accumulation of FDG, and the intensity of FDG uptake may correlate with disease activity [36].
When suspected disease recurrence presents with signs and symptoms compatible with sarcoidosis (i.e., mediastinal and bihilar lymphadenopathy), this must be excluded by clinical, radiological and pathological correlation to prevent mistreatment (Fig. 15).
Fig. 15
18F-FDG PET-CT performed in a 67-year-old male for restaging of laryngeal carcinoma. Increased FDG uptake is noted in the left lower neck and left mediastinum (black arrow). CT demonstrates lymphadenopathy in these areas (yellow arrow), some of which are calcified. Biopsy of the left lower neck node confirmed sarcoidosis
FDG-PET negative tumors
There are a number of malignancies that can be FDG-PET negative. Examples include bronchoalveolar carcinoma and carcinoid tumors in the lung, renal cell carcinomas and hepatomas, mucinous tumors of the GIT and colon, and low grade lymphomas [3, 44–48]. Careful evaluation of the CT component of the study however will prevent a misdiagnosis (Fig. 16).
Fig. 16
18F-FDG PET-CT performed in a 52-year-old female with breast cancer and chronic hepatitis. On the CT component a hyper-enhancing mass is identified in segment 4 of the liver (yellow arrow). No increased FDG activity is identified in this area on the PET component. Biopsy of the mass confirmed the diagnosis of a hepatocellular carcinoma
Osteoblastic metastases
Bone metastases are diagnosed in up to 85% of patients with advanced breast cancer, leading to significant morbidity and mortality. Sclerotic bone metastases are commonly associated with breast carcinoma [49].18F-FDG PET imaging is superior to nuclear bone scan in detection of osteolytic breast metastases; however it commonly fails to diagnose osteoblastic or sclerotic metastases [50]. Review of bony windows on CT imaging allows identification of sclerotic metastases and ensures accurate staging of metastatic bone disease (Fig. 17).
Fig. 17
Staging 18F-FDG PET-CT performed in a 45-year-old female with newly diagnosed breast cancer. CT demonstrates multiple small sclerotic foci in the spine and pelvis (yellow arrow), consistent with bony metastases. These are FDG negative on the PET component of the study
Discussion/conclusion
18F-FDG PET imaging has dramatically changed cancer staging, and findings of restaging studies commonly effect changes in treatment protocols. 18F-FDG however is not tumor specific. As interpreting physicians we need to be aware of these false positives and false negatives. In this review we have outlined atypical physiological sites of FDG uptake along with common causes of FDG uptake in benign pathological conditions, many of which are treatment related. With 18F-FDG PET-CT we have the advantage of two imaging modalities. The PET component gives us functional information and the CT, anatomical data. We have discussed the importance of dual-modality imaging and correlation with CT imaging of the above conditions. Furthermore CT imaging provides important diagnostic information in evaluation of tumors that poorly concentrate FDG. In light of the increased reliance of 18F-FDG PET-CT for cancer staging, it is vital that radiologists and nuclear medicine physicians be aware of pitfalls in 18F-FDG PET-CT imaging and correlate PET and CT components to avoid misdiagnosis, overstaging of disease and unnecessary biopsies.
Other research papers related to the use of 18F-PET in management of cancer were published on this Scientific Web site:
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The expert consensus document explains that CCT may emerge in the field of interventional cardiology as no longer “a mere diagnostic tool,” as it was when first introduced into clinical practice more than 15 years ago.
According to the writing group, led by Daniele Andreini, MD, PhD, FSCCT of Centro Cardiologico Monzino in Milan, Italy, the potential value of CCTA to plan and guide interventional procedures lies in the wide information it can provide, including its accuracy for plaque and calcium characterization.
Andreini and his co-authors explain that, with its 3-dimensional nature and physiological assessment, CCTA is the only non-invasive imaging modality to assess Syntax Score and Syntax Score II, which enable the Heart Team to select the mode of revascularization (PCI or CABG) for patients with complex disease based on long-term mortality.
Additionally, CCTA may help in identifying anatomical characteristics of chronic total occlusions (CTO) that are associated with increased complexity of CTO percutaneous coronary intervention (PCI).
Before PCI, CCTA has the potential to be used to overcome some limitations of conventional invasive coronary angiography (ICA), including vessel foreshortening and difficulties in selecting optimal projections, with particular importance in bifurcation and ostial lesions.
A new CT scanner exposes patients to less radiation while providing doctors with clearer images to help with diagnoses, according to researchers at the National Institutes of Health.
“CT” stands for Computerized Tomography, which involves combining lots of x-ray images taken from different angles into a three-dimensional view of what’s inside the body. The technology can be especially useful for diagnoses in emergency situations, and the number of CT scans in recent years has increased dramatically, says Marcus Chen, a cardiovascular imager at the National Heart, Lung and Blood Institute, in Bethesda, Maryland. But the increase in the use of CT scans raises concerns about the amount of radiation to which patients are exposed, says Chen.
The risk of developing cancer from the radiation delivered by one CT scan is low, but the large number of scans performed each year—more than 70 million—translates to a significant risk. Researchers at the National Cancer Instituteestimated that the 72 million CT scans performed in the U.S. in 2007 could lead to 29,000 new cancers. On average, the organ studied in a CT scan of an adult receives around 15 millisieverts of radiation, compared with roughly 3.1 millisieverts of radiation exposurefrom natural sources each year.
This concern has led researchers to seek ways to reduce the amount of radiation exposure a patient receives in a scan. They are working to improve both hardware, to make the scans go faster and need less repetition, and software, to process the x-ray data better (see “Clear CT Scans with Less Radiation”).
The new CT scanning system, from Toshiba Medical, combines several improvements to reduce radiation exposure. The overall body of a CT scanner is shaped like a large ring. An x-ray tube and a detector spin separately in the ring, opposite one another, and a patient lies in the center. X-rays travel through the patient as they are delivered by the tube and captured by the detectors. The new Toshiba machine has five times as many detectors as most machines, which means that more of an organ can be captured at a time, decreasing the number of passes of the scanner required.
The x-ray components in the new system also spin faster—it takes only 275 milliseconds for them to complete a rotation, instead of 350 millisesconds—which means a patient gets irradiated for less time. In cases where doctors are looking at a moving organ such as the heart, the faster spinning also reduces the number of times a doctor may need to try to get a good image. “It’s like having faster film in your camera,” says Chen. Changes to the way the system generates x-rays and computes the images also mean patients spend less time getting hit with radiation.
Chen and colleagues at the National Heart Lung and Blood Institute used the Toshiba system to examine 107 adult patients of different ages and sizes for plaque buildup and cardiovascular problems. Patient size matters because more x-rays are required to image a larger person. “A lot of imaging centers will use one setting for all patients,” says Chen. “You get beautiful image quality on everybody, but the downside is that some patients get more radiation than they probably should.” In his study, the system takes a quick preliminary scan that uses low-dose x-rays to figure out how big a patient is and how much radiation will be needed for the diagnostic image.
Most patients who got a scan in the new Toshiba machine received 0.93 millisieverts of radiation, and almost every patient received less than 4 millisieverts. Radiation exposure was decreased by as much as 95 percent relative to other CT scanners currently in use.
The reader is advised to review Alternative #3 in the following article, published on 3/10/2013, including the Editorial in NEJM by Dr. Redberg, UCSF, included in the article, prior to reading the content, below — as background on this important topic having the potential to change best practice and standard of care in the ER/ED.
May 14, 2013 — One of the largest studies yet comparing medical resource use and outcomes among chest pain patients found that coronary CT angiography (CCTA) reduced medical resource utilization compared to standard care, generating fewer hospital admissions and shorter emergency room stays, researchers reported in the Journal of the American College of Cardiology.
The retrospective study compared matched cohorts of nearly 1,000 patients presenting with chest pain before and after implementation of routine CCTA evaluation. The study team from Stony Brook, NY, and two other institutions found that patients receiving the standard workup for chest pain — which is to say, mostly observation — were admitted to the hospital almost five times as frequently as patients receiving CT. The standard workup patients also had significantly longer stays when admitted.
The rates of invasive angiography without revascularization and recidivism were also much higher for patients receiving standard care (JACC, May 14, 2013).
“I think the take-home message is that CT done correctly by experts with the resources to do it correctly on a routine basis is not only safe and feasible, but reduces healthcare resource utilization,” said lead author Dr. Michael Poon, from Stony Brook Medical Center, in an interview with AuntMinnie.com.
More than $10 billion in costs
Caring for chest pain is an expensive proposition in the U.S., costing upward of $10 billion a year for some 6 million emergency department (ED) visits. To reduce the problem of overcrowded emergency rooms, some hospitals have implemented chest pain evaluation units, but the care isn’t comprehensive or necessarily all that helpful, Poon said.
“It has been a problem and a major dilemma for emergency rooms because for most patients, it’s a false alarm,” he said. “I would say nine out of 10 are false alarms, but how to pick out that one is very tricky and costly. So what most hospitals tend to do is a one-size-fits-all policy where everybody gets blood tests and an electrocardiogram, and they keep patients in the ED for an extended period of time. So if you come in Friday, you may stay until Monday.”
Coronary CTA has been shown to be safe and cost-effective for acute chest pain evaluation in several smaller studies and in three smaller multicenter trials, but those studies have been limited by a lack of CT availability outside of weekdays and office hours, while EDs must operate 24/7, Poon said.
“All of those studies were done in a randomized, controlled fashion and in an artificial environment,” where each patient was randomized to either a stress test or CT during weekday office hours, Poon said. “But in real life, there is no such thing; it cannot be done.”
More often, chest pain patients get a couple of tests and several hours of observation before they are sent home.
Poon and colleagues from Stony Brook, William Beaumont Hospital, and the University of Toronto wanted to do a “real-world” observational study to show that CT remained cost-effective and efficient for triaging chest pain patients.
The study sought to compare the overall impact of CT on clinical outcomes and efficacy, when comparing CCTA and the hospital’s standard evaluation for the triage of chest pain patients, with CCTA available 12 hours a day, seven days a week.
From a total of 9,308 patients with a chest pain diagnosis upon admission, the study used a matched sample of 894 patients without a history of coronary artery disease and without positive troponin or ischemic changes on an electrocardiogram.
Patients undergoing CT were scanned on a 64-detector-row scanner (LightSpeed VCT, GE Healthcare) following administration of iodinated contrast and metoprolol as a beta-blocker for those with heart rates faster than 65 beats per minute (bpm).
Those with a body mass index (BMI) less than 30 were scanned at 100 kV, while those with a BMI between 30 and 50 were scanned at 120 kV. Retrospective gating was reserved for patients whose heart rates remained above 65 bpm. Obstructive stenosis was defined as 50% or greater lumen narrowing.
CT choice faster, more efficient
The results showed a lower overall admission rate of 14% for CCTA, compared with 40% for the standard of care (p < 0.001). In fact, patients undergoing standard evaluation were 5.5 times more likely to be admitted (p < 0.001) than CCTA patients.
The length of stay in the ED was 1.6 times longer for standard care (p < 0.001) than for CCTA. For patients undergoing CCTA, the median radiation dose was 5.88 mSv.
“We also showed that the recidivism rate is higher for standard of care, meaning that they come back within one month with recurrent chest pain,” Poon said. The odds of returning to the ED within 30 days were five times greater for patients in the standard evaluation group (odds ratio, 5.06; p = 0.022).
“In the era of Obamacare, this is a penalty to the hospital; you don’t want the patient returning within one month with the same diagnosis,” he said. When that happens, “you’re not only not getting paid, you have to pay a penalty. It’s a double whammy. We also show that downstream invasive coronary angiography is significantly less in the CCTA arm.”
More invasive angiography
Patients receiving standard care were seven times more likely to undergo invasive coronary angiography without revascularization (odds ratio, 7.17; p ≤ 0.001), while neither patient group was significantly more likely to undergo revascularization.
“Many physicians use [catheterization] as a way of getting patients in and out of the hospital,” Poon said. However, the cost is more than $10,000 per procedure.
The high rate of angiography without revascularization in the standard care group was not seen in the Rule Out Myocardial Infarction/Ischemia Using Computer Assisted Tomography (ROMICAT) I and II trials, where all patients in the standard care group underwent stress testing before angiography was considered, he said.
Poon credited the ROMICAT trials’ routine use of stress tests with diminishing CT’s relative advantage in resource use. “In the real world, that is not available,” he said. The present study, in which only about 20% of the standard care patients underwent stress tests, is more realistic.
Finally, Poon and colleagues showed no difference in rates of myocardial infarction between CT and the standard of care within the first 30 days of follow up. However, that is changing as patients are followed for longer time periods, he noted.
“We see a trend starting to diverge in our next report, which follows [patients] for six months,” he said. “You see a lot more acute myocardial infarction in the standard care arm, and we’re going to extend it for a year.”
