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Artificial Intelligence and Cardiovascular Disease
Reporter and Curator: Dr. Sudipta Saha, Ph.D.
3.3.18 Artificial Intelligence and Cardiovascular Disease, Volume 2 (Volume Two: Latest in Genomics Methodologies for Therapeutics: Gene Editing, NGS and BioInformatics, Simulations and the Genome Ontology), Part 2: CRISPR for Gene Editing and DNA Repair
Cardiology is a vast field that focuses on a large number of diseases specifically dealing with the heart, the circulatory system, and its functions. As such, similar symptomatologies and diagnostic features may be present in an individual, making it difficult for a doctor to easily isolate the actual heart-related problem. Consequently, the use of artificial intelligence aims to relieve doctors from this hurdle and extend better quality to patients. Results of screening tests such as echocardiograms, MRIs, or CT scans have long been proposed to be analyzed using more advanced techniques in the field of technology. As such, while artificial intelligence is not yet widely-used in clinical practice, it is seen as the future of healthcare.
The continuous development of the technological sector has enabled the industry to merge with medicine in order to create new integrated, reliable, and efficient methods of providing quality health care. One of the ongoing trends in cardiology at present is the proposed utilization of artificial intelligence (AI) in augmenting and extending the effectiveness of the cardiologist. This is because AI or machine-learning would allow for an accurate measure of patient functioning and diagnosis from the beginning up to the end of the therapeutic process. In particular, the use of artificial intelligence in cardiology aims to focus on research and development, clinical practice, and population health. Created to be an all-in-one mechanism in cardiac healthcare, AI technologies incorporate complex algorithms in determining relevant steps needed for a successful diagnosis and treatment. The role of artificial intelligence specifically extends to the identification of novel drug therapies, disease stratification or statistics, continuous remote monitoring and diagnostics, integration of multi-omic data, and extension of physician effectivity and efficiency.
Artificial intelligence – specifically a branch of it called machine learning – is being used in medicine to help with diagnosis. Computers might, for example, be better at interpreting heart scans. Computers can be ‘trained’ to make these predictions. This is done by feeding the computer information from hundreds or thousands of patients, plus instructions (an algorithm) on how to use that information. This information is heart scans, genetic and other test results, and how long each patient survived. These scans are in exquisite detail and the computer may be able to spot differences that are beyond human perception. It can also combine information from many different tests to give as accurate a picture as possible. The computer starts to work out which factors affected the patients’ outlook, so it can make predictions about other patients.
In current medical practice, doctors will use risk scores to make treatment decisions for their cardiac patients. These are based on a series of variables like weight, age and lifestyle. However, they do not always have the desired levels of accuracy. A particular example of the use of artificial examination in cardiology is the experimental study on heart disease patients, published in 2017. The researchers utilized cardiac MRI-based algorithms coupled with a 3D systolic cardiac motion pattern to accurately predict the health outcomes of patients with pulmonary hypertension. The experiment proved to be successful, with the technology being able to pick-up 30,000 points within the heart activity of 250 patients. With the success of the aforementioned study, as well as the promise of other researches on artificial intelligence, cardiology is seemingly moving towards a more technological practice.
One study was conducted in Finland where researchers enrolled 950 patients complaining of chest pain, who underwent the centre’s usual scanning protocol to check for coronary artery disease. Their outcomes were tracked for six years following their initial scans, over the course of which 24 of the patients had heart attacks and 49 died from all causes. The patients first underwent a coronary computed tomography angiography (CCTA) scan, which yielded 58 pieces of data on the presence of coronary plaque, vessel narrowing and calcification. Patients whose scans were suggestive of disease underwent a positron emission tomography (PET) scan which produced 17 variables on blood flow. Ten clinical variables were also obtained from medical records including sex, age, smoking status and diabetes. These 85 variables were then entered into an artificial intelligence (AI) programme called LogitBoost. The AI repeatedly analysed the imaging variables, and was able to learn how the imaging data interacted and identify the patterns which preceded death and heart attack with over 90% accuracy. The predictive performance using the ten clinical variables alone was modest, with an accuracy of 90%. When PET scan data was added, accuracy increased to 92.5%. The predictive performance increased significantly when CCTA scan data was added to clinical and PET data, with accuracy of 95.4%.
Another study findings showed that applying artificial intelligence (AI) to the electrocardiogram (ECG) enables early detection of left ventricular dysfunction and can identify individuals at increased risk for its development in the future. Asymptomatic left ventricular dysfunction (ALVD) is characterised by the presence of a weak heart pump with a risk of overt heart failure. It is present in three to six percent of the general population and is associated with reduced quality of life and longevity. However, it is treatable when found. Currently, there is no inexpensive, noninvasive, painless screening tool for ALVD available for diagnostic use. When tested on an independent set of 52,870 patients, the network model yielded values for the area under the curve, sensitivity, specificity, and accuracy of 0.93, 86.3 percent, 85.7 percent, and 85.7 percent, respectively. Furthermore, in patients without ventricular dysfunction, those with a positive AI screen were at four times the risk of developing future ventricular dysfunction compared with those with a negative screen.
In recent years, the analysis of big data database combined with computer deep learning has gradually played an important role in biomedical technology. For a large number of medical record data analysis, image analysis, single nucleotide polymorphism difference analysis, etc., all relevant research on the development and application of artificial intelligence can be observed extensively. For clinical indication, patients may receive a variety of cardiovascular routine examination and treatments, such as: cardiac ultrasound, multi-path ECG, cardiovascular and peripheral angiography, intravascular ultrasound and optical coherence tomography, electrical physiology, etc. By using artificial intelligence deep learning system, the investigators hope to not only improve the diagnostic rate and also gain more accurately predict the patient’s recovery, improve medical quality in the near future.
The primary issue about using artificial intelligence in cardiology, or in any field of medicine for that matter, is the ethical issues that it brings about. Physicians and healthcare professionals prior to their practice swear to the Hippocratic Oath—a promise to do their best for the welfare and betterment of their patients. Many physicians have argued that the use of artificial intelligence in medicine breaks the Hippocratic Oath since patients are technically left under the care of machines than of doctors. Furthermore, as machines may also malfunction, the safety of patients is also on the line at all times. As such, while medical practitioners see the promise of artificial technology, they are also heavily constricted about its use, safety, and appropriateness in medical practice.
