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Recent comprehensive review on the role of ultrasound in breast cancer management

Writer, reporter and curator: Dror Nir, PhD

Breast Cancer Imaging

Word Cloud Created by Noam Steiner Tomer 8/10/2020

The paper below by R Hooley is a beautifully written review on how ultrasound could (and should) be practiced to better support breast cancer screening, staging, and treatment. The authors went as well into the effort of describing the benefits from combining ultrasonography with the other frequently used imaging modalities; i.e. mammography, tomosynthesis and MRI. Post treatment use of ultrasound is not discussed although this is a major task for this modality.

I would like to recommend giving attention to two very small (but for me very important) paragraphs: “Speed of Sound Imaging” and “Lesion Annotation”

Enjoy…

Breast Ultrasonography: State of the Art

Regina J. Hooley, MDLeslie M. Scoutt, MD and Liane E. Philpotts, MD

Department of Diagnostic Radiology, Yale University School of Medicine, 333 Cedar St, PO Box 208042, New Haven, CT 06520-8042.

Address correspondence to R.J.H. (e-mail: regina.hooley@yale.edu).

Ultrasonography (US) has become an indispensable tool in breast imaging. Breast US was first introduced in the 1950s by using radar techniques adapted from the U.S. Navy (1). Over the next several decades, US in breast imaging was primarily used to distinguish cystic from solid masses. This was clinically important, as a simple breast cyst is a benign finding that does not require further work-up. However, most solid breast lesions remained indeterminate and required biopsy, as US was not adequately specific in differentiating benign from malignant solid breast masses. However, recent advances in US technology have allowed improved characterization of solid masses.

In 1995, Stavros et al (2) published a landmark study demonstrating that solid breast lesions could be confidently characterized as benign or malignant by using high-resolution grays-cale US imaging. Benign US features include few (two or three) gentle lobulations, ellipsoid shape, and a thin capsule, as well as a homogeneously echogenic echotexture. Malignant US features include spiculation, taller-than-wide orientation, angular margins, microcalcifications, and posterior acoustic shadowing. With these sonographic features, a negative predictive value of 99.5% and a sensitivity of 98.4% for the diagnosis of malignancy were achieved. These results have subsequently been validated by others (3,4) and remain the cornerstone of US characterization of breast lesions today. These features are essential in the comprehensive US assessment of breast lesions, described by the Breast Imaging and Reporting Data System (BI-RADS) (5).

US is both an adjunct and a complement to mammography. Advances in US technology include harmonic imaging, compound imaging, power Doppler, faster frame rates, higher resolution transducers, and, more recently, elastography and three-dimensional (3D) US. Currently accepted clinical indications include evaluation of palpable abnormalities and characterization of masses detected at mammography and magnetic resonance (MR) imaging. US may also be used as an adjuvant breast cancer screening modality in women with dense breast tissue and a negative mammogram. These applications of breast US have broadened the spectrum of sonographic features currently assessed, even allowing detection of noninvasive disease, a huge advance beyond the early simplistic cyst-versus-solid assessment. In addition, US is currently the primary imaging modality recommended to guide interventional breast procedures.

The most subtle US features of breast cancers are likely to be best detected by physicians who routinely synthesize findings from multiple imaging modalities and clinical information, as well as perform targeted US to correlate with lesions detected at mammography or MR imaging. Having a strong understanding of the technical applications of US and image optimization, in addition to strong interpretive and interventional US skills, is essential for today’s breast imager.

 

Optimal Imaging Technique

US is operator dependent, and meticulous attention to scanning technique as well as knowledge of the various technical options available are imperative for an optimized and accurate breast US examination. US is an interactive, dynamic modality. Although breast US scanning may be performed by a sonographer or mammography technologist, the radiologist also benefits greatly from hands-on scanning (Fig 1). Berg et al (6) demonstrated that US interpretive performance was improved if the radiologist had direct experience performing breast US scanning, including rescanning after the technologist. Real-time scanning also provides the opportunity for thorough evaluation of lesions and permits detailed lesion analysis compared with analyzing static images on a workstation. Subtle irregular or indistinct margins, artifacts, and architectural distortions may be difficult to capture on static images. Real-time scanning also allows the operator to assess lesion mobility, location, and relationship to adjacent structures and allows direct assessment of palpable lesions and other clinical findings. Moreover, careful review of any prior imaging studies is imperative to ensure accurate lesion correlation.

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The US examination is generally well tolerated by the patient. Gentle but firm transducer pressure and optimal patient positioning are essential, with the patient’s arm relaxed and flexed behind the head. Medial lesions should generally be scanned in the supine position, and lateral lesions, including the axilla, should usually be scanned with the patient in the contralateral oblique position. This allows for elimination of potential artifact secondary to inadequate compression of breast tissue.

 

Gray-Scale Imaging

Typical US transducers used in breast imaging today have between 192 and 256 elements along the long axis. When scanning the breast, a linear 12–5-MHz transducer is commonly used. However, in small-breasted women (with breast thickness < 3 cm) or when performing targeted US to evaluate a superficial lesion, a linear 17–5-MHz transducer may be used. Such high-frequency transducers provide superb spatial and soft-tissue resolution, permitting substantially improved differentiation of subtle shades of gray, margin resolution, and lesion conspicuity in the background of normal breast tissue (Fig 2). However, the cost of such a high insonating frequency is decreased penetration due to attenuation of the ultrasound beam, making visualization of deep posterior tissue difficult (ie, greater than 3 cm in depth by using a linear 17–5-MHz transducer or greater than 5 cm in depth by using a linear 12–5-MHz transducer).