The authors concluded that using CCTA to rule out acute coronary syndromes in low-risk chest pain patients is likely to improve doctors’ ability to triage patients with the common presentation of chest pain. The result of this approach appears to be fewer hospital admissions, shorter stays, less recidivism, less invasive angiography, and better patient outcomes.
In any case, Poon said, the study method is permanent at Stony Brook University, where the standard of care now incorporates CCTA.
“We didn’t stop doing it after the study,” he said. “If you look at some of the randomized, controlled studies, they actually went back to the standard of care.” They had to because those kinds of protocols are only practical with a grant.
Other related articles on this Open Access Online Scientific Journal include the following:
Economic Toll of Heart Failure in the US: Forecasting the Impact of Heart Failure in the United States – A Policy Statement From the American Heart Association
Diagnosis of Cardiovascular Disease, Treatment and Prevention: Current & Predicted Cost of Care and the Promise of Individualized Medicine Using Clinical Decision Support Systems
Larry H Bernstein, MD, FACP and Aviva Lev-Ari, PhD, RN, Curator, 5/15/2013
Israel’s BriefCam sophisticated video analysis system helped ID the Boston Marathon terrorists
Photo Credit: FBI
An Israeli hi-tech company with an office in metropolitan Boston was instrumental in helping to identify and lead to the arrest of the Boston Marathon terrorists
BriefCam company’s technology enabled investigators to summarize an hour of surveillance video footage into only one minute and also zoom in on people and objects whose movements changed during the filming. The system then can track those movements form the beginning of the video.
“The technology used by U.S. security forces has already been installed around the world in police, HLS, intelligence entities and others, saving time and manpower and also providing a solution for the vast challenge of growing amounts of recorded video produced every hour, every day,” Israel Defense reported Monday.
The system is based on the concept of allowing the simultaneous display of several events. Once a certain movement or area is indentified, the system then tracks it during the entire film.
Amit Gavish, general manager for the Americas at BriefCam. based in Farmington, Massachusetts, told the GCN technology website, explained how it works. “If you have 10 hours to investigate on a specific camera, the software will take it to a 10-minute clip…events that occurred during those 10 hours will be presented simultaneously.”
Gavish, who is the former deputy head of security for the office of the Israeli President, said each event is “tagged” and marked with a time stamp on screen, so the viewer is watching events that happened hours apart, at the same instant.
“We are the search engine for video,” he added.
GCN reported that BriefCam and other sophisticated video systems have caught the eye of mass transit and port systems
“Most of these large cities have already been going down the path to do exactly what everybody’s wondering if they’re going to do. They’re not just putting in thousands of cameras, they’re putting in tens of thousands of cameras.” said David Gerulski, vice president of Texas-based BRS Labs, which installs artificial intelligence systems for video surveillance.
He said that the old-fashioned surveillance camera do not play a major part in helping to uncover terrorism or thwart crime and many cities simply “shut them off.”
BriefCam’s product is in use in the United States, Israel, China, Taiwan and other countries and was used after the massacre in Oslo in 2011, in which 87 people, including children, were murdered.
In the case of the Boston Marathon bombings, U.S. Park police technological service direct David Mulholland explained, “There may have been 500 people who walked in that general area, but the analytics piece will ignore that and flag anything that changed in that one specific area, such as a backpack being left behind. So instead of spending 20 minutes looking at video in which nothing happens, the investigator can hit a button and in 30 seconds go to the area of interest and then begin to dissect what actually happened.
About the Author:Tzvi Ben Gedalyahu is a graduate in journalism and economics from The George Washington University. He has worked as a cub reporter in rural Virginia and as senior copy editor for major Canadian metropolitan dailies. Tzvi wrote for Arutz Sheva for several years before joining the Jewish Press.
Surveillance cameras were not enough to catch the Boston Marathon terrorists. The Israeli-based BriefCam firm “collapsed” an hour of video and focused on suspicious objects – and people.
Israel’s BriefCam sophisticated video analysis system helped ID the Boston Marathon terrorists
Photo Credit: FBI
An Israeli hi-tech company with an office in metropolitan Boston was instrumental in helping to identify and lead to the arrest of the Boston Marathon terrorists
BriefCam company’s technology enabled investigators to summarize an hour of surveillance video footage into only one minute and also zoom in on people and objects whose movements changed during the filming. The system then can track those movements form the beginning of the video.
“The technology used by U.S. security forces has already been installed around the world in police, HLS, intelligence entities and others, saving time and manpower and also providing a solution for the vast challenge of growing amounts of recorded video produced every hour, every day,” Israel Defense reported Monday.
The system is based on the concept of allowing the simultaneous display of several events. Once a certain movement or area is indentified, the system then tracks it during the entire film.
Amit Gavish, general manager for the Americas at BriefCam. based in Farmington, Massachusetts, told the GCN technology website, explained how it works. “If you have 10 hours to investigate on a specific camera, the software will take it to a 10-minute clip…events that occurred during those 10 hours will be presented simultaneously.”
Gavish, who is the former deputy head of security for the office of the Israeli President, said each event is “tagged” and marked with a time stamp on screen, so the viewer is watching events that happened hours apart, at the same instant.
“We are the search engine for video,” he added.
GCN reported that BriefCam and other sophisticated video systems have caught the eye of mass transit and port systems
“Most of these large cities have already been going down the path to do exactly what everybody’s wondering if they’re going to do. They’re not just putting in thousands of cameras, they’re putting in tens of thousands of cameras.” said David Gerulski, vice president of Texas-based BRS Labs, which installs artificial intelligence systems for video surveillance.
He said that the old-fashioned surveillance camera do not play a major part in helping to uncover terrorism or thwart crime and many cities simply “shut them off.”
BriefCam’s product is in use in the United States, Israel, China, Taiwan and other countries and was used after the massacre in Oslo in 2011, in which 87 people, including children, were murdered.
In the case of the Boston Marathon bombings, U.S. Park police technological service director David Mulholland explained, “There may have been 500 people who walked in that general area, but the analytics piece will ignore that and flag anything that changed in that one specific area, such as a backpack being left behind. So instead of spending 20 minutes looking at video in which nothing happens, the investigator can hit a button and in 30 seconds go to the area of interest and then begin to dissect what actually happened.
Treatment, Prevention and Cost of Cardiovascular Disease: Current & Predicted Cost of Care and the Potential for Improved Individualized Care Using Clinical Decision Support Systems
Author, and Content Consultant to e-SERIES A: Cardiovascular Diseases: Justin Pearlman, MD, PhD, FACC
4. Arterial Elasticity in Quest for a Drug Stabilizer: Isolated Systolic Hypertension caused by Arterial Stiffening Ineffectively Treated by Vasodilatation Antihypertensives
5. Clinical Decision Support Systems: Realtime Clinical Expert Support — Biomarkers of Cardiovascular Disease : Molecular Basis and Practical Considerations
PA Heidenreich, NM Albert, LA Allen, DA Bluemke, J Butler, et al. Circulation: Heart Failure 2013;6.
Print ISSN: 1941-3289, Online ISSN: 1941-3297.
Heart failure (HF) poses a major burden on productivity and cost of national healthcare expenditures
among older Americans, more are hospitalized for HF than for any other medical condition.
As the population ages, the prevalence of HF is expected to increase.
The purpose of this report is to
provide an in-depth look at how the changing demographics in the United States will impact the prevalence and cost of care for HF for different US populations.
US Census Bureau projected population counts for years 2012 to 2030.
Projections of the US Population With HF From 2010 to 2030 for Different Age Groups
Year
All ages
18-44 y
45-64 y
65-79 y
> 80
2012
5 813 262
396 578
1 907 141
2 192 233
1 317 310
2015
6 190 606
402 926
1 949 669
2 483 853
1 354 158
2020
6 859 623
417 600
1 974 585
3 004 002
1 463 436
2025
7 644 674
434 635
1 969 852
3 526 347
1 713 840
2030
8 489 428
450 275
2 000 896
3 857 729
2 180 528
Future Costs of HF
The future costs of HF were estimated by methods developed by the American Heart Association
project the prevalence and costs of HF from 2012 to 2030
factor out the costs attributable to comorbid conditions.
The model does this by assuming that
(1) HF prevalence percentages will remain constant by age, sex, and race/ethnicity;
(2) the costs of technological innovation will rise at the current rate.
HF prevalence and costs (direct and indirect) were projected using the following steps:
1. HF prevalence and average cost per person were estimated by age group (18–44, 45–64, 65–79, ≥80 years), gender (male, female), and race/ethnicity (white non-Hispanic, white Hispanic, black, other) [32]. The initial HF cost per person and rate of increase in cost was determined for each demographic group, as a percentage of total healthcare expeditures.
2. Inflation is separately addressed by correcting dollar values from Medical Expenditure Panel Survey (MEPS) to 2010 dollars.
3. Nursing home spending triggered an adjustment. The estimates project the incremental cost of care attributable to heart failure (HF).
4. Total HF population prevalence and costs were projected by multiplying the US Census–projected population of each demographic group by the percentage prevalence and average cost
5. The total work loss and home productivity loss costs were generated by multiplying per capita work days lost attributable to HF by (1) prevalence of HF, (2) the probability of employment given HF (for work loss costs only), (3) mean per capita daily earnings, and (4) US Census population projection counts.
Projections of Indirect Costs
Indirect costs of lost productivity from morbidity and premature mortality were estimated as detailed below.
Morbidity costs represent the value of lost earnings attributable to HF and include loss of work among
currently employed individuals and those too sick to work, as well as
home productivity loss, which is the value of household services performed by household members who do not receive pay for the services.
Total Costs Attributable to Heart Failure (HF)
Projections of Total Cost of Care ($ Billions) for HF for Different Age Groups of the US Population
Year
All
18–44
45–64
65–79
≥ 80
2012
Medical
20.9
0.33
3.67
8.46
8.42
Indirect: Morbidity
5.42
0.52
1.92
2.05
0.93
Indirect: Mortality
4.35
0.66
2.53
0.98
0.18
Total
30.7
1.51
8.12
11.5
9.53
2020
Medical
31.1
0.43
4.58
14.2
11.8
Indirect: Morbidity
7.09
0.66
2.20
3.11
1.12
Indirect: Mortality
5.39
0.79
2.89
1.49
0.22
Total
43.6
1.88
9.67
18.8
13.2
2030
Medical
53.1
0.59
5.86
23.3
23.4
Indirect: Morbidity
9.80
0.91
2.54
4.48
1.87
Indirect: Mortality
6.84
0.98
3.32
2.16
0.37
Total
69.7
2.48
11.7
29.9
25.6
Excludes HF care costs that have been attributed to comorbid conditions.
Cost of Care
Total medical costs are projected to increase from $20.9 billion in 2012 to $53.1 billion in 2030, a 2.5-fold increase. Assuming continuation of current hospitalization practices, the majority (80%) of the costs stem from
hospitalization. Also, the majority of increase is from directs costs. Indirect costs are expected to rise as well, but at a lower rate, from $9.8 billion to $16.6 billion, an increase of 69%.
Direct costs (cost of medical care) are expected to increase at a faster rate than indirect costs because of premature deaths and lost productivity.
The total cost of HF (direct and indirect costs) is expected to increase in 2030 from the current $30.7 billion to at least $69.8 billion. This will amount to $244 for every US adult in 2030.
Thus the burden of HF for the US healthcare system will grow substantially during the next 18 years if current trends continue.
It is estimated that
by 2030, the prevalence of HF in the United States will increase by 25%, to 3.0%.
>8 million people in the US (1 in every 33) will have HF by 2030.
the projected total direct medical costs of HF between 2012 and 2030 (in 2010 dollars) will increase from $21 billion to $53 billion.
Total costs, including indirect costs for HF, are estimated to increase from $31 billion in 2012 to $70 billion in 2030.
If one assumes all costs of cardiac care for HF patients are attributable to HF
(no cost attribution to comorbid conditions), the 2030 projected cost estimates of treating patients with HF will be 3-fold higher ($160 billion in direct costs).
Projections can be lowered if action is taken to reduce the health and economic burden of HF. Strategies, plans, and implementation to prevent HF and improve the efficiency of care are needed.
Causes and Stages of HF
If the projections for accelerating HF costs are to be avoided, attention to the different causes of HF and their risk factors is warranted.
HF is a clinical syndrome that results from a variety of cardiac disorders
idiopathic dilated cardiomyopathy
cardiac valvular disease
pericarditis or pericardial effusion
ischemic heart disease
primary or secondary hypertension
renovascular disease
advanced liver disease with decreased venous return
pulmonary hypertension
prolonged hypoalbuminemia with generalized interstitial edema
diabetic nephropathy
heart muscle infiltration disease such as primary or secondary amyloidosis
myocarditis
rhythm disorders
congenital diseases
accidental trauma (war, chest trauma)
toxicities (methamphetamine, cocaine, heavy metals, chemotherapy)
HF generally causes symptoms:
shortness of breath
fatigue
swelling (edema)
inability to lay flat (orthopnea, paroxysmal nocturnal dyspnea)
possibly cough, wheezing
In the Western world the predominant causes of HF are:
coronary artery disease
valvular disease
hypertension
viral, alcohol, methamphetamine or other drug toxicity cardiomyopathy
In 2001, the American College of Cardiology and AHA practice guidelines for chronic HF promoted a classification system that encompasses 4 stages of HF.