Issues and challenges faced by technological innovations in cardiology are overpowered by current researches aiming to make artificial intelligence easily accessible and available for all. With that in mind, various projects are currently under study. For example, the use of wearable AI technology aims to develop a mechanism by which patients and doctors could easily access and monitor cardiac activity remotely. An ideal instrument for monitoring, wearable AI technology ensures real-time updates, monitoring, and evaluation. Another direction of cardiology in AI technology is the use of technology to record and validate empirical data to further analyze symptomatology, biomarkers, and treatment effectiveness. With AI technology, researchers in cardiology are aiming to simplify and expand the scope of knowledge on the field for better patient care and treatment outcomes.
Controlling focused-treatment of Prostate cancer with MRI
Writer and reporter: Dror Nir, PhD.
In recent years there is a growing trend of treating prostate cancer in a way that will preserve, at least partially, the functionality of this organ. When patients are presenting at biopsy a low-grade localized disease, they might be offered focused treatment of the cancer lesion. One of the option is treatment by high-intensity focused ultrasound (HIFU).
The offering of such treatments created the need of controlling their outcome while the prostate is still inside the patient’s body. The most commonly used protocol is following up the patient’s PSA levels and performing “control” biopsies. The biopsies part is at best case; extremely unpleasant. It also bears some risk for complications.
Therefore, urologists are constantly seeking an imaging based protocol that will enable them to assess the treatment outcome without the need for biopsy. The publication I bring below presents the possibility of using MRI for this task. Although it is not recent, it contains many images that makes the story very clear for the reader. The main weakness of the study is the small number of patients – only 15.
From the Department of Imaging, University College London Hospitals NHS Foundation Trust, England (A.P.S.K., C.A.); Institute of Urology (M.E., I.M.H., R.O.I.) and Department of Histopathology (A.A.F.), University College London, England.
Address correspondence to A.P.S.K., Imaging Department, University College Hospital, 235 Euston Road, London, England NW1 2BU (e-mail: alexkirkham@yahoo.com).
Radiology March 2008; 246 (3) – 833-844.
Abstract
Purpose: To prospectively evaluate magnetic resonance (MR) imaging findings after high-intensity focused ultrasound (HIFU) treatment of the prostate and to correlate them with clinical and histologic findings.
Materials and Methods: Local ethics committee approval and informed consent were obtained. Fifteen consecutive men aged 46–70 years with organ-confined prostate cancer underwent ultrasonographically guided ablation of the whole prostate. Postoperative MR images were obtained within 1 month (12 patients), at 1–3 months (five patients), and in all patients at 6 months. Prostate volume was measured on T2-weighted images, and enhancing tissue was measured on dynamic images after intravenous administration of gadopentetate dimeglumine. Prostate-specific antigen (PSA) level was measured at regular intervals, and transrectal biopsy was performed in each patient at 6 months after treatment.
Results: Initial post-HIFU images showed a central nonenhancing area, surrounded by an enhancing rim. At 6 months, the prostate was small (median volume reduction, 61%) and was of predominantly low signal intensity on T2-weighted images. The volume of prostate enhancing on the initial posttreatment image correlated well with serum PSA level nadir (Spearman r = 0.90, P < .001) and with volume at 6 months (Pearsonr = 0.80, P = .001). The three patients with the highest volume of enhancing prostate at the initial posttreatment acquisition had persistent cancer at 6-month biopsy.
Conclusion: MR imaging results of the prostate show a consistent sequence of changes after treatment with HIFU and can provide information to the operator about completeness of treatment.
There is currently little to offer men with localized prostate cancer between the two extremes of watchful waiting and radical treatment—most commonly prostatectomy or radiation therapy (1). Ablation of the gland has been proposed as an alternative that has the potential to completely treat the tumor while minimizing the sexual and urinary morbidity that still accompany established radical therapies (2). Several techniques have been used in the prostate—including microwave (3) and radiofrequency (4) ablation, cryotherapy (5), photodynamic therapy (6), and high-intensity focused ultrasound (HIFU) treatment (7).
HIFU is, in several respects, ideally suited to the prostate. In contrast to extracorporeal devices for the liver and kidney (8), with the transrectal approach, there is little movement of the target because of respiration or reflection by overlying bone. A focal distance of 3 or 4 cm allows the generation of coagulative necrosis in treatment voxels less than 0.2 mL and allows a treatment volume that conforms to the shape of the prostate (9)—a degree of precision that may be beyond that of other techniques. Even so, complete ablation is likely to affect periprostatic tissues, including the neurovascular bundles containing the cavernosal nerves (10) and the external urethral sphincter. Preservation of these structures—and the patient’s erectile and urinary function—must be balanced against full treatment of the gland.
Although impotence rates after HIFU treatment approach 50% (11), it is likely that in its current clinical implementation, the prostate is not being fully ablated: In published series, the recurrence rates for cancer range between 25% and 38% (7,11,12). To our knowledge, no groups have reported mean reductions in prostate volume of more than 50% (12,13), and several groups have found it difficult to treat the anterior gland (14).
If we are to improve outcomes, a fundamental requirement for HIFU treatment (and ablative technologies in general) is a method that provides anatomic information to the operator about areas that have been over- or undertreated. This might lead to modifications in future technique, and if obtained soon after treatment, might indicate the need for further ablation. Such a method might also help predict outcome earlier than established measures, such as prostate-specific antigen (PSA) measurement and biopsy.
Magnetic resonance (MR) imaging has great potential in this setting, and Rouviere et al (14) have described the appearance of the prostate on contrast material–enhanced MR images obtained up to 5 months after HIFU treatment. Rouviere et al found a good correlation between the theoretical treatment volume and the volume of nonenhancing prostate on a subsequent acquisition. The aim of our study was to prospectively evaluate MR imaging findings after HIFU treatment of the prostate and to correlate them with clinical and histologic findings.