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During the initial US survey of the region of interest in the breast, the depth should be set so that the pectoralis muscle is visualized along the posterior margin of the field of view. Initial gain settings should be adjusted so that fat at all levels is displayed as a midlevel gray. Simple cysts are anechoic. Compared with breast fat, most solid masses are hypoechoic, while the skin, Cooper ligaments, and fibrous tissue are echogenic. Time gain compensation, which adjusts image brightness at different depths from the skin to compensate for attenuation of the ultrasound beam as it penetrates into the breast tissue, may be set manually or, with appropriate equipment, may be adjusted automatically during real-time scanning or even during postprocessing of the image.

When searching for a lesion initially identified at mammography or MR imaging, careful correlation with lesion depth and surrounding anatomic structures is imperative. Lesion location may be affected by the patient’s position, which differs during mammography, US, and MR imaging examinations. Attention to surrounding background tissue may assist in accurate lesion correlation across multiple modalities. If a mass identified at mammography or MR imaging is surrounded entirely by fat or fibroglandular tissue, at US it should also be surrounded by hypoechoic fat or echogenic fibroglandular tissue, respectively. Similarly, careful attention to the region of clinical concern is necessary when scanning a palpable abnormality to ensure that the correct area is scanned. The examiner should place a finger on the palpable abnormality and then place the transducer directly over the region. Occasionally, the US examination may be performed in the sitting position if a breast mass can only be palpated when the patient is upright.

After a lesion is identified, or while searching for a subtle finding, the depth or field of view may be adjusted as needed. The depth should be decreased to better visualize more superficial structures or increased to better visualize deeper posterior lesions. The use of multiple focal zones also improves resolution at multiple depths simultaneously and should be used, if available. Although this reduces the frame rate, the reduction is typically negligible when scanning relatively superficial structures within the breast. If a single focal zone is selected to better evaluate a single lesion, the focal zone should be centered at the same level as the area of interest or minimally posterior to the area of interest, for optimal visualization.

 

Spatial Compounding, Speckle Reduction, and Harmonic Imaging

Spatial compound imaging and speckle reduction are available on most high-end US units and should be routinely utilized throughout the breast US examination. Unlike standard US imaging, in which ultrasound pulses are transmitted in a single direction perpendicular to the long axis of the transducer, spatial compounding utilizes electronic beam steering to acquire multiple images obtained from different angles within the plane of imaging (79). A single composite image is then obtained in real-time by averaging frames obtained by ultrasound beams acquired from these multiple angles (10). Artifactual echoes, including speckle and other spurious noise, as well as posterior acoustic patterns, including posterior enhancement (characteristic of simple cysts) and posterior acoustic shadowing (characteristic of some solid masses), are substantially reduced. However, returning echoes from real structures are enhanced, providing improved contrast resolution (9) so that ligaments, edge definition, and lesion margins, including spiculations, echogenic halos, posterior and lateral borders, as well as microcalcifications, are better defined. Speckle reduction is a real-time postprocessing technique that also enhances contrast resolution, improves border definition, is complementary to spatial compounding, and can be used simultaneously.

When a lesion is identified, harmonic imaging may also be applied—usually along with spatial compounding—to better characterize a cyst or a subtle solid mass. The simultaneous use of spatial compounding and harmonic imaging may decrease the frame rate, although this usually does not impair real-time evaluation. Harmonic imaging relies on filtering the multiple higher harmonic frequencies, which are multiples of the fundamental frequencies. All tissue is essentially nonlinear to sound propagation and the ultrasound pulse is distorted as it travels through breast tissue, creating harmonic frequencies (9). The returning ultrasound signal therefore contains both the original fundamental frequency and its multiples, or harmonics. Harmonic imaging allows the higher harmonic frequencies to be selected and used to create the gray-scale images (89). Lower-frequency superficial reverberation echoes are thereby reduced, allowing improved characterization of simple cysts (particularly if small) through the elimination of artifactual internal echoes often seen in fluid. Harmonic imaging also improves lateral resolution (10) and may also improve contrast between fatty tissue and subtle lesions, allowing better definition of subtle lesion margins and posterior shadowing (Fig 3).

 

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Speed of Sound Imaging

Conventional US systems set the speed of sound in tissue at a uniform 1540 m/sec (10). However, the speed of sound in tissues of different composition is variable and this variability may compromise US image quality. Breast tissue usually contains fat, and the speed of sound in fat, of approximately 1430–1470 m/sec, is slower than the assumed standard (11). Accurate speed of sound imaging, in which the US transducer may be optimized for the presence of fat within breast tissue, has been shown to improve lateral resolution (12). Additionally, it can be used to better characterize tissue interfaces, lesion margins, and microcalcifications (13) and may also be useful to identify subtle hypoechoic lesions surrounded by fatty breast tissue. Speed of sound imaging is available on most high-end modern US units and is an optional adjustment, depending on whether predominately fatty, predominately dense, or mixed breast tissue is being scanned.

 

 Lesion Annotation

When a mass is identified and the US settings are optimized, the mass should be scanned with US “sweeps” through the entire lesion in multiple planes. Images of the lesion in the radial and antiradial views should be captured and