Stage A: Patients at high risk for developing HF in the future but no functional or structural heart disorder.
Stage B: a structural heart disorder but no symptoms.
Stage C: previous or current symptoms of heart failure, manageable with medical treatment.
Stage D: advanced disease requiring hospital-based support, a heart transplant or palliative care.
Stages A and B are considered precursors to the clinical HF and are meant
to alert healthcare providers to known risk factors for HF and
the available therapies aimed at mitigating disease progression.
Stage A patients have risk factors for HF hypertension, atherosclerotic heart disease, and/or diabetes mellitus.
Patients with stage B are asymptomatic patients who have developed structural heart disease from a variety of potential insults to the heart muscle such as myocardial infarction or valvular heart disease.
Stages C and D represent the symptomatic phases of HF, with stage C manageable and stage D failing medical management, resulting in marked symptoms at rest or with minimal activity despite optimal medical therapy.
Therapeutic interventions include:
dietary salt restriction and diuretics
medications known to prolong survival (beta blockers, ACE inhibitors, aldosterone inhibitors)
implantable devices such as pacemakers and defibrillators
stoppage of tobacco, toxic drugs, excess alcohol
Classic demographic risk factors for the development of HF include
older age, male gender, ethnicity, and low socioeconomic status.
comorbid disease states contribute to the development of HF
Ischemic heart disease
Hypertension
Diabetes mellitus, insulin resistance, and obesity are also linked to HF development,
with diabetes mellitus increasing the risk of HF by ≈2-fold in men and up to 5-fold in women.
Smoking remains the single largest preventable cause of disease and premature death in the United States.
Translation of Scientific Evidence into Clinical Practice
In multiple studies, failures to apply evidence-based management strategies are blamed for avoidable hospitalizations and/or deaths from HF
Improved implementation of guidelines can delay, mitigate or prevent the onset of HF, and improve survival. Performance improvement programs have facilitated the implementation of evidence-based therapies in both hospital and ambulatory care settings.
Care transition programs by hospitals have become more widespread
in an effort to reduce avoidable readmissions.
The interventions used by these programs include
initiating discharge planning early in the course of hospital care,
actively involving patients and families or caregivers in the plan of care,
providing new processes and systems that ensure patient understanding of the plan of care before discharge from the hospital, and
improving quality of care by continually monitoring adherence to national evidence-based guidelines with appropriate adaptations for individual differences in needs and responses.
In multiple studies,adherence to the HF plan of care was associated with reduced all-cause mortality as well as HF hospitalization.
It is anticipated that care transition programs may increase appropriate admissions while decreasing inappropriate admissions
This would have a potentially benenficial impact on the 30-day all-cause readmission rate that has become
a focus of public reporting in pay for performance.
More than a quarter of Medicare spending occurs in the last year of life, and
the costs of care during the last 6 months for a patient with HF have been increasing (11% from 2000 to 2007).
Improving end-of-life care cost effectiveness for patients with stage D HF will require ongoing
improved prediction of outcomes
integration of multiple aspects of care
educated examination of alternatives and priorities
improved decision-making
unbiased allocation of resources and coverage for this process rather than unbalanced coverage favoring catastrophic care
Palliative care, including formal hospice care, is increasingly advocated for patients with advanced HF.
Offering palliative care to patients with HF may lead to
more conservative (and less expensive) treatment
consistent with many patients’ goals for care
The use of hospice services is growing among the HF population,
HF now the second most common reason for entering hospice
but hospice declaration may impose automated restrictions on care that can impose an impediment to election of hospice
A recent study of patients in hospice care found that
patients with HF were more likely than patients with cancer to use hospice services longer than 6 months or to be discharged from hospice care alive.
Highlights:
1. Increasing incidence and costs of care for heart failure projected from 2012 to 2030
2. Direct costs rising at greater rate than indirect costs
3. American Heart Association has defined 4 stages of HF, the last 2 of which are advanced
4. Stages C & D are clinically overt and contribute to rehospitalization
5. Stage D accounts for a significant use of end-of-life hospice care
6. There are evidence-based guidelines for the provision of coordinated care that are not widely applied at present
Basic questions raised:
1. If stages A & B are under the radar, then what measures can best trigger the use of evidence-based guidelines for care?
2. Why are evidence-based guidelines commonly not deployed?
Flaws in the “evidence” due to bias, design errors, limted ability to extrapolate to the patients it should address
Delays in education, convincing of caretakers, and deployment
Inadequate resources
Financial or other disincentives
The arguments for introducing coordinated care and for evidence-based guidelines is strong.
Arguments AGAINST slavish imposition of evidence based medicine include genetic individuality (what is best on average is not necessarily best for each genetically and behaviorly distinct individual). Strict adherence to evidence-based guidelines also stifles innovative explorations. None-the-less, deviations from evidence-based plans should be cautious, well-documented, and well-informed, not due to mal-aligned incentives, ignorance, carelessness or error.
The question of when and how to intervene most cost effectively is unanswered. If some patients are salt-sensitive as a contribution to the prevalence of hypertension and heart failure, should EVERYONE be salt restricted or should there be a more concerted effort to define who is salt sensitive? What if it proved more cost-effective to restrict salt intake for everyone, even though many might be fine with high sodium intake, and some might even benefit from or require high sodium intake? Is it reasonable to impose costs, hurdles, even possible harm on some as a cheaper way to achieve “greater good”?
These issues are highly relevant to the proposed emphasis on holistic solutions.
2. A Case Study from the GENETIC CONNECTIONS — In The Family: Heart Disease Seeking Clues to Heart Disease in DNA of an Unlucky Family
By GINA KOLATA 2013.05.13 New York Times
Scientists are studying the genetic makeup of the Del Sontro family for
telltale mutations or aberrations in the DNA.
Robin Ashwood, one of Mr. Del Sontro’s sisters, found out she had extensive heart disease even though her electrocardiograms was normal. Six of her seven siblings also have heart disease, despite not having any of the traditional risk factors. Then, after a sister, just 47 years old, found out she had advanced heart disease, Mr. Del Sontro, then 43, went to a cardiologist. An X-ray of his arteries revealed the truth. Like his grand-father, his mother, his four brothers and two sisters, he had heart disease.
Now he and his extended family have joined an extraordinary federal research project that is using genetic sequencing to find factors that increase the risk of heart disease beyond the usual suspects — high cholesterol, high blood pressure, smoking and diabetes.“We don’t know yet how many pathways there are to heart disease,” said Dr. Leslie Biesecker, who directs the study Mr. Del Sontro joined. “That’s the power of genetics. To try and dissect that.”
“I had bought the dream: if you just do the right things and eat the right things, you will be O.K.,” said Mr. Del Sontro, whose cholesterol and blood pressure are reassuringly low.
3. Arterial Stiffness and Cardiovascular Events : The Framingham Heart Study
Various measures of arterial stiffness and wave reflection have been proposed as cardiovascular risk markers.
Prior studies have not assessed relations of a comprehensive panel of stiffness measures to prognosis. First-onset major cardiovascular disease events in relation to arterial stiffness
pulse wave velocity [PWV]
wave reflection
augmentation index
carotid-brachial pressure amplification)
central pulse pressure
were analyzed in 2232 participants (mean age, 63 years; 58% women) in the Framingham Heart Study by a proportional hazards model. During median follow-up of 7.8 (range, 0.2 to 8.9) years,
151 of 2232 participants (6.8%) experienced an event.
In multivariable models adjusted for
age
sex
systolic blood pressure
use of antihypertensive therapy
total and high-density lipoprotein cholesterol concentrations
smoking
presence of diabetes mellitus
higher aortic PWV was associated with a 48% increase in cardiovascular disease risk (95% confidence interval, 1.16 to 1.91 per SD; P 0.002).
After PWV was added to a standard risk factor model, integrated discrimination improvement was 0.7% (95% confidence interval, 0.05% to 1.3%; P 0.05).
In contrast,
augmentation index,
central pulse pressure, and
pulse pressure amplification
were not related to cardiovascular disease outcomes in multivariable models.
Higher aortic stiffness assessed by PWV
is associated with increased risk for a first cardiovascular event.
Aortic PWV improves risk prediction when added to standard risk factors and may represent
a valuable biomarker of cardiovascular disease risk
We shall here visit a recent article by Justin D. Pearlman and Aviva Lev-Ari, PhD, RN, on
Pros and Cons of Drug Stabilizers for ArterialElasticity as an Alternative or Adjunct to Diuretics and Vasodilators in the Management of Hypertension, titled
4. Hypertension and Vascular Compliance: 2013 Thought Frontier – An Arterial Elasticity Focus
Speaking at the 2013 International Conference on Prehypertension and Cardiometabolic Syndrome, meeting cochair Dr Reuven Zimlichman (Tel Aviv University, Israel) argued that there is a growing number of patients for whom the conventional methods are inappropriate for
the definitions of hypertension
the risk-factor tables used to guide treatment
Most antihypertensives today work by producing vasodilation or decreasing blood volume which may be
ineffective treatments for patients in whom average arterial diameter and circulating volume are not the causes of hypertension and as targets of therapy may promote decompensation
In the future, he predicts, “we will have to start looking for a totally different medication that will aim to
improve or at least to stabilize arterial elasticity: medication that might affect factors that determine the stiffness of the arteries, like collagen, like fibroblasts.
Those are not the aim of any group of antihypertensive medications today.”
Zimlichman believes existing databases could be used to develop algorithms that focus on
inelasticity as a mechanism of hypertensive disease
He also points out that
ambulatory blood-pressure-monitoring devices can measure elasticity
A related article was published on the relationship between arterial stiffening and primary hypertension.
Arterial stiffening provides sufficient explanation for primary hypertension.
KH Pettersen, SM Bugenhagen, J Nauman, DA Beard, SW Omholt.
By use of empirically well-constrained computer models describing the coupled function of the baroreceptor reflex and mechanics of the circulatory system, we demonstrate quantitatively that
arterial stiffening seems sufficient to explain age-related emergence of hypertension.
Specifically,
the empirically observed chronic changes in pulse pressure with age
the capacity of hypertensive individuals to regulate short-term changes in blood pressure becomes impaired
The results suggest that a major target for treating chronic hypertension in the elderly may include
the reestablishment of a proper baroreflex response.
Substantial data indicate that CVD is a life course disease that begins with the evolution of risk factors that contribute to
subclinical atherosclerosis.
Subclinical disease culminates in overt CVD. The onset of CVD itself portends an adverse prognosis with greater
risks of recurrent adverse cardiovascular events, morbidity, and mortality.
Clinical assessment alone has limitations. Clinicians have used additional tools to aid clinical assessment and to enhance their ability to identify the “vulnerable” patient at risk for CVD, as suggested by a recent National Institutes of Health (NIH) panel.
Biomarkers are one such tool to better identify high-risk individuals, to diagnose disease conditions promptly for diagnosis, prognosis, and treatment guidance.
Biological marker (biomarker): A laboratory test value that is objectively measured and evaluated as an indicator of
normal biological processes,
pathogenic processes, or
pharmacological responses to a therapeutic intervention.
Type 0 biomarker: A marker of the natural history of a disease
Type 0 correlates longitudinally with known clinical indices/predicts outcomes.
Type I biomarker: A marker that captures the effects of a therapeutic intervention
Type I assesses an aspect of treatment mechanism of action.
Type 2 biomarker (surrogate end point): A marker intended to predict outcomes on the basis of
epidemiologic
therapeutic
pathophysiologic or
other scientific evidence.
With biomarkers monitoring disease progression or response to therapy, the patient can serve as his or her own control (follow-up values may be compared to baseline values).
Costs may be less important for prognostic markers when they are largely restricted to people with disease (total cost=cost per person x number to be tested, plus down-stream costs). Some biomarkers (e.g., an exercise stress test) may be used for both diagnostic and prognostic purposes.
Generally there are cost differences in establishing a prognostic value versus diagnostic value of a biomarker:
prognostic utility typically requires a large sample and a prospective design, whereas
diagnostic value often can be determined with a smaller sample in a cross-sectional design
Regardless of the intended use, it is important to remember that biomarkers that do not change disease management
cannot affect patient outcome and therefore
are unlikely to be cost-effective (judged in terms of quality-adjusted life-years gained).
Typically, for a biomarker to change management, it is important to have evidence that risk reduction strategies should vary with biomarker levels, and/or biomarker-guided management achieves advantages over a management scheme that ignores the biomarker levels.