MATERIALS AND METHODS
Misonix (the European distributors of the Sonablate device) funded the phase-II European study and provided equipment and reimbursed the hospital for costs. The company has funded two authors (I.M.H. and R.O.I.) through educational awards. One author (M.E.) has acted as a paid consultant to Misonix and also received honoraria for training and teaching. Authors other than I.M.H., R.O.I., and M.E. had control of the information and data submitted for publication. Misonix was not involved in the analysis of data or the writing of this article.
Patients
We included the first 15 men at University College Hospital (age range, 46–70 years; mean age, 59 years) who were taking part in a registered phase-II multicenter European study of HIFU therapy for organ-confined prostate cancer (Table 1). The study was approved by the local ethics committee, and full written consent was obtained from each patient. The patients understood that HIFU is an experimental treatment whose long-term outcome is unknown and were offered full conventional treatment as an alternative. The study was limited to men with a serum PSA level 15 μg/L or less, Gleason score less than 8, prostate volume less than 40 mL, life expectancy more than 5 years, and age less than 80 years. There was no limit to the number of biopsy cores that had a positive finding or the amount of cancer in each core removed. Patients with a history of previous prostate surgery were excluded, as were men who had undergone androgen deprivation therapy in the 6 months prior to recruitment or had intragland prostatic calcification more than 1 cm in diameter.
Table 1. Patients and Demographics
* Ratio of cores with a positive finding to cores obtained.
† Image not available for analysis; volume was calculated by using US measurements.
The Sonablate 500 (Focus Surgery, Indianapolis, Ind) consists of a power generator, water cooling system (the Sonachill), a treatment probe, and a positioning system. The probe contains two curved rectangular piezoceramic transducers with a driving frequency of 4 MHz and focal lengths of 30 and 40 mm. During treatment, these may be driven at low energy to provide real-time diagnostic imaging or at high energy for therapeutic ablation (in situ intensity, 1300–2200 W/cm2). The probe is covered with a condom, under which cold (17°–18°C) degassed water is circulated to help protect the rectum from thermal injury.
Patients were prepared before the procedure with two phosphate enemas to empty the rectum. Oral bowel preparation was used in some patients. Treatment was performed with general anesthesia in the lithotomy position and was performed or closely supervised in every case by an author (M.E., 2 years of experience in HIFU treatment). After gentle dilation of the anal sphincter, the treatment probe was introduced with a covering of ultrasonographic (US) gel to couple it to the rectal mucosa and was held in position with an articulated arm attached to the operating table. A 16-F Foley urethral catheter was inserted using sterile technique, and a 10-mL balloon was inflated to allow the bladder neck and median sagittal plane to be seen accurately. It was removed before treatment began.
Treatment was planned by using US-acquired volumes consisting of stacks of both sagittal and transverse sections (voxel size, 2 × 3 × 30 mm) and was applied in rows that extended in the craniocaudal axis, interleaved to avoid interference from adjacent, recently treated areas. After each 3-second period of ablation, diagnostic transverse and sagittal images in the plane of treatment were obtained to permit tailoring of the energy delivery in the next voxel according to visible changes on the gray-scale image. This is an important difference from the device used by Rouviere’s group (14), in which power is planned before the treatment begins. We aimed to set the power for each voxel at a level that produced hyperechoic change due to cavitation (as described by Illing et al [15]), and we invariably treated the whole anterior prostate. Neurovascular bundles were not identified at treatment (the Sonablate device does not yet have color Doppler capability); rather, we aimed to avoid treating outside the capsule where they lie posterolaterally (10). The time between the first ablation and the point at which treatment was considered complete was 3.0–4.4 hours (mean, 3.6 hours). A 16-F urethral catheter was placed immediately after the treatment and was left in place for 2 weeks.
MR Imaging
For most preoperative examinations and for all post-HIFU imaging, we used an MR machine (Symphony or Avanto; Siemens, Erlangen, Germany) with 1.5-T magnet and a pelvic-phased array coil. Except where stated, a full protocol of T1- and T2-weighted turbo spin-echo (Siemens) images and a dynamic fat-saturated postcontrast volume acquisition were used for both preoperative diagnostic and planning imaging and for postoperative assessment of HIFU treatment (Table 2). The contrast material used was 20 mL of gadopentetate dimeglumine (Magnevist; Schering, Berlin, Germany) given intravenously at 3 mL/sec.
Table 2. MR Sequences Used at Prostate Imaging
We aimed to image patients less than 1 month after treatment and did so in 12 patients. The remaining three patients were imaged between 1 and 3 months after treatment. Two patients were imaged in both time periods. Every patient underwent a 6-month MR examination.
Image Analysis
All volume measurements (except where stated) were acquired by using planimetry of contiguous 3-mm sections (16). T2-weighted images were used for measurement of prostatic volume both before and after treatment. The amount of intermediate- or high-signal-intensity material (ie, higher than muscle) remaining within the prostate was also measured on the 6-month posttreatment T2-weighted image.
The volume of nonenhancing prostate tissue at the post-HIFU acquisition was measured by using the final dynamic postcontrast image. On the initial posttreatment image, we also measured the volume of extraprostatic tissue that was both of low signal intensity on the T1-weighted image and nonenhancing. The distance between this tissue and the rectal mucosa was measured at its narrowest point. The mean thickness of the enhancing rim surrounding the treatment volume was measured on transverse postcontrast T1-weighted spin-echo images and was calculated by dividing the area of the rim by its circumference.
The volume of persistently enhancing prostate tissue on the initial image was calculated by subtracting the nonenhancing volume from the total volume of prostate on the T2-weighted image. This could be calculated in 13 patients; one patient did not receive contrast material at the post-HIFU MR acquisition, and the other was imaged more than 2 months after treatment.
All measurements were performed by a first-year radiology fellow (A.P.S.K.) without knowledge of PSA and histologic results. Two other observers independently measured the three key parameters that were used for correlation calculations for each patient: (a) the volume of nonenhancing prostate on the initial image, (b) the total volume of the prostate on the initial image, and (c) the final prostate volume at 6 months. One was a consultant uroradiologist with more than 10 years of experience in the interpretation of prostate MR images (C.A.); the other was a third-year urology research fellow with an interest in prostate imaging (R.O.I.). For each parameter, the mean of the three observers’ measurements was calculated and used for further analysis.