Typically it means that biomarker levels should be modifiable by therapy.
Gil David and Larry Bernstein have developed, in consultation with Prof. Ronald Coifman, in the Yale University Applied Mathematics Program, a software system that is the equivalent of an intelligent Electronic Health Records Dashboard that
provides empirical medical reference and
suggests quantitative diagnostics options.
The current design of the Electronic Medical Record (EMR) is a
linear presentation of portions of the record
by services
by diagnostic method, and
by date
to cite examples.
This allows perusal through a graphical user interface (GUI) that
partitions the information or necessary reports in a workstation entered by keying to icons.
presents decision support
Examples of data partitions include:
history
medications
laboratory reports
imaging
EKGs
The introduction of a DASHBOARD adds presentation of
drug reactions
allergies
primary and secondary diagnoses, and
critical information
about any patient the care giver needing access to the record.
A basic issue for such a tool is what information is presented and how it is displayed.
A determinant of the success of this endeavor is if it
facilitates workflow
facilitates decision-making process
reduces medical error.
Continuing work is in progress in extending the capabilities with model datasets, and sufficient data based on the assumption that computer extraction of data from disparate sources will, in the long run, further improve this process.
For instance, there is synergistic value in finding coincidence of:
ST shift on EKG
elevated cardiac biomarker (troponin)
in the absence of substantially reduced renal function.
Similarly, the conversion of hematology based data into useful clinical information requires the establishment of problem-solving constructs based on the measured data.
The most commonly ordered test used for managing patients worldwide is the hemogram that often incorporates
morphologic review of a peripheral smear
descriptive statistics
While the hemogram has undergone progressive modification of the measured features over time the subsequent expansion of the panel of tests has provided a window into the cellular changes in the
production
release
or suppression
of the formed elements from the blood-forming organ into the circulation. In the hemogram one can view data reflecting the characteristics of a broad spectrum of medical conditions.
Progressive modification of the measured features of the hemogram has delineated characteristics expressed as measurements of
size
density, and
concentration
resulting in many characteristic features of classification. In the diagnosis of hematological disorders
proliferation of marrow precursors
domination of a cell line
suppression of hematopoiesis
Other dimensions are created by considering
the maturity and size of the circulating cells.
The application of rules-based, automated problem solving should provide a valid approach to
the classification and interpretation of the data used to determine a knowledge-based clinical opinion.
The exponential growth of knowledge since the mapping of the human genome enabled by parallel advances in applied mathematics that have not been a part of traditional clinical problem solving.
As the complexity of statistical models has increased
the dependencies have become less clear to the individual.
Contemporary statistical modeling has a primary goal of finding an underlying structure in studied data sets.
The development of an evidence-based inference engine that can substantially interpret the data at hand and
convert it in real time to a “knowledge-based opinion”
could improve clinical decision-making by incorporating into the model
multiple complex clinical features as well as onset and duration .
An example of a difficult area for clinical problem solving is found in the diagnosis of Systemic Inflammatory Response Syndrome (SIRS) and associated sepsis. SIRS is a costly diagnosis in hospitalized patients. Failure to diagnose it in a timely manner increases the financial and safety hazard. The early diagnosis of SIRS/sepsis is made by the application of defined criteria by the clinician.
temperature
heartrate
respiratory rate and
WBC count
The application of those clinical criteria, however, defines the condition after it has developed, leaving unanswered the hope for
a reliable method for earlier diagnosis of SIRS.
The early diagnosis of SIRS may possibly be enhanced by the measurement of proteomic biomarkers, including
transthyretin
C-reactive protein
procalcitonin
mean arterial pressure
Immature granulocyte (IG) measurement has been proposed as a
readily available indicator of the presence of granulocyte precursors (left shift).
The use of such markers, obtained by automated systems in conjunction with innovative statistical modeling, provides
a promising support to early accurate decision making.
Such a system aims to reduce medical error by utilizing
the conjoined syndromic features of disparate data elements .
How we frame our expectations is important. It determines
the data we collect to examine the process.
In the absence of data to support an assumed benefit, there is no proof of validity at whatever cost.
Potential arenas of benefit include:
hospital operations
nonhospital laboratory studies
companies in the diagnostic business
planners of health systems
The problem stated by LL WEED in “Idols of the Mind” (Dec 13, 2006):
“ a root cause of a major defect in the health care system is that, while we falsely admire and extol the intellectual powers of highly educated physicians, we do not search for the external aids their minds require.” Hospital information technology (HIT) use has been focused on information retrieval, leaving
the unaided mind burdened with information processing.
We deal with problems in the interpretation of data presented to the physician, and how the situation could be improved through better
design of the software that presents data .
The computer architecture that the physician uses to view the results is more often than not presented
as the designer would prefer, and not as the end-user would like.
In order to optimize the interface for physician, the system could have a “front-to-back” design, with the call up for any patient
A dashboard design that presents the crucial information that the physician would likely act on in an easily accessible manner
Each item used has to be closely related to a corresponding criterion needed for a decision.
Feature Extraction.
Eugene Rypka contributed greatly to clarifying the extraction of features in a series of articles, which
set the groundwork for the methods used today in clinical microbiology.
The method he describes is termed S-clustering, and
will have a significant bearing on how we can view laboratory data.
He describes S-clustering as extracting features from endogenous data that
amplify or maximize structural information to create distinctive classes.
The method classifies by taking the number of features with sufficient variety to generate maps.
The mapping is done by
a truth table NxN of messages and choices
each variable is scaled to assign values for each message choice.
For example, the message for an antibody titer would be converted from 0 + ++ +++ to 0 1 2 3.
Even though there may be a large number of measured values, the variety is reduced by this compression, even though it may represent less information.
The main issue is
how a combination of variables falls into a table to convey meaningful information.
We are concerned with
accurate assignment into uniquely variable groups by information in test relationships.
One determines the effectiveness of each variable by its contribution to information gain in the system. The reference or null set is the class having no information. Uncertainty in assigning to a classification can be countered by providing sufficient information.
One determines the effectiveness of each variable by its contribution to information gain in the system. The possibility for realizing a good model for approximating the effects of factors supported by data used
for inference owes much to the discovery of Kullback-Liebler distance or “information”, and Akaike
found a simple relationship between K-L information and Fisher’s maximized log-likelihood function.
In the last 60 years the application of entropy comparable to
the entropy of physics, information, noise, and signal processing,
developed by Shannon, Kullback, and others
integrated with modern statistics,
as a result of the seminal work of Akaike, Leo Goodman, Magidson and Vermunt, and work by Coifman
Akaike pioneered recognition that the choice of model influence results in a measurable manner. In particular, a larger number of variables promotes further explanations of variance, such that a model selection criterion is important that penalizes for the number of variables when success is measured by explanation of variance.
Gil David et al. introduced an AUTOMATED processing of the data available to the ordering physician and
can anticipate an enormous impact in diagnosis and treatment of perhaps half of the top 20 most common
causes of hospital admission that carry a high cost and morbidity.
For example:
anemias (iron deficiency, vitamin B12 and folate deficiency, and hemolytic anemia or myelodysplastic syndrome);
pneumonia; systemic inflammatory response syndrome (SIRS) with or without bacteremia;
multiple organ failure and hemodynamic shock;
electrolyte/acid base balance disorders;
acute and chronic liver disease;
acute and chronic renal disease;
diabetes mellitus;
protein-energy malnutrition;
acute respiratory distress of the newborn;
acute coronary syndrome;
congestive heart failure;
hypertension
disordered bone mineral metabolism;
hemostatic disorders;
leukemia and lymphoma;
malabsorption syndromes; and
cancer(s)[breast, prostate, colorectal, pancreas, stomach, liver, esophagus, thyroid, and parathyroid].
endocrine disorders
prenatal and perinatal diseases
Rudolph RA, Bernstein LH, Babb J: Information-Induction for the diagnosis of
myocardial infarction. Clin Chem 1988;34:2031-2038.
Bernstein LH (Chairman). Prealbumin in Nutritional Care Consensus Group.
Measurement of visceral protein status in assessing protein and energy
malnutrition: standard of care. Nutrition 1995; 11:169-171.
Bernstein LH, Qamar A, McPherson C, Zarich S, Rudolph R. Diagnosis of myocardial infarction:
integration of serum markers and clinical descriptors using information theory.
Yale J Biol Med 1999; 72: 5-13.
Kaplan L.A.; Chapman J.F.; Bock J.L.; Santa Maria E.; Clejan S.; Huddleston D.J.; Reed R.G.;
Bernstein L.H.; Gillen-Goldstein J. Prediction of Respiratory Distress Syndrome using the
Abbott FLM-II amniotic fluid assay. The National Academy of Clinical Biochemistry (NACB)
Fetal Lung Maturity Assessment Project. Clin Chim Acta 2002; 326(8): 61-68.
Bernstein LH, Qamar A, McPherson C, Zarich S. Evaluating a new graphical ordinal logit method
(GOLDminer) in the diagnosis of myocardial infarction utilizing clinical features and laboratory
data. Yale J Biol Med 1999; 72:259-268.
Bernstein L, Bradley K, Zarich SA. GOLDmineR: Improving models for classifying patients with
chest pain. Yale J Biol Med 2002; 75, pp. 183-198.
Ronald Raphael Coifman and Mladen Victor Wickerhauser. Adapted Waveform Analysis as a Tool for Modeling, Feature Extraction, and Denoising. Optical Engineering, 33(7):2170–2174, July 1994.
R. Coifman and N. Saito. Constructions of local orthonormal bases for classification and regression.
C. R. Acad. Sci. Paris, 319 Série I:191-196, 1994.
Realtime Clinical Expert Support and validation System
We have developed a software system that is the equivalent of an intelligent Electronic Health Records Dashboard that provides empirical medical reference and suggests quantitative diagnostics options. The primary purpose is to gather medical information, generate metrics, analyze them in realtime and provide a differential diagnosis, meeting the highest standard of accuracy. The system builds its unique characterization and provides a list of other patients that share this unique profile, therefore
utilizing the vast aggregated knowledge (diagnosis, analysis, treatment, etc.) of the medical community.
The main mathematical breakthroughs are provided by accurate patient profiling and inference methodologies
in which anomalous subprofiles are extracted and compared to potentially relevant cases.
As the model grows and its knowledge database is extended, the diagnostic and the prognostic become more accurate and precise.
We anticipate that the effect of implementing this diagnostic amplifier would result in
higher physician productivity at a time of great human resource limitations,
safer prescribing practices,
rapid identification of unusual patients,
better assignment of patients to observation, inpatient beds,
intensive care, or referral to clinic,
shortened length of patients ICU and bed days.
The main benefit is a
real time assessment as well as
diagnostic options based on comparable cases,
flags for risk and potential problems
as illustrated in the following case acquired on 04/21/10. The patient was diagnosed by our system with severe SIRS at a grade of 0.61 .
The patient was treated for SIRS and the blood tests were repeated during the following week. The full combined record of our system’s assessment of the patient, as derived from the further hematology tests, is illustrated below. The yellow line shows the diagnosis that corresponds to the first blood test (as also shown in the image above). The red line shows the next diagnosis that was performed a week later.
The MISSIVE(c) system, by Justin Pearlman, is an alternative approach that includes not only automated data retrieval and reformatting of data for decision support, but also an integrated set of tools to speed up analysis, structured for quality and error reduction, couplled to facilitated report generation, incorporation of just-in-time knowledge and group expertise, standards of care, evidence-based planning, and both physician and patient instruction.
See also in Pharmaceutical Intelligence:
The Cost Burden of Disease: U.S. and Michigan.CHRT Brief. January 2010. @www.chrt.org
The National Hospital Bill: The Most Expensive Conditions by Payer, 2006. HCUP Brief #59.
Rudolph RA, Bernstein LH, Babb J: Information-Induction for the diagnosis of myocardial infarction. Clin Chem 1988;34:2031-2038.
Bernstein LH, Qamar A, McPherson C, Zarich S, Rudolph R. Diagnosis of myocardial infarction:
integration of serum markers and clinical descriptors using information theory.
Yale J Biol Med 1999; 72: 5-13.
Kaplan L.A.; Chapman J.F.; Bock J.L.; Santa Maria E.; Clejan S.; Huddleston D.J.; Reed R.G.;
Bernstein L.H.; Gillen-Goldstein J. Prediction of Respiratory Distress Syndrome using the Abbott FLM-II amniotic fluid assay. The National Academy of Clinical Biochemistry (NACB) Fetal Lung Maturity Assessment Project. Clin Chim Acta 2002; 326(8): 61-68.
Bernstein LH, Qamar A, McPherson C, Zarich S. Evaluating a new graphical ordinal logit method (GOLDminer) in the diagnosis of myocardial infarction utilizing clinical features and laboratory
data. Yale J Biol Med 1999; 72:259-268.
Bernstein L, Bradley K, Zarich SA. GOLDmineR: Improving models for classifying patients with chest pain. Yale J Biol Med 2002; 75, pp. 183-198.
R. Coifman and N. Saito. Constructions of local orthonormal bases for classification and regression. C. R. Acad. Sci. Paris, 319 Série I:191-196, 1994.
Herceptin Fab (antibody) – light and heavy chains (Photo credit: Wikipedia)
Personalized Medicine (Photo credit: Wikipedia)
Diagnostic of pathogenic mutations. A diagnostic complex is a dsDNA molecule resembling a short part of the gene of interest, in which one of the strands is intact (diagnostic signal) and the other bears the mutation to be detected (mutation signal). In case of a pathogenic mutation, the transcribed mRNA pairs to the mutation signal and triggers the release of the diagnostic signal (Photo credit: Wikipedia)
Companion diagnostics and their companion therapies is defined here as a method enabling
LIKELY responders to therapies that are specific for patients with ma specific molecular profile.
The result of this statement is that the diagnostics permitted to specific patient types gives access to
novel therapies that may otherwise not be approve or reimbursed in other, perhaps “similar” patients
who lack a matching identification of the key identifier(s) needed to permit that therapy,
thus, entailing a poor expected response.
The concept is new because:
(1) The diagnoses may be closely related by classical criteria, but at the same time they are
not alike with respect to efficacy of treatment with a standard therapy.
(2) The companion diagnostics is restricted to dealing with a targeted drug-specific question
without regard to other clinical issues.
(3) The efficacy issue it clarifies is reliant on a deep molecular/metabolic insight that is not available, except through
emergent genomic/proteomic analysis that has become available and which has rapidly declining cost to obtain.
The limitation example given is HER2 testing for use of Herceptin in therapy for non-candidates (HER2 negative patients).
The problem is that the current format is a “one test/one drug” match, but decision support may require a combination of
validated biomakers obtained on a small biopsy sample (technically manageable) with confusing results.
While HER2 negative patients are more likely to be pre-menopausal with a more aggressive tumor than postmenopausal,
the HER2 negative designation does not preclude treatment with Herceptin.
So the Herceptin would be given in combination, but with what other drug in a non-candidate?
The point that L.E.K. makes is that providing highly validated biomarkers linked to approved therapies, it is necessary to pursue more holistic decision support tests that interrogate multiple biomarkers (panels of companion diagnostic markers) and discovery of signatures for treatments that are also used with a broad range of information, such as,
traditional tests,
imaging,
clinical trials,
outcomes data,
EMR data,
reimbursement and coverage data.
A comprehensive solution of this nature appears to be a distance from realization. However, is this the direction that will lead to tomorrows treatment decision support approaches?
Surveying the Decision Support Testing Landscape
As a starting point, L.E.K. characterized the landscape of available tests in the U.S. that inform treatment decisions compiled from ~50 leading diagnostics companies operating in the U.S. between 2004-2011. L.E.K. identified more than 200 decision support tests that were classified by test purpose, and more specifically, whether tests inform treatment decisions for a single drug/class (e.g., companion diagnostics) vs. more holistic treatment decisions across multiple drugs/classes (i.e., multiagent response tests).
Treatment Decision Support Tests
Companion Diagnostics Single drug/class
Predict response/safety or guide dosing of a single drug or class
HercepTest Dako
Determines HER2 protein overexpression for Herceptin treatment selection
Multiple drugs/classes
Vysis ALK Break
Apart FISH
Abbott Labs Predicts the NSCLC patient response to Xalkori
Other Decision Support
Provide prognostic and predictive information on the benefit of treatment
Oncotype Dx Genomic Health, Inc.
Predicts both recurrence of breast cancer and potential patient benefit to chemotherapy regimens
PML-RARα Clarient, Inc.
Predicts response to all-trans retinoic acid (ATRA) and other chemotherapy agents
TRUGENE Siemens
Measures resistence to multiple HIV-1 anti-retroviral agents
Multi-agent Response
Inform targeted therapy class selection by interrogating a panel of biomarkers
Target Now Caris Life Sciences
Examines tumor’s molecular profile to tailor treatment options
ResponseDX: Lung Response Genetics, Inc.
Examines multiple biomarkers to guide therapeutic treatment decisions for NSCLC patients
Source: L.E.K. Analysis
Includes IVD and LDT tests from
top-15 IVD test suppliers,
top-four large reference labs,
top-five AP labs, and
top-20 specialty reference labs.
For descriptive purposes only, may not map to exact regulatory labeling
Most tests are companion diagnostics and other decision support tests that provide guidance on
single drug/class therapy decisions.
However, holistic decision support tests (e.g., multi-agent response) are growing the fastest at 56% CAGR.
The emergence of multi-agent response tests suggests diagnostics companies are already seeing the need to aggregate individual tests (e.g., companion diagnostics) into panels of appropriate markers addressing a given clinical decision need. L.E.K. believes this trend is likely to continue as
increasing numbers of biomarkers become validated for diseases and multiplexing tools
enabling the aggregation of multiple biomarker interrogations into a single test
to become deployed in the clinic.
Personalized Medicine Partnerships
L.E.K. also completed an assessment of publicly available personalized medicine partnership activity from 2009-2011 for ~150 leading organizations operating in the U.S. to look at broader decision support trends and emergence of more holistic solutions beyond diagnostic tests.
Survey of partnerships deals was conducted for
top-10 academic medical centers research institutions,
top-25 biopharma,
top-four healthcare IT companies,
top-three healthcare imaging companies,
top-20 IVD manufacturers,
top-20 laboratories,
top-10 payers/PBMs,
top-15 personalized healthcare companies,
top-10 regulatory/guideline entities, and
top-20 tools vendors for the period of 01/01/2009 – 12/31/2011.
Source: Company websites, GenomeWeb, L.E.K. analysis
Across the sample we identified 189 publicly announced partnerships of which ~65% focused on more traditional areas (biomarker discovery, companion diagnostics and targeted therapies). However, a significant portion (~30%) included elements geared towards creating more holistic decision support models.
Partnerships categorized as holistic decision support by L.E.K. were focused on
mining large patient datasets (e.g., from payers or providers),
creating information technology (IT) infrastructure needed to enable holistic decision support models and
integrating various datasets to create richer decision support solutions.
Interestingly, holistic decision support partnerships often included stakeholders outside of biopharma and diagnostics such as
research tools,
payers/PBMs,
healthcare IT companies as well as
emerging personalized healthcare (PHC) companies (e.g., Knome, Foundation Medicine and 23andMe).
This finding suggests that these new stakeholders will be increasingly important in influencing care decisions going forward.
Holistic Treatment Decision Support
Holistic Decision Support Focus
Technology Provider Partners
Stakeholder Deploying the Solution
Holistic Decision
Support Activities
Molecular Profiling
Life Technologies
TGEN/US
Oncology
Sequencing of triple-negative breast cancer patients to identify potential treatment strategies
Foundation Medicine
Novartis
Deployment of cancer genomics analysis platform to support Novartis clinical research efforts
Predictive genomics
Clarient, Inc.
(GE Healthcare)
Acorn
Research
Biomarker profiling of patients within Acorn’s network of providers to support clinical research efforts
GenomeQuest
Beth Israel Deaconess
Medical Center
Whole genome analysis and to guide patient management
Outcomes Data Mining
AstraZeneca
WellPoint
Evaluate comparative effectiveness of selected marketed therapies
23andMe
NIH
Leverage information linking drug response and CYP2C9/CYP2C19 variation
Pfizer
Medco
Leverage patient genotype, phenotype and outcome for treatment decisions and target therapeutics
Healthcare IT Infrastructure
IBM
WellPoint
Deploy IBM’s Watson-based solution to evidence-based healthcare decision-making support
Oracle
Moffitt Cancer Center
Deploy Oracle’s informatics platform to store and manage patient medical information
Data Integration
Siemens Diagnostics
Susquehanna Health
Integration of imaging and laboratory diagnostics
Cernostics
Geisinger
Health
Integration of advanced tissue diagnostics, digital pathology, annotated biorepository and EMR
to create solutions
next-generation treatment decision support solutions
CardioDx
GE Healthcare
Integration of genomics with imaging data in CVD
Implications
L.E.K. believes the likely debate won’t center on which models and companies will prevail. It appears that the industry is now moving along the continuum to a truly holistic capability.
The mainstay of personalized medicine today will become integrated and enhanced by other data.
The companies that succeed will be able to capture vast amounts of information
and synthesize it for personalized care.
Holistic models will be powered by increasingly larger datasets and sophisticated decision-making algorithms.
This will require the participation of an increasingly broad range of participants to provide the
science, technologies, infrastructure and tools necessary for deployment.
There are a number of questions posed by this study, but only some are of interest to this discussion:
Group A. Pharmaceuticals and Devices
How will holistic decision support impact the landscape ?
(e.g., treatment /testing algorithms, decision making, clinical trials)
Group B. Diagnostics and Decision Support
What components will be required to build out holistic solutions?
– Testing technologies
– Information (e.g., associations, outcomes, trial databases, records)
– IT infrastructure for data integration and management, simulation and reporting
How can various components be brought together to build seamless holistic decision support solutions?
Group C. Providers and Payers
In which areas should models be deployed over time?
Where are clinical and economic arguments most compelling?
Part 2: Historical Scientific Leaders Memoirs – Realtime Clinical Expert Support
Gil David and Larry Bernstein have developed, in consultation with Prof. Ronald Coifman,
in the Yale University Applied Mathematics Program,
A software system that is the equivalent of an intelligent Electronic Health Records Dashboard that
provides empirical medical reference and
suggests quantitative diagnostics options.
The current design of the Electronic Medical Record (EMR) is a linear presentation of portions of the record
by services
by diagnostic method, and
by date, to cite examples.
This allows perusal through a graphical user interface (GUI) that partitions the information or necessary reports
in a workstation entered by keying to icons.
This requires that the medical practitioner finds the
history,
medications,
laboratory reports,
cardiac imaging and
EKGs, and
radiology in different workspaces.
The introduction of a DASHBOARD has allowed a presentation of
drug reactions
allergies
primary and secondary diagnoses, and
critical information
about any patient the care giver needing access to the record.
The advantage of this innovation is obvious. The startup problem is what information is presented and
how it is displayed, which is a source of variability and a key to its success.
We are proposing an innovation that supercedes the main design elements of a DASHBOARD and utilizes
the conjoined syndromic features of the disparate data elements.
So the important determinant of the success of this endeavor is that
it facilitates both the workflow and the decision-making process with a reduction of medical error.
Continuing work is in progress in extending the capabilities with model datasets, and sufficient data because
the extraction of data from disparate sources will, in the long run, further improve this process.
For instance, the finding of both ST depression on EKG coincident with an elevated cardiac biomarker (troponin), particularly in the absence of substantially reduced renal function. The conversion of hematology based data into useful clinical information requires the establishment of problem-solving constructs based on the measured data.
The most commonly ordered test used for managing patients worldwide is the hemogram that often incorporates
the review of a peripheral smear.
While the hemogram has undergone progressive modification of the measured features over time the subsequent expansion of the panel of tests has provided a window into the cellular changes in the
production
release
or suppression
of the formed elements from the blood-forming organ into the circulation. In the hemogram one can view
data reflecting the characteristics of a broad spectrum of medical conditions.
Progressive modification of the measured features of the hemogram has delineated characteristics expressed as measurements of
size
density, and
concentration,
resulting in many characteristic features of classification. In the diagnosis of hematological disorders
proliferation of marrow precursors, the
domination of a cell line, and features of
suppression of hematopoiesis
provide a two dimensional model. Other dimensions are created by considering
the maturity of the circulating cells.
The application of rules-based, automated problem solving should provide a valid approach to
the classification and interpretation of the data used to determine a knowledge-based clinical opinion.
The exponential growth of knowledge since the mapping of the human genome enabled by parallel advances in applied mathematics that have not been a part of traditional clinical problem solving.
As the complexity of statistical models has increased
the dependencies have become less clear to the individual.
Contemporary statistical modeling has a primary goal of finding an underlying structure in studied data sets.
The development of an evidence-based inference engine that can substantially interpret the data at hand and
convert it in real time to a “knowledge-based opinion”
could improve clinical decision-making by incorporating
multiple complex clinical features as well as duration of onset into the model.
An example of a difficult area for clinical problem solving is found in the diagnosis of SIRS and associated sepsis. SIRS (and associated sepsis) is a costly diagnosis in hospitalized patients. Failure to diagnose sepsis in a timely manner creates a potential financial and safety hazard. The early diagnosis of SIRS/sepsis is made by the application of defined criteria by the clinician.
temperature
heart rate
respiratory rate and
WBC count
The application of those clinical criteria, however, defines the condition after it has developed and
has not provided a reliable method for the early diagnosis of SIRS.