PSA Measurement and Prostate Biopsy
Serum PSA level was measured before and at 1.5, 3, and 6 months after HIFU treatment. The nadir was defined as the lowest of the three values.
Biopsies were performed by an author (A.P.S.K., with 4 years of experience in prostate biopsy) by using a transrectal approach with US guidance and an 18-gauge needle with a 2-cm throw soon after the 6-month MR examination. The number of cores obtained depended on the amount of residual prostate and varied between two and 10 (median, eight cores).
Erectile Function and Continence
The International Index of Erectile Function was used to assess erectile function both before and 3 months after HIFU treatment in each patient (17). The most important question was, “How often were your erections hard enough for penetration [with or without phosphodiesterase type 5 inhibitors]?” A score of 2 (a few times in 4 weeks) to 5 (always) was, for the purposes of this article, considered evidence of intact erectile function.
Men were asked to complete the International Continence Society–validated continence function questionnaire at baseline and at 3 and 6 months after therapy. The question deemed to be most informative was how often the patient required the use of pads or adult diapers. Responses could include “never,” “not more than one per day,” “1–2 per day,” or “more than 3 per day.”
Statistical Analysis
To assess the variance of results between observers, we used the intraclass correlation coefficient (18) applied to measurements obtained by three observers of the calculated volume of enhancing prostate on the initial post-HIFU image and the 6-month prostate volume.
The Spearman rank test was used to assess the correlation between enhancing prostate volume and serum PSA level nadir, and the Pearson test was used to examine the correlation between initial enhancing prostate volume and final prostate volume. Only the patients who were imaged less than 1 month after treatment were included in the analysis. These tests were performed by using software (GraphPad Prism for Mac, version 3; http://www.graphpad.com).
Because some of the covariance of volumes measured after treatment was likely to be due to their correlation with pretreatment prostate volume, we also applied a correction: The values were expressed as a proportion of the pretreatment volume, and a further correlation measurement was performed by using the Pearson test. In each case, a P value of less than .02 was considered to indicate a significant difference.
RESULTS
Up to 1 Month After Treatment
T2-weighted images.—Compared with that on the preoperative image, the prostate volume increased in every case (Table 1 and Table E1, Fig 1). The signal intensity from the prostate on T2-weighted images within the first month was always heterogeneous and variable. It was impossible to predict from the findings on T2-weighted images which areas of the prostate would enhance after intravenous contrast material administration. The periprostatic fat was also heterogeneous in signal intensity, which was consistent with edema (Fig 2).
Figure 1: Graph of change in prostate volume after HIFU treatment. Volume rises initially (less than 1 month after treatment) and is reduced in all cases at 6 months. Numbers = patient numbers.
Figure 2: MR images in patient 1 (a–d) and (e–h) patient 8 show low volume of enhancing prostate at initial imaging and small residual prostate at 6 months. Posttreatment serum PSA level was less than 0.05 μg/L in both cases.
Figure 2a:
Figure 2b:
Figure 2c:
Figure 2d:
Figure 2e:
Figure 2f:
Figure 2g:
Figure 2h:
T1-weighted images.—The prostate was of predominantly low signal intensity, although patchy areas of intermediate or high signal intensity, likely to represent hemorrhage, were a constant finding within the gland and in all but one of 28 seminal vesicles.
Postcontrast images.—In each patient, the postcontrast images showed a central area of nonenhancing tissue. This conformed to the treatment volume and was surrounded by an enhancing rim of mean thickness of 2–8 mm (median, 4 mm) that was continuous around the prostate in most patients (Fig 2; Table E1,).
The enhancing prostate varied in size and position. Part of the enhancing rim usually lay within the prostatic capsule and continued to the prostatic apex where there was almost always some enhancing tissue between the nonenhancing prostate and the external urethral sphincter. In many patients, more central areas of enhancement were seen: at the apex or base, either posteriorly or anteriorly (Table E1), and were almost always in continuity with the rim.
In every patient, the nonenhancing, low signal intensity within the prostate extended outside the gland and involved the periprostatic fat and the levator ani muscle, particularly anterolaterally (Table E1, Figs 2, 3). This varied considerably and tended to be most prominent in those who had no residual gland enhancement and had an undetectable serum PSA level after HIFU treatment (Table E1). In several patients, the nonenhancing area extended to involve the Denonvilliers fascia. (The distance between its margin and the rectal muscle is listed in Table E1.) In one patient, a proportion of the rectal wall enhanced avidly, but in no patient was there loss of rectal wall enhancement to suggest necrosis.
Figure 3: MR images obtained near the prostate apex show incomplete treatment and persisting high signal intensity in prostate. Serum PSA level nadir = 0.61 μg/L.
Figure 3a: Patient 4:
Figure 3b: Patient 4:
Figure 3c: Patient 4:
Figure 3d: Patient 4:
At 1–3 Months
In three patients, there was a “double rim” (Fig 4) on postcontrast images obtained at 36 and 56 days after HIFU treatment. The inner component lay within the prostate and the outer at the prostatic capsule; the intervening part was of low signal intensity on both T1- and T2-weighted images.
Figure 4: MR images of “double rim” at 56 days after HIFU treatment.
Figure 4a: Patient 3:
Figure 4b: Patient 3:
Figure 4c: Patient 3:
Six-month Appearance
T2-weighted images.—In every patient, the volume of the prostate was reduced by more than 45% (median, 61% reduction) (Table E1). On T2-weighted images, the majority of the persisting prostate was of low signal intensity, with poor definition to the capsule and with persisting heterogeneous signal intensity to the surrounding fat. However, in 12 of 15 patients, there was persisting high or intermediate signal intensity of the prostate—up to 5.34 mL in volume and most often seen posteriorly and at the apex (Table E1, Figs 3 and 5). In many patients (for example, those in Fig 2), low-signal-intensity prostate of reduced volume surrounded a capacious prostatic cavity continuous with the urethra, which is similar to the cavity seen after transurethral resection (19).