The early diagnosis of SIRS may possibly be enhanced by the measurement of proteomic biomarkers, including
transthyretin
C-reactive protein
procalcitonin
mean arterial pressure
Immature granulocyte (IG) measurement has been proposed as a
readily available indicator of the presence of granulocyte precursors (left shift).
The use of such markers, obtained by automated systems
in conjunction with innovative statistical modeling, provides
a promising approach to enhance workflow and decision making.
Such a system utilizes the conjoined syndromic features of
disparate data elements with an anticipated reduction of medical error.
How we frame our expectations is so important that it determines
the data we collect to examine the process.
In the absence of data to support an assumed benefit, there is no proof of validity at whatever cost.
This has meaning for
hospital operations,
for nonhospital laboratory operations,
for companies in the diagnostic business, and
for planning of health systems.
The problem stated by LL WEED in “Idols of the Mind” (Dec 13, 2006): “ a root cause of a major defect in the health care system is that, while we falsely admire and extol the intellectual powers of highly educated physicians, we do not search for the external aids their minds require”. HIT use has been
focused on information retrieval, leaving
the unaided mind burdened with information processing.
We deal with problems in the interpretation of data presented to the physician, and how through better
design of the software that presents this data the situation could be improved.
The computer architecture that the physician uses to view the results is more often than not presented
as the designer would prefer, and not as the end-user would like.
In order to optimize the interface for physician, the system would have a “front-to-back” design, with
the call up for any patient ideally consisting of a dashboard design that presents the crucial information
that the physician would likely act on in an easily accessible manner.
The key point is that each item used has to be closely related to a corresponding criterion needed for a decision.
Feature Extraction.
This further breakdown in the modern era is determined by genetically characteristic gene sequences
that are transcribed into what we measure. Eugene Rypka contributed greatly to clarifying the extraction
of features in a series of articles, which
set the groundwork for the methods used today in clinical microbiology.
The method he describes is termed S-clustering, and
will have a significant bearing on how we can view laboratory data.
He describes S-clustering as extracting features from endogenous data that
amplify or maximize structural information to create distinctive classes.
The method classifies by taking the number of features
with sufficient variety to map into a theoretic standard.
The mapping is done by
a truth table, and each variable is scaled to assign values for each: message choice.
The number of messages and the number of choices forms an N-by N table. He points out that the message
choice in an antibody titer would be converted from 0 + ++ +++ to 0 1 2 3.
Even though there may be a large number of measured values, the variety is reduced
by this compression, even though there is risk of loss of information.
Yet the real issue is how a combination of variables falls into a table with meaningful information. We are concerned with accurate assignment into uniquely variable groups by information in test relationships. One determines the effectiveness of each variable by
its contribution to information gain in the system.
The reference or null set is the class having no information. Uncertainty in assigning to a classification is
only relieved by providing sufficient information.
The possibility for realizing a good model for approximating the effects of factors supported by data used
for inference owes much to the discovery of Kullback-Liebler distance or “information”, and Akaike
found a simple relationship between K-L information and Fisher’s maximized log-likelihood function.
In the last 60 years the application of entropy comparable to
the entropy of physics, information, noise, and signal processing,
has been fully developed by Shannon, Kullback, and others, and has been integrated with modern statistics,
as a result of the seminal work of Akaike, Leo Goodman, Magidson and Vermunt, and work by Coifman.
Gil David et al. introduced an AUTOMATED processing of the data available to the ordering physician and
can anticipate an enormous impact in diagnosis and treatment of perhaps half of the top 20 most common
causes of hospital admission that carry a high cost and morbidity.
For example: anemias (iron deficiency, vitamin B12 and folate deficiency, and hemolytic anemia or myelodysplastic syndrome); pneumonia; systemic inflammatory response syndrome (SIRS) with or without bacteremia; multiple organ failure and hemodynamic shock; electrolyte/acid base balance disorders; acute and chronic liver disease; acute and chronic renal disease; diabetes mellitus; protein-energy malnutrition; acute respiratory distress of the newborn; acute coronary syndrome; congestive heart failure; disordered bone mineral metabolism; hemostatic disorders; leukemia and lymphoma; malabsorption syndromes; and cancer(s)[breast, prostate, colorectal, pancreas, stomach, liver, esophagus, thyroid, and parathyroid].
Rudolph RA, Bernstein LH, Babb J: Information-Induction for the diagnosis of myocardial infarction. Clin Chem 1988;34:2031-2038.
Bernstein LH (Chairman). Prealbumin in Nutritional Care Consensus Group.
Measurement of visceral protein status in assessing protein and energy malnutrition: standard of care. Nutrition 1995; 11:169-171.
Bernstein LH, Qamar A, McPherson C, Zarich S, Rudolph R. Diagnosis of myocardial infarction: integration of serum markers and clinical descriptors using information theory. Yale J Biol Med 1999; 72: 5-13.
Kaplan L.A.; Chapman J.F.; Bock J.L.; Santa Maria E.; Clejan S.; Huddleston D.J.; Reed R.G.; Bernstein L.H.; Gillen-Goldstein J. Prediction of Respiratory Distress Syndrome using the Abbott FLM-II amniotic fluid assay. The National Academy of Clinical Biochemistry (NACB) Fetal Lung Maturity Assessment Project. Clin Chim Acta 2002; 326(8): 61-68.
Bernstein LH, Qamar A, McPherson C, Zarich S. Evaluating a new graphical ordinal logit method (GOLDminer) in the diagnosis of myocardial infarction utilizing clinical features and laboratory data. Yale J Biol Med 1999; 72:259-268.
Bernstein L, Bradley K, Zarich SA. GOLDmineR: Improving models for classifying patients with chest pain. Yale J Biol Med 2002; 75, pp. 183-198.
Ronald Raphael Coifman and Mladen Victor Wickerhauser. Adapted Waveform Analysis as a Tool for Modeling, Feature Extraction, and Denoising. Optical Engineering, 33(7):2170–2174, July 1994.
R. Coifman and N. Saito. Constructions of local orthonormal bases for classification and regression. C. R. Acad. Sci. Paris, 319 Série I:191-196, 1994.
Realtime Clinical Expert Support and validation System
We have developed a software system that is the equivalent of an intelligent Electronic Health Records Dashboard that provides empirical medical reference and suggests quantitative diagnostics options.
The primary purpose is to
gather medical information,
generate metrics,
analyze them in realtime and
provide a differential diagnosis,
meeting the highest standard of accuracy.
The system builds its unique characterization and provides a list of other patients that share this unique profile, therefore utilizing the vast aggregated knowledge (diagnosis, analysis, treatment, etc.) of the medical community. The
main mathematical breakthroughs are provided by accurate patient profiling and inference methodologies
in which anomalous subprofiles are extracted and compared to potentially relevant cases.
As the model grows and its knowledge database is extended, the diagnostic and the prognostic become more accurate and precise. We anticipate that the effect of implementing this diagnostic amplifier would result in
higher physician productivity at a time of great human resource limitations,
safer prescribing practices,
rapid identification of unusual patients,
better assignment of patients to observation, inpatient beds,
intensive care, or referral to clinic,
shortened length of patients ICU and bed days.
The main benefit is a real time assessment as well as diagnostic options based on
comparable cases,
flags for risk and potential problems
as illustrated in the following case acquired on 04/21/10. The patient was diagnosed by our system with severe SIRS at a grade of 0.61 .
The patient was treated for SIRS and the blood tests were repeated during the following week. The full combined record of our system’s assessment of the patient, as derived from the further hematology tests, is illustrated below. The yellow line shows the diagnosis that corresponds to the first blood test (as also shown in the image above). The red line shows the next diagnosis that was performed a week later.
Chemistry of Herceptin [Trastuzumab] is explained with images in
The Cost Burden of Disease: U.S. and Michigan CHRT Brief. January 2010.
@www.chrt.org
The National Hospital Bill: The Most Expensive Conditions by Payer, 2006. HCUP Brief #59.
Rudolph RA, Bernstein LH, Babb J: Information-Induction for the diagnosis of myocardial infarction. Clin Chem 1988;34:2031-2038.
Bernstein LH, Qamar A, McPherson C, Zarich S, Rudolph R. Diagnosis of myocardial infarction: integration of serum markers and clinical descriptors using information theory. Yale J Biol Med 1999; 72: 5-13.
Kaplan L.A.; Chapman J.F.; Bock J.L.; Santa Maria E.; Clejan S.; Huddleston D.J.; Reed R.G.; Bernstein L.H.; Gillen-Goldstein J. Prediction of Respiratory Distress Syndrome using the Abbott FLM-II amniotic fluid assay. The National Academy of Clinical Biochemistry (NACB) Fetal Lung Maturity Assessment Project. Clin Chim Acta 2002; 326(8): 61-68.
Bernstein LH, Qamar A, McPherson C, Zarich S. Evaluating a new graphical ordinal logit method (GOLDminer) in the diagnosis of myocardial infarction utilizing clinical features and laboratory data. Yale J Biol Med 1999; 72:259-268.
Bernstein L, Bradley K, Zarich SA. GOLDmineR: Improving models for classifying patients with chest pain. Yale J Biol Med 2002; 75, pp. 183-198.
Ronald Raphael Coifman and Mladen Victor Wickerhauser. Adapted Waveform Analysis as a Tool for Modeling, Feature Extraction, and Denoising. Optical Engineering 1994; 33(7):2170–2174.
Coifman and N. Saito. Constructions of local orthonormal bases for classification and regression. C. R. Acad. Sci. Paris, 319 Série I:191-196, 1994.
W Ruts, S De Deyne, E Ameel, W Vanpaemel,T Verbeemen, And G Storms. Dutch norm data for 13 semantic categories and 338 exemplars. Behavior Research Methods, Instruments, & Computers 2004; 36 (3): 506–515.
De Deyne, S Verheyen, E Ameel, W Vanpaemel, MJ Dry, WVoorspoels, and G Storms. Exemplar by feature applicability matrices and other Dutch normative data for semantic concepts. Behavior Research Methods 2008; 40 (4): 1030-1048
Landauer, T. K., Ross, B. H., & Didner, R. S. (1979). Processing visually presented single words: A reaction time analysis [Technical memorandum]. Murray Hill, NJ: Bell Laboratories. Lewandowsky, S. (1991).
Weed L. Automation of the problem oriented medical record. NCHSR Research Digest Series DHEW. 1977;(HRA)77-3177.
Naegele TA. Letter to the Editor. Amer J Crit Care 1993:2(5):433.
Retinal prosthetic strategy with the capacity to restore normal vision, Sheila Nirenberg and Chethan Pandarinath
Abstract: 2209 Introduction and Objectives One of the biggest problems in the diagnosis of prostate cancer (PCa), which distinguishes it from many other solid tumors, is the difficulty of tumor imaging by means of standard visualization techniques. A transrectal ultrasound (TRUS) biopsy is mostly performed on the basis of risen PSA and is often blind – tissue specimens are taken from standard zones. Biopsy under MRI control is technically and logistically complicated and expensive, while TRUS can`t always differentiate the suspicious areas. A TRUS-based innovative technique, “Histoscanningâ€� is used in our centre for PCa identification and targeted biopsy.
Methods Prior to template biopsy we have performed Histoscanning to 31 patients, with previous one to six negative TRUS biopsies and persistent clinical suspicion of PCa (elevated PSA, high-grade prostatic intraepithelial neoplasia (HPIN) in 4 cores or suspicious TRUS findings). Age range was 51 – 75, with PSA values 3,8 – 14,3 ng/ml. Prostate size range 22-67cc. Most of the patients (n-26) from this group received therapy with 5α-reductase inhibitors for 6 months or more. Depending on the gland size, 10-14 standardized cores were taken + 4 additional cores from the suspicious zones marked on Histoscanning report.
Results Histopathology identified PCa in 13 out of 31 patients , adenocarcinomas with Gleason score ranging 6-8. In 11 patients with no signs of PCa we found HPIN or low-grade PIN. Comparing histology reports with Histoscanning mapping, in 8 PCa cases we found high correlation of this method with histopathological study on the amount and location of tumor lesions and in 5 cases Histoscanning showed greater spread of lesions, with good correlation of the tumor location.
Conclusions Due to the effectiveness, ease of use and the short time required for data processing, Histoscanning is a promising method for more effective targeted biopsy of the prostate.
As a result of ongoing research, we aim to evaluate sensitivity and specificity of the method, fuse it with MRI, to create a 3D model for biopsy or surgery. In the future, this data could be used for decision making on the nerve-sparing prostatectomy and minimally invasive focal treatments such as cryoablation, high-intensity focused ultrasound, radiofrequency or laser ablation.