Figure 5: MR images of incomplete treatment of tumor and positive biopsy findings in three of 10 cores at 6 months (in right lateral midzone, right lateral base, and right parasagittal base samples). Serum PSA level nadir = 1.19 μg/L.
Figure 5a: Patient 13:
Figure 5b: Patient 13:
Figure 5c: Patient 13:
Figure 5d: Patient 13:
Figure 5e: Patient 13:
Postcontrast images.—Some small areas of nonenhancing tissue persisted in eight of 14 patients, but this was less than 1 mL in all but one (patient 13, in whom 4 mL of the gland volume of 18.7 mL was nonenhancing). The levator muscle showed a normal signal intensity.
Correlation Between Initial Imaging and Later Findings
In the 12 patients who underwent the initial acquisition within 1 month of HIFU treatment, the volume of enhancing tissue on the initial posttreatment image was positively correlated with the serum PSA level nadir (Fig 6) (Spearman r = 0.90, P < .001) and with the amount of residual tissue at 6 months (including all low-signal-intensity material that was likely to represent fibrosis or necrosis) (Fig 7) (Pearson r = 0.80, P = .001).
Figure 6: Graph of relationship between the proportion of the prostate still enhancing on initial image and serum PSA level nadir. There is a significant positive correlation (Spearman r = 0.90, P < .001). * = patient 13, who was included in graph but not in analysis (imaged 56 days after HIFU treatment). Patients 14 and 15 are not included because they did not undergo contrast-enhanced acquisition within 2 months of HIFU treatment. μgl−1 = μg/L.
Figure 7: Graph of relationship between the proportion of the prostate still enhancing on initial image and final volume of prostate. There is a significant positive correlation between the variables (Pearson r = 0.80, P = .001). * = patient 13, who was included in graph but not in analysis (imaged 56 days after HIFU treatment). Patients 14 and 15 are not included because they did not undergo contrast-enhanced acquisition within 2 months of HIFU treatment.
When posttreatment volumes are expressed as a proportion of pretreatment prostate volume, the correlation between enhancing tissue volume on the initial posttreatment image and the 6-month prostate volume persists (Pearson r = 0.70, P = .001).
Interobserver Correlation
The interobserver variation was excellent for the calculated volume of prostate enhancing on the initial post-HIFU image, with an intraclass correlation coefficient of 0.92, and was good for final prostate volume (intraclass correlation coefficient = 0.73).
Clinical Findings
In five patients (patients 1, 3, 8, 11, and 13), there was imaging evidence (at MR imaging or retrograde urethrography) of a stricture in the mid- or distal prostatic urethra, which was confirmed by using flow rate studies and treated by using self-catheterization or with graded urethral dilators. None have required formal urethrotomy. Patient 14 developed a bladder neck stricture, which was treated successfully by incision.
Before treatment, no men required pads or adult diapers for incontinence. At 6 months after the treatment, four men still required not more than one pad per day. In two cases, this was for reassurance rather than actual leakage.
In the 14 patients in whom there was intact erectile function (score 2–5 for the question, “How often were your erections hard enough for penetration?”) before HIFU treatment, it was intact in nine patients after the procedure. One patient had stopped trying to achieve erections, and four could not achieve penetration.
Histologic Findings
In the three patients in whom there was no high-signal-intensity peripheral zone at 6 months and with serum PSA level less than 0.05 μg/L, there was either no prostatic tissue or only a small group of acini in one core. The remaining patients had a variable amount of residual prostate at core biopsy.
Five patients had residual tumor. In three patients, it was seen in at least two cores (Table E1), and these three patients also had the largest volume of enhancing prostate on the initial post-HIFU MR image (Figs 6 and 7) and more than 2 mL of intermediate- or high-signal-intensity gland on T2-weighted images at 6 months.
In four of five patients with residual cancer, it could not be identified on either contrast-enhanced or T2-weighted images. In one patient (Fig 4), the early dynamic images showed prominent enhancement in the anterior gland, which was consistent with residual cancer found at the distal (ie, nonrectal) end of three right-sided biopsy cores. Such enhancement was not seen in patients with no cancer found at core biopsy.
DISCUSSION
We found a consistent sequence of changes at MR imaging after HIFU treatment of the whole prostate. The proportion of enhancing tissue on the initial posttreatment MR image was predictive of gland volume at 6 months and serum PSA level nadir. A strong statistical relationship between the latter and outcome has recently been demonstrated (20).
Most patients with residual cancer had evidence of incomplete ablation early (a large volume of enhancing prostate on the initial image) and late (a large volume of high-signal-intensity residual prostate on T2-weighted images at 6 months).
In some patients it was possible to achieve an undetectable serum PSA level at 6 months and entirely low signal intensity on T2-weighted images in the region of the prostate. These patients had either no or a small amount of viable prostate in one core at biopsy.
Conversely, in spite of reductions in prostate volume of more than 45% at 6 months, the majority of patients had histologic evidence of persisting viable prostate, and in a group of patients with organ-confined disease but no limit to the volume of cancer pretreatment, one-third had evidence of residual tumor.
Persisting enhancing prostatic tissue usually occurred at the periphery (or extended toward the center of the gland from it) and was particularly common at the apex and near the rectum.
Results of one previously published study (14) of post-HIFU appearances with MR imaging show a similar sequence of acute changes, although there was no attempt to quantify prostate volume at 6 months. There is also a large body of work on the MR imaging appearances with thermotherapy (whether laser [21,22] or radiofrequency [23]) and cryotherapy (24) within the prostate and other organs. The hyperenhancing rim of tissue is a constant finding in several tissues, including the liver (25), the kidney (26), and the brain (27). In the liver and the kidney, it is thin (1 mm or less) and, in most cases, has disappeared by 2 months after ablation (28). Within the prostate, the hyperenhancing rim has been shown to occur after laser ablation of benign prostatic hyperplasia (21,22) and after HIFU treatment (14).
Histologic evidence in animal models—including rabbit and porcine liver (29)—suggests that the enhancing rim corresponds to an area of inflammation and then fibrosis, with a variable amount of residual, viable tissue. How much of the rim will be viable after ablation of the prostate in humans remains uncertain. On the one hand, after HIFU treatment, core biopsy results show “partial or complete necrosis” in the rim (14). On the other, after laser ablation of benign prostatic hyperplasia, the volume of coagulative necrosis at histologic examination correlates very well with the central nonenhancing region at MR imaging, not including the rim (22). The answer is likely to be that a variable amount of the rim contains viable tissue (depending on the organ being imaged [30], the nature of the treatment, and the interval before the acquisition), and the implication is that the only reliably necrotic area at MR imaging is that which does not enhance. We have avoided the term necrosis for the nonenhancing areas of prostate seen in our current study, but from these data it is likely that the areas of prostate without enhancement are truly necrotic.
The distribution of enhancing prostate on posttreatment MR images fits with histologic evidence that “ventral, lateral and dorsal sides of the prostate” have residual viable prostatic tissue at histologic examination after HIFU treatment (31). What all of these areas have in common is proximity to the more richly vascular prostatic capsule. Is it possible that increased vascularity here results in reduced efficacy? This is another area that has been addressed by Rouviere’s group (32), who did not find a correlation between successful ablation and prostate vascularity by using power Doppler US; they conclude, as others have (33,34), that short (3-second) high-intensity bursts of focused ultrasound are unlikely to be markedly affected by blood flow. An alternate explanation is a geometric one: Centrally lying voxels are easier to treat because they may be rendered necrotic either by direct treatment or by damage to supplying vessels in the periphery.
An implication of these results is that the best strategies for minimizing complications while ensuring destruction of the cancer are likely to involve a degree of targeting: If the tumor can be imaged with MR imaging, the patient might be treated with higher power and wider margins (including periprostatic fat, muscle, or even neurovascular bundles) at the site of the cancer and with a standard intensity to the rest of the gland. An analogous approach is the wide excision, including a unilateral neurovascular bundle, of bulky tumors at radical prostatectomy (35). Such an approach may well have benefited our patients 7 and 13.
One methodologic issue that is currently unresolved relates to the timing of MR imaging. A detailed within-patient study of MR imaging changes after HIFU treatment is needed to properly describe the longitudinal changes in the appearance of the prostate. Rouviere et al (14) found that the area of nonenhancing tissue decreases by 50% at 1 month compared with that at an immediate (<1 week) post-HIFU acquisition, which suggests that for an accurate assessment of necrosis volume, the prostate should be imaged as soon as possible after treatment. Of course, perfusion would ideally be assessed during HIFU treatment so that undertreated areas could be further ablated. There is some evidence that Doppler or contrast-enhanced US (36) could play this role, but, to our knowledge, there are no studies on the correlation of immediate findings with later clinical data, such as serum PSA level or histologic examination.
We used fast low-angle shot sequences to assess enhancement because we found that the subjective assessment (together with objective measurements of signal intensity) of the dynamic series helped us identify truly nonenhancing tissue. However, the T1-weighted spin-echo postcontrast sequence would have been adequate, and we consider, as others do (22), dynamic contrast-enhanced sequences not to be an essential part of the protocol for postablation assessment. What is certain is that unenhanced T2-weighted sequences are inadequate for assessing necrosis (14,22).
Our results differ from those of other published series of HIFU treatment in the marked reduction in gland volume and absence of zonal anatomy in many patients observed at 6 months. In contrast to the study of post-HIFU MR imaging by Rouviere et al (14) who used a different device, we did not find that “HIFU-induced abnormalities seem to disappear within 3–5 months.” Rather, in several patients, it was difficult to discern any residual prostate at all at both MR and US studies. The difference probably lies in the power used for treatment and the completeness of gland coverage. The stricture rate of six of 15 is high when compared with that in published series (7,37,38) and may be related to the power used, the degree of fibrosis occurring in the prostate, and the strategy for catheterization. The latter is considered likely to be important, and we have recently changed to using a suprapubic catheter (rather than urethral) after treatment. The rate of impotence after treatment is similar to that in published series (11), as is grade I incontinence.
Our work has implications for the conduct of HIFU. The finding that the volume of enhancing prostate on the initial posttreatment image correlates well with intermediate measures, such as serum PSA level nadir and biopsy evidence of residual cancer, suggests that MR imaging can provide the operator with feedback on the effectiveness of the intervention. This information might enable modification of the technique to treat areas that have been incompletely ablated in previous patients—in our series, those areas encompassed the apex and posterior gland and rarely anterior tissue (in contrast to other study results [14]). Conversely, we might have reduced power or treatment volume at the anterolateral aspect of the gland adjacent to the levator muscle. Such feedback has been cited as a desirable attribute for ablation technology (39) and up to now has been missing.
Our study had several limitations. Although it is likely that nonenhancing areas at MR imaging represent necrosis, we do not have direct histologic evidence. Sampling error and misregistration limit the utility of core biopsies in this context. We have shown that the MR imaging appearances soon after HIFU treatment correlate with findings at 6 months, but this is not the same as outcome. A considerably longer follow-up and a larger number of patients will be necessary to determine both the ultimate efficacy of HIFU treatment and the ability of MR imaging to help predict outcome. Last, while our findings suggest that MR imaging soon after treatment may be useful to assess areas of under- and overtreatment, this is not real-time feedback and does not allow modification of the treatment as it progresses.
In summary, MR imaging results in the first 6 months after HIFU treatment show a consistent sequence of changes, and appearances in the 1st month correlate with serum PSA level nadir and imaging findings at 6 months. Such imaging results hold promise for providing feedback to the operator about the effectiveness of treatment.
ADVANCES IN KNOWLEDGE
Treatment of prostate cancer by using ablation with high-intensity focused ultrasound (HIFU) results in a consistent series of changes within the gland during 6 months seen at contrast-enhanced MR imaging.
Within 1 month after treatment, a central nonenhancing area is surrounded by an enhancing rim of tissue lying variably within and outside the prostate.
At 6 months, the gland is markedly smaller and of partly or completely low signal intensity on T2-weighted images.