Date & Time: May 8, 2013 10:30 AM Session Title: Prostate Cancer: Detection & Screening (V) Sources of Funding: none
Personal note:
On the authors’ intention to fuse HistoScanning with MRI: The authors report a very compelling clinical benefit just from using HistoScanning for guiding their biopsies. HistoScanning itself results in a 3D mapping of the prostate and the suspicious locations inside.
3D mapping of the prostate by HistoScanning analysis following motorised TRUS. the colored locations represents tissue suspicious for being cancer.
Fusing ultrasound & MRI images is prone to image-registration errors (e.g. due to differences in the prostate’s shape-distortion by the probe) which are larger than the accuracy sought for when performing biopsy or nerve-sparing surgery. I recommend anyone who wishes to guide biopsies and treatment based on MRI and therefore is in need for good level of localized-MRI interpretation, to rely on dedicated MRI interpretation applications and not intra-modalities image fusion.
In addition, major benefits of using HistoScanning for managing prostate cancer patients are the accessibility; A urologist can perform himself, at any time he chooses and at any place, simplicity; it only requires routine TRUS, patient-friendly; it lasts less than a minute and does not require anesthesia and low-cost; it’s ultrasound! Mixing HistoScanning with MRI will certainly eliminate these.
April 22, 2013 — If women being treated with tamoxifen for breast cancer see their breast density drop, they may have a 50% lower risk of dying from the disease, according to a new study by Swedish researchers published online April 22 in the Journal of Clinical Oncology.
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In a study that hints at a role for breast density measurement in predicting therapy response, researchers at Karolinska Institutet in Stockholm found that women who had a relative reduction of more than 20% in the absolute dense area of their breast tissue during the course of tamoxifen treatment had a 50% reduction in breast cancer mortality over a span of 15 years, compared with women who had little or no change (JCO, April 22, 2013).
Tamoxifen is usually given over five years to prevent the recurrence of breast cancer in women who have completed their primary treatment. The researchers conducted the study to assess whether there was a link between reduced tissue density and the effectiveness of tamoxifen therapy.
Dr. Per Hall from Karolinska Institutet.
No method has been available for assessing which women are likely to respond to tamoxifen and not relapse with breast cancer, according to Dr. Per Hall and colleagues.
“To the best of our knowledge, this is the first time mammographic density change has been used as a prognostic marker of response to tamoxifen,” Hall and colleagues wrote. “We observed that women treated with tamoxifen who experienced mammographic density reduction were associated with substantially better long-term breast-cancer-specific survival. If validated, mammographic density change has the potential to be an early marker for therapy response.”
For the study, Hall and colleagues included data collected in Sweden between 1993 and 1995 from 974 postmenopausal patients with breast cancer who had both baseline and follow-up mammograms. Of these, 474 patients received tamoxifen treatment and 500 did not. The team measured mammographic density using a statistical method that expressed the data as absolute dense area.
During the follow-up period, 121 patients (12.4%) died from breast cancer. But women who were treated with tamoxifen and who experienced a relative density reduction of more than 20% had a 50% lower risk of death, compared with women whose breast density didn’t change, the team found.
In the group that was not treated with tamoxifen, there was no statistically significant association between mammographic density change and survival, and the survival advantage was not found when absolute dense areas at baseline or follow-up were evaluated separately.
The findings come on the heels of a recommendation issued on April 15 from the U.S. Preventive Services Task Force (USPSTF) regarding the use of tamoxifen and a related drug, raloxifene, as preventive measures against breast cancer in asymptomatic women. The USPSTF suggests that women who are at increased risk for breast cancer talk to their physician about the potential benefits and harms of the drugs to prevent breast cancer; women who are not at increased risk should not use them.
If further research confirms the Swedish group’s findings, mammographic density change has the potential to be an early marker for therapy response, Hall and colleagues wrote. In fact, given ongoing developments in automatic algorithms for mammographic density measurement, using density change to monitor the effectiveness of treatment could be a cost-effective clinical tool.
“What’s needed is accurate measurement of mammographic density,” Hall said in a statement released by the Karolinska Institutet. “Measuring changes in density can be a simple and cheap means of assessing the effect of the treatment. If a patient is not responding to tamoxifen, maybe they should be given a different drug.”
Mayor Bloomberg Officially Transfers 12 Acres of Roosevelt Island to “Cornell Tech” – Technion-Cornell’s Jacobs Technion-Cornell Innovation Institute (JTCII)
Mayor Bloomberg, Cornell University President David J. Skorton, and Technion-Israel Institute of Technology President Peretz Lavie today formally executed a 99-year lease between the City of New York and Cornell Tech, which will pave the way for construction of the Cornell Tech campus on Roosevelt Island, exactly two years after Cornell and academic partner Technion were named the first winners of the City’sApplied Sciences NYC competition.
Cornell Tech is a revolutionary model for graduate-level technology education and is establishing itself as a world-leading institution, conferring graduate degrees and conducting research that drives technology, innovation, commercialization and the creation and retention of businesses and jobs in New York City. The land transfer will allow for groundbreaking on the campus to begin in January, with the first classrooms on Roosevelt Island set to open in 2017. Cornell Tech students began classes this fall in space donated by Google at their Chelsea headquarters on Eighth Avenue. Construction of the entire 2 million square foot build-out, which will span 12 acres on Roosevelt Island and house approximately 2,000 students and nearly 280 faculty and researchers, will be completed by 2043.
New details and renderings for the first phase of the full campus were also released today, revealing how the physical campus will be designed to support Cornell Tech’s focus on innovation, entrepreneurship and collaboration between academia and industry. Mayor Bloomberg and President Skorton signed the lease documents at a City Hall ceremony to finalize the official land transfer to Cornell Tech, where they were joined by President Lavie, Deputy Mayor for Economic Development Robert K. Steel, New York City Economic Development Corporation President Kyle Kimball, U.S. Representative Carolyn Maloney, Council Member and Borough President-Elect Gale Brewer, Council Member Jessica Lappin, Cornell Tech Vice President Cathy Dove, Cornell Board Chair Robert Harrison, Cornell Provost Kent Fuchs, Cornell Tech Dean Daniel Hutenlocher, Forest City Ratner Companies President and CEO MaryAnne Gilmartin, and Hudson Companies Principal David Kramer.
“Our goal has been to make New York City the global capital of technological innovation, and this new campus on Roosevelt Island is a central part of our strategy for achieving it,” said Mayor Michael R. Bloomberg. “It is one of the most ambitious and forward-looking economic development projects any city has ever undertaken, and it’s going to help add thousands of new jobs to our economy in the decades ahead.”
“The State was proud to work closely with the Mayor’s Office, RIOC and Cornell because we strongly believe that the path to New York State’s continued economic growth will largely be defined by partnerships that start with our State’s academic institutions,” said Governor Andrew M. Cuomo. “This project leverages two of the world’s most notable institutions in a way that will help foster technological innovation within New York State, while creating jobs and spurring business investment.”
“Cornell Tech is the proof that government and universities can work together to innovate and support economic growth, and we will be forever grateful for Mayor Bloomberg’s leadership in making this campus possible,” said Cornell University President David J. Skorton. “The Roosevelt Island campus is being built for the future, to be the place that generates the next big ideas, the new companies and extraordinary talent that will change New York and the world.”
“Thanks to Mayor Bloomberg’s vision, New York City is fast becoming a leading global center of innovation,” said Technion President Peretz Lavie. “Through the Joan & Irwin Jacobs Technion-Cornell Innovation Institute, our international partnership with Cornell Tech, we look forward to helping to further the city’s future as the technology capital of the world.”
Applied Sciences NYC was launched by Mayor Bloomberg in 2011 in an effort to capitalize on the considerable recent growth and even larger opportunity for future growth in technology-related jobs and businesses in New York City, and builds on the Bloomberg Administration’s record of creating a more diversified economy for the City’s future. In July 2011, NYCEDC issued an RFP seeking a university, institution or consortium to develop and operate a new or expanded campus in the City in exchange for City capital, access to City-owned land and the full support and partnership of the Bloomberg Administration, and subsequently received seven responses from 17 world-class institutions from around the globe. Cornell Tech was the first of four Applied Sciences projects to be announced by the City in an effort to strengthen New York City’s global competiveness – including its growing technology sector – and ensure that the City establishes itself as a worldwide hub of science, research, innovation and urban solutions for the digital age and the information economy. Cornell Tech was selected for this initiative based on its innovative model for graduate technology education and its emphasis on the intersections between academia and industry and forward-thinking areas of study. When completed, the new Roosevelt Island campus alone will nearly double the number of full-time, graduate engineering students enrolled in leading New York City Master’s and Ph.D. programs.
The four Applied Sciences NYC projects that have been announced by the Mayor include:
Cornell Tech on Roosevelt Island
The Center for Urban Science and Progress in Downtown Brooklyn, operated by an international consortium led by New York University
The Institute for Data Sciences and Engineering at Columbia University
Carnegie Mellon University’s Integrative Media Program at Steiner Studios in the Brooklyn Navy Yard.
Collectively, the four Applied Sciences NYC projects are expected to generate more than $33.2 billion in nominal economic activity, over 48,000 permanent and construction jobs, and approximately 1,000 spin-off companies by 2046, fulfilling the initiative’s goal of dramatically transforming the City’s economy for the 21st century. These institutions are already strengthening the City’s position as a hub of science, research, innovation and world-class urban solutions in a global economy driven by technological fluency and innovation.
“Mayor Bloomberg’s Applied Sciences initiative will transform the City’s economy, doubling the number of engineering faculty and graduate students in New York City. These are the skills we need to compete in the knowledge and information economy of the 21st Century,” said Deputy Mayor for Economic Development Robert K. Steel. “The closing of the Cornell Tech lease is a major step toward that goal and I congratulate Presidents Skorton and Lavie on this critical moment in the arc of Cornell and the Technion’s history.”
“Over only two years, thanks to an unprecedented model of collaboration across City and State government, top academic institutions, and the private sector, we have transformed Applied Sciences NYC from a visionary idea into a physical reality that is already reshaping our City,” said NYCEDC President Kyle Kimball. “Since selecting Cornell and the Technion as our first winners, in partnership with the Health and Hospitals Corporation we have built and opened a new hospital in Harlem that is currently serving former Coler-Goldwater patients; secured all necessary approvals for the Roosevelt Island campus; selected three additional Applied Sciences winners; and launched classes. Thanks to Mayor Bloomberg’s leadership, this initiative will create jobs, businesses, and technologies, resulting in transformative economic activity that will help secure the City’s future.”
“Cornell Tech is extremely grateful for the unwavering support of the Roosevelt Island community throughout the public review process and we are committed to being great neighbors during construction and beyond,” said Cornell Tech Vice President Cathy S. Dove. “We are also fortunate to have such extraordinary development partners in Forest City Ratner and Hudson/Related to help us make this vision a reality.”
“We are thrilled to be working with Cornell and so many great partners to help create a truly extraordinary new place on Roosevelt Island,” said Forest City Ratner Companies President and CEO MaryAnne Gilmartin. “Under Mayor Bloomberg’s watch the City’s tech sector has grown enormously and we are well poised as a company and as a project to continue with that growth at Cornell Tech.”
“With Mayor Bloomberg’s vision guiding the way, Cornell Tech will be at the leading edge of the next generation in tech and applied sciences,” said David Kramer, partner of The Hudson Companies. “We look forward to bringing out-of-the-box thinking to a best-in-class building on the forefront of design and sustainability.”
“I am pleased to join Mayor Bloomberg for this monumental step toward making the Cornell Tech campus a reality. I have strongly supported bringing Cornell Tech to Roosevelt Island from the very beginning of this process,” said U.S. Representative Carolyn Maloney. “The campus holds great promise for Roosevelt Island and for New York City, attracting future leaders in the technology and engineering industry. Many of the amenities included in the plans will be open and available to the public, including areas of park space. I commend Cornell for its transparency during the planning process and commitment to being a good neighbor to Island residents.”
“Cornell Tech will generate opportunities and innovations for generations to come, and today we take a step closer to our city’s future,” said Council Member Jessica Lappin.
“I applaud Mayor Bloomberg, Cornell Tech, and the Roosevelt Island Operating Corporation on their historic lease signing to build a new applied sciences campus on Roosevelt Island,” said Manhattan Borough President-Elect Gale A. Brewer. “This partnership will play a key role in the growth of New York City’s tech sector in the coming years, and will attract new development to Roosevelt Island. I look forward to working with all parties to ensure the success of this venture.”
Academic uses of the campus are anticipated to include classrooms, laboratories, teaming areas, and lecture halls, as well as start-up incubator/accelerator space to encourage entrepreneurship. The remainder of the space in the campus will be devoted to corporate co-location space designed to facilitate the interaction between academia and industry, residential uses, an executive education center, and ancillary uses, such as retail in support of the faculty, staff and students on the campus, as well as the creation of new open space.