The amount of enhancing prostate on the initial image correlates with several findings at 6 months, including serum prostate-specific antigen level nadir and prostate volume.
IMPLICATION FOR PATIENT CARE
MR imaging after HIFU treatment may provide information about completeness of tumor ablation and the need for early retreatment or close monitoring in cases of incomplete coverage.
Footnotes
Trial registration: This trial started recruiting before the trial registration requirements of the International Committee of Medical Journal Editors were formalized.
See Materials and Methods for pertinent disclosures.
Author contributions: Guarantors of integrity of entire study, A.P.S.K., I.M.H., C.A.; study concepts/study design or data acquisition or data analysis/interpretation, all authors; manuscript drafting or manuscript revision for important intellectual content, all authors; manuscript final version approval, all authors; literature research, A.P.S.K., M.E., I.M.H., R.O.I., C.A.; clinical studies, A.P.S.K., R.O.I., C.A.; statistical analysis, A.P.S.K.; and manuscript editing, all authors
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The unfortunate ending of the Tower of Babel construction project and its effect on modern imaging-based cancer patients’ management
Curator: Dror Nir, PhD
The story of the city of Babel is recorded in the book of Genesis 11 1-9. At that time, everyone on earth spoke the same language.
Picture: Pieter Bruegel the Elder: The Tower of Babel_(Vienna)
It is probably safe to assume that medical practitioners at that time were reporting the status of their patients in a standard manner. Although not mentioned, one might imagine that, at that time, ultrasound or MRI scans were also reported in a standard and transferrable manner. The people of Babel noticed the potential in uniform communication and tried to build a tower so high that it would reach the gods. Unfortunately, God did not like that, so he went down (in person) and confounded people’s speech, so that they could not understand each another. Genesis 11:7–8.
This must be the explanation for our inability to come to a consensus on reporting of patients’ imaging-outcome. Progress in development of efficient imaging protocols and in clinical management of patients is withheld due to high variability and subjectivity of clinicians’ approach to this issue.
Clearly, a justification could be found for not reaching a consensus on imaging protocols: since the way imaging is performed affects the outcome, (i.e. the image and its interpretation) it takes a long process of trial-and-error to come up with the best protocol. But, one might wonder, wouldn’t the search for the ultimate protocol converge faster if all practitioners around the world, who are conducting hundreds of clinical studies related to imaging-based management of cancer patients, report their results in a standardized and comparable manner?
Is there a reason for not reaching a consensus on imaging reporting? And I’m not referring only to intra-modality consensus, e.g. standardizing all MRI reports. I’m referring also to inter-modality consensus to enable comparison and matching of reports generated from scans of the same organ by different modalities, e.g. MRI, CT and ultrasound.
As developer of new imaging-based technologies, my personal contribution to promoting standardized and objective reporting was the implementation of preset reporting as part of the prostate-HistoScanning product design. For use-cases, as demonstrated below, in which prostate cancer patients were also scanned by MRI a dedicated reporting scheme enabled matching of the HistoScanning scan results with the prostate’s MRI results.
The MRI reporting scheme used as a reference is one of the schemes offered in a report by Miss Louise Dickinson on the following European consensus meeting : Magnetic Resonance Imaging for the Detection, Localisation, and Characterisation of Prostate Cancer: Recommendations from a European Consensus Meeting,Louise Dickinson a,b,c,*, Hashim U. Ahmed a,b, Clare Allen d, Jelle O. Barentsz e, Brendan Careyf, Jurgen J. Futterer e, Stijn W. Heijmink e, Peter J. Hoskin g, Alex Kirkham d, Anwar R. Padhani h, Raj Persad i, Philippe Puech j, Shonit Punwani d, Aslam S. Sohaib k, Bertrand Tomball,Arnauld Villers m, Jan van der Meulen c,n, Mark Emberton a,b,c,
Image of MRI reporting scheme taken from the report by Miss Louise Dickinson
The corresponding HistoScanning report is following the same prostate segmentation and the same analysis plans:
Preset reporting enabling matching of HistoScanning and MRI reporting of the same case.
It is my wish that already in the near-future, the main radiology societies (RSNA, ESR, etc..) will join together to build the clinical Imaging’s “Tower of Babel” to effectively address the issue of standardizing reporting of imaging procedures. This time it will not be destroyed…:-)
Knowing the tumor’s size and location, could we target treatment to THE ROI by applying imaging-guided intervention?
Author: Dror Nir, PhD
Article 9.6.Knowing the tumor’s size and location, could we target treatment to THE ROI by applying imaging-guided intervention?
Advances in techniques for cancer lesions’ detection and localisation [1-6] opened the road to methods of localised (“focused”) cancer treatment [7-10]. An obvious challenge on the road is reassuring that the imaging-guided treatment device indeed treats the region of interest and preferably, only it.
A step in that direction was taken by a group of investigators from Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada who evaluate the feasibility and safety of magnetic resonance (MR) imaging–controlled transurethral ultrasound therapy for prostate cancer in humans [7]. Their study’s objective was to prove that using real-time MRI guidance of HIFU treatment is possible and it guarantees that the location of ablated tissue indeed corresponds to the locations planned for treatment. Eight eligible patients were recruited.
The setup
Treatment protocol
The result
“There was excellent agreement between the zone targeted for treatment and the zone of thermal injury, with a targeting accuracy of ±2.6 mm. In addition, the temporal evolution of heating was very consistent across all patients, in part because of the ability of the system to adapt to changes in perfusion or absorption properties according to the temperature measurements along the target boundary.”
Technological problems to be resolved in the future:
“Future device designs could incorporate urinary drainage during the procedure, given the accumulation of urine in the bladder during treatment.”
“Sufficient temperature resolution could be achieved only by using 10-mm-thick sections. Our numeric studies suggest that 5-mm-thick sections are necessary for optimal three-dimensional conformal heating and are achievable by using endorectal imaging coils or by performing the treatment with a 3.0-T platform.”
Major limitation: “One of the limitations of the study was the inability to evaluate the efficacy of this treatment; however, because this represents, to our knowledge, the first use of this technology in human prostate, feasibility and safety were emphasized. In addition, the ability to target the entire prostate gland was not assessed, again for safety considerations. We have not attempted to evaluate the effectiveness of this treatment for eradicating cancer or achieving durable biochemical non-evidence of disease status.”
References
SIMMONS (L.A.M.), AUTIER (P.), ZATURA (F.), BRAECKMAN (J.G.), PELTIER (A.), ROMICS (I.), STENZL (A.), TREURNICHT (K.), WALKER (T.), NIR (D.), MOORE (C.M.), EMBERTON (M.). Detection, localisation and characterisation of prostate cancer by Prostate HistoScanning.. British Journal of Urology International (BJUI). Issue 1 (July). Vol. 110, Page(s): 28-35
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Introducing smart-imaging into radiologists’ daily practice.
Author and Curator: Dror Nir, PhD
Article 11.3.1 Introducing smart imaging into radiologists daily practice
Radiology congresses are all about imaging in medicine. Interestingly, radiology originates from radiation. It was the discovery of X-ray radiation at the beginning of the 20th century that opened the road to “seeing” the inside of the human body without harming it (at that time that meant cutting into the body).
Radiology meetings are about sharing experience and knowhow on imaging-based management patients. The main topic is always image-interpretation: the bottom line of clinical radiology! This year’s European Congress of Radiology (ECR) dedicated few of its sessions to recent developments in image-interpretation tools. I chose to discuss the one that I consider contributing the most to the future of cancer patients’ management.
In the refresher course dedicated to computer application the discussion was aimed at understanding the question “How do image processing and CAD impact radiological daily practice?” Experts’ reviews gave the audience some background information on the following subjects:
A. The link between image reconstruction and image analysis.
B. Semantic web technologies for sharing and reusing imaging-related information
C. Image processing and CAD: workflow in clinical practice.
I find item A to be a fundamental education item. Not once did I hear a radiologist saying: “I know this is the lesion because it’s different on the image”. Being aware of the computational concepts behind image rendering, even if it is at a very high level and lacking deep understanding of the computational processes, will contribute to more balanced interpretations.
Item B is addressing the dream of investigators worldwide. Imagine that we could perform a web search and find educating, curated materials linking visuals and related clinical information, including standardized pathology reporting. We would only need to remember that search engines used certain search methods and agree, worldwide, on the method and language to be used when describing things. Having such tools is a pre-requisite to successful pharmaceutical and bio-tech development.
I find item C strongly linked to A, as all methods for better image interpretation must fit into a workflow. This is a design goal that is not trivial to achieve. To understand what I mean by that, try to think about how you could integrate the following examples in your daily workflow: i.e. what kind of expertise is needed for execution, how much time it will take, do you have the infrastructure?
In the rest of this post, I would like to highlight, through examples that were discussed during ECR 2012, the aspect of improving cancer patients’ clinical assessment by using information fusion to support better image interpretation.
Adding up quantitative information from MR spectroscopy (quantifies biochemical property of a target lesion) and Dynamic Contrast Enhanced MR imaging (highlights lesion vasculature).
Image provided by: Dr. Pascal Baltzer, director of mammography at the centre for radiology at Friedrich Schiller University in Jena, Germany
Registration of images generated by different imaging modalities (Multi-modal imaging registration).
The following examples: Fig 2 demonstrates registration of a mammography image of a breast lesion to an MRI image of this lesion. Fig3 demonstrates registration of an ultrasound image of a breast lesion scanned by an Automatic Breast Ultrasound (ABUS) system and an MRI image of the same lesion.
Images provided by members of the HAMAM project (an EU, FP7 funded research project: Highly Accurate Breast Cancer Diagnosis through Integration of Biological Knowledge, Novel Imaging Modalities, and Modelling): http://www.hamam-project.org
Multi-modality image registration is usually based on the alignment of image-features apparent in the scanned regions. For ABUS-MRI matching these were: the location of the nipple and the breast thickness; the posterior of the nipple in both modalities; the medial-lateral distance of the nipple to the breast edge on ultrasound; and an approximation of the ribcage using a cylinder on the MRI. A mean accuracy of 14mm was achieved.
Also from the HAMAM project, registration of ABUS image to a mammography image:
registration of ABUS image to a mammography image, Image provided by members of the HAMAM project (an EU, FP7 funded research project: Highly Accurate Breast Cancer Diagnosis through Integration of Biological Knowledge, Novel Imaging Modalities, and Modelling): http://www.hamam-project.org
Automatic segmentation of suspicious regions of interest seen in breast MRI images
Segmentation of suspicious the lesions on the image is the preliminary step in tumor evaluation; e.g. finding its size and location. Since lesions have different signal/image characteristics to the rest of the breast tissue, it gives hope for the development of computerized segmentation techniques. If successful, such techniques bear the promise of enhancing standardization in the reporting of lesions size and location: Very important information for the success of the treatment step.
Roberta Fusco of the National Cancer Institute of Naples Pascal Foundation, Naples/IT suggested the following automatic method for suspicious ROI selection within the breast using dynamic-derived information from DCE-MRI data.
Automatic segmentation of suspicious ROI in breast MRI images, image provided by Roberta Fusco of the National Cancer Institute of Naples Pascal Foundation, Naples/IT
Her algorithm includes three steps (Figure 2): (i) breast mask extraction by means of automatic intensity threshold estimation (Otsu Thresh-holding) on the parametric map obtained through the sum of intensity differences (SOD) calculated pixel by pixel; (ii) hole-filling and leakage repair by means of morphological operators: closing is required to fill the holes on the boundaries of breast mask, filling is required to fill the holes within the breasts, erosion is required to reduce the dilation obtained by the closing operation; (iii) suspicious ROIs extraction: a pixel is assigned to a suspicious ROI if it satisfies two conditions: the maximum of its normalized time-intensity curve should be greater than 0.3 and the maximum signal intensity should be reached before the end of the scan time. The first condition assures that the pixels within the ROI have a significant contrast agent uptake (thus excluding type I and type II curves) and the second condition is required for the time-intensity pattern to be of type IV or V (thus excluding type III curves).