While planning is underway for the opening of the permanent campus in 2017, Cornell Tech is already operating in temporary space in Manhattan. The campus master plan, designed by Skidmore, Owings and Merrill with James Corner Field Operations, includes a number of innovative features and facilities across a river-to-river campus with expansive views, a series of green, public spaces, and a seamless integration of indoor and outdoor areas. Cornell Tech will combine cutting edge technologies to create one of the most environmentally friendly and energy-efficient campuses in the world, not only employing, but developing new environmental technology.
A sustainable and innovative academic building will be designed by Pritzker Prize-winning architect Thom Mayne of Morphosis Architects and, in a significant departure from traditional academic facilities, take its cue from the tech world by offering open-plan space and extensive collaborative workspaces. The phase one academic building, if completed today, would be the largest net-zero energy building in eastern United States, with all of its power generated on campus.
A corporate co-location building, designed by Weiss/Manfredi and developed by Forest City Ratner Companies, will bring together corporate innovators, world-class researchers and energetic start-ups under one roof, a concrete reflection of the campus’ mission of fusing academia and industry to encourage innovation for the public good. Cornell Tech will be an anchor tenant. Renderings of this building and the academic building were released today, and are available at tech.cornell.edu/press/.
Ensuring that the campus is active 24/7, a residential building, designed by Handel Architects and developed by Hudson and Related Companies, will be built to provide convenient and affordable campus housing for students, faculty and staff. It will rely on passive sustainable design features to reduce energy usage and further advance the campus’ sustainability goals.
Plans are also under underway for an Executive Education Center and Hotel, which will help ensure that Cornell Tech is a magnet in New York City for innovation by providing conference, executive program and academic workshop space along with a hotel and destination restaurant.
The 12-acre footprint of the Cornell Tech campus includes the site of the former Goldwater Specialty Hospital and Nursing Facility, which has been replaced by the new state-of-the art, 365-bed, $300 million Henry J. Carter Specialty Hospital in Harlem, built by NYCEDC, which is operated by the NYC Health and Hospitals Corporation and provides world-class medical care for New Yorkers in need of highly specialized, complex treatment. Former Goldwater patients were relocated to the new hospital last month. The campus footprint also includes property formerly controlled by the Roosevelt Island Operating Corporation. Cornell Tech has spent the past year working with the Roosevelt Island community on plans to minimize the impact of construction on residents, including deployment of the largest barging program in New York City to remove demolition materials from the site.
Cornell Tech classes began earlier this year in space donated by Google in Chelsea. The school now includes masters and Ph.D. students, world-class faculty and established collaborations with dozens of industry-leading organizations contributing to graduate study in areas such as Computer Science, Electrical and Computer Engineering, Information Science, Operations Research and Business. Cornell Tech also launched its commitment to partnership with New York City’s public school students earlier this year, working with numerous organizations to bring tech education to a diverse audience. A director of K-12 education for Cornell Tech will be announced early in 2014.
Beginning in January, the Joan and Irwin Jacobs Technion-Cornell Innovation Institute at Cornell Tech will welcome a number of postdoctoral students to the current campus. Later in 2014, the Jacobs Institute will launch a master’s degree program in Connective Media designed to educate the entrepreneurial engineers and technologists needed in the media sector to steward the continuing digital transformation of the industry. Students in this two-year program will receive degrees from both Technion and Cornell. Also in 2014, Cornell Tech will launch a Johnson MBA that will combine business, technology, innovation and entrepreneurship in a fast-paced, hands-on learning environment.
Cornell Tech will host entrepreneurs-in-residence, organize business competitions, provide legal support for startups, reach out to existing companies to form research partnerships and sponsor research, and establish a pre-seed financing program to support promising research. In addition, the campus will structure its on-site tech transfer office to facilitate startup formation and technology licensing. Cornell Tech will also invest $150 million that will be solely devoted to start-up businesses in the City.
In keeping with the focus on community involvement contained in the RFP, the Cornell Tech proposal outlined a number of areas in which the universities will touch the lives of New Yorkers — the type of involvement to which both schools have been committed for many years in their primary campus communities. Plans for community involvement in New York City include the creation of education enhancement programs that will impact a minimum of 10,000 New York City students and 200 New York City teachers per year. Cornell Tech also intends to work closely with PS/IS 217 on Roosevelt Island to enrich their curricula and participate in STEM-oriented programming. They will also work to meet the goals of the City’s HireNYC employment program and develop partnerships for job placement and training. In furtherance of its community outreach goals, Cornell Tech will offer significant programming on and off its campus designed to engage with residents of Roosevelt Island and the larger City. Cornell’s campus plan will further create new public open space on the campus.
Technion-Cornell Innovation Institute: momentous gift of $133 million to create the Joan and Irwin Jacobs Technion-Cornell Innovation Institute (JTCII)
Reporter: Aviva Lev-Ari, PhD, RN
We are pleased to share some exciting news
Irwin and Joan Jacobs on the Technion campus
Technion Guardians Joan and Irwin Jacobs, of San Diego, have made a momentous gift of $133 million to name the Technion-Cornell Innovation Institute. Dr. Irwin Jacobs, Founding Chairman and CEO Emeritus of Qualcomm, and his wife Joan will create the Joan and Irwin Jacobs Technion-Cornell Innovation Institute (JTCII). The JTCII is a key component of Cornell Tech, whose permanent campus will eventually be located on Roosevelt Island. The funds will help support curriculum initiatives, faculty and graduate students, and industry interactions in a two-year graduate program.
The gift is being announced today by New York City Mayor Michael R. Bloomberg during a press conference at New York City Hall, together with Joan and Irwin Jacobs, Technion President Peretz Lavie and Cornell President David J. Skorton. You can view the press conference at: www.nyc.gov starting at 3:00 p.m. EDT.
The Jacobses are both Cornell alumni who have a long history of supporting both institutions. Their visionary support of the Technion includes the Irwin and Joan Jacobs Graduate School and the Irwin and Joan Jacobs Center for Communications and Information Technologies. A member of the Technion International Board of Governors, Dr. Jacobs is a Life Trustee of the American Technion Society National Board of Regents, and a member of the ATS San Diego Chapter. He received the ATS’ highest honor, The Albert Einstein Award, in 1996, and a Technion Honorary Doctorate in 2000.
The JTCII plans to offer a two-year interdisciplinary program where students concurrently earn dual master’s degrees — one from Cornell and one from the Technion. This degree program will allow students to specialize in applied information-based sciences in one of three hubs focused around leading New York City industries — Connective Media, Healthier Living and The Built Environment — while honing their entrepreneurial skills. The first area of specialization will be in Connective Media, and is slated to begin in the fall of 2014. Research will also be focused on the hub areas.
A novel program for Postdoctoral Innovation Fellows will launch in fall 2013. The aim is to support individuals who seek to commercialize their research ideas in the stimulating environment of the JTCII, while taking full advantage of the entrepreneurial network of Cornell Tech and the proximity to New York City-based markets. Dr. Jacobs, along with Mayor Michael R. Bloomberg and Google Executive Chairman Eric Schmidt, serves as an advisor to Cornell Tech, the overall campus that is part of Cornell University.
Technion: Israel’s Hard Drive — as published in NY TimesIn case you missed it, The New York Times published a wonderful article about the Technion, featured on the cover page of its Education Life section on April 14, 2013. The article credits the Technion for transforming the once quiet city of Haifa into a high-tech center.Click here to read the storyClick here to read a NY Times story on Cornell Tech
The Joan and Irwin Jacobs Technion–Cornell Innovation Institute (JTCII) is an academic partnership between two of the world’s most distinguished academic institutions, the Technion – Israel Institute of Technology and Cornell University.
The JTCII is a central component of the new Cornell Tech campus in New York City. It will offer unique graduate degree programs and foster applied research by faculty, students and fellows, in collaboration with industry partners.
JOAN AND IRWIN JACOBS
On April 22, Dr. Irwin Mark Jacobs, Founding Chairman and CEO Emeritus of Qualcomm, and his wife Joan Klein Jacobs, announced a $133 million gift to Cornell University and the Technion-Israel Institute of Technology to create the Joan and Irwin Jacobs Technion-Cornell Innovation Institute.
The Jacobses are both Cornell alumni who have a long history of supporting both Cornell and the Technion-Israel Institute of Technology. They have established the Irwin M. and Joan K. Jacobs Scholars and Fellows Programs and the Irwin and Joan Jacobs Professorship, both in the College of Engineering, as well as the Joan Klein Jacobs Cornell Tradition Fellowship in the College of Human Ecology at Cornell. Dr. Jacobs is a former member of the Cornell University Council and Mrs. Jacobs served on the President’s Council of Cornell Women. In recognition of their distinguished service to Cornell, Dr. and Mrs. Jacobs were both elected Presidential Councillors in 2005. The Jacobses’ visionary support of the Technion includes the Irwin and Joan Jacobs Graduate School and the Irwin and Joan Jacobs Center for Communications and Information Technologies. A member of the Technion International Board of Governors, Dr. Jacobs is a Life Trustee of the American Technion Society National Board of Regents, and a member of the ATS San Diego Chapter. Dr. Jacobs, along with Mayor Michael R. Bloomberg and Google Executive Chairman Eric Schmidt, is a member of Cornell Tech’s Steering Committee.
Dr. and Mrs. Jacobs are among the world’s most generous philanthropists. Their support has had a significant impact on numerous cultural, medical, educational, and civic organizations. The engineering school at the University of California, San Diego bears Dr. and Mrs. Jacobs’ names, as do the performing arts center of the campus’ La Jolla Playhouse and the new UCSD Medical Center.
PROGRAMS & RESEARCH
The JTCII fuses academic excellence with real-world applications through its unique two-year dual master’s degree program. The first class of students will begin in the Fall of 2014. Prospective JTCII faculty members will be accomplished scientists, engineers and technologists with proven entrepreneurial skills who can effectively engage with industry.
The JTCII departs from traditional academic departments and is organized in interdisciplinary hubs selected for their relevance to the New York City economy. The three hub areas are: Connective Media, which focuses on mobile and interactive media; Healthier Life, which will create solutions for better health care outcomes; and the Built Environment, which aims to increase the efficiency and sustainability of large-scale urban environments. In addition, a dynamic Industrial Affiliates program will provide a valuable source of local experts and seasoned entrepreneurial mentors.
In Fall 2013, the JTCII will launch a Postdoctoral Innovation Fellows program to encourage entrepreneurial efforts among highly qualified scientists. The program will provide fellows with rich ties to the emerging New York City tech ecosystem, access to industrial mentors and seasoned entrepreneurs, and connections to the local venture capital and legal communities.
Founding Director, Joan and Irwin Jacobs Technion-Cornell Innovation Institute
Daniel Huttenlocher
Dean and Vice Provost, Cornell Tech
David J. Skorton
President, Cornell University
Peretz Lavie
President, Technion – Israel Institute of Technology
Board of Directors
CHAIRKent FuchsProvost, Cornell University
Arnon BenturExecutive Vice President and Director General, Technion-Israel Institute of Technology
Lance CollinsDean of the College of Engineering, Cornell University
Joanne DeStefanoVice President for Finance and Chief Financial Officer, Cornell University
Moshe EizenbergProfessor (Emeritus) of Materials Engineering and Former Vice President for Research, Technion-Israel Institute of Technology
Paul FeiginSenior Executive Vice President, Technion-Israel Institute of Technology
Daniel HuttenlocherDean and Vice Provost, Cornell Tech
Adam ShwartzChair of the Department of Electrical Engineering, Technion-Israel Institute of Technology
WHY NYC?
In 2010, the City of New York launched its groundbreaking Applied Sciences NYC program, an unparalleled opportunity to build world-class applied sciences and engineering campuses.
With Applied Sciences NYC, the city’s Economic Development Corporation seeks to dramatically expand capacity in the applied sciences to maintain global competitiveness and create jobs. By creating campuses like Cornell Tech, innovative new ideas lead to spinoff companies right here in the city that will transform its economy. The next high growth company—a Google, Amazon, or Facebook—may emerge in NYC.
ABOUT THE PARTNERS
Cornell University
Cornell University, one of the world’s powerhouse universities, is both a private university and a land grant institution of New York State, with 21,400 students in Ithaca, New York, Weill Cornell Medical College in New York City and Qatar, United Arab Emirates. An Ivy League institution, Cornell awarded the nation’s first university doctorate degrees in electrical engineering and industrial engineering. There are forty Nobel Laureates with Cornell affiliations.
Technion – Israel Institute of Technology
Technion-Israel Institute of Technology is a major source of the innovation and brainpower that drives the Israeli economy, and the cornerstone of Israel’s renown as the world’s “Start-Up Nation.” Alongside this, its three Nobel Prize Laureates exemplify traditional academic excellence. Technion people, ideas and inventions make important contributions to the world, including life-saving medicine, sustainable energy, computer software, water conservation and nanotechnology.
FIND MORE INFORMATION
Download the press release here. Visit our press kit for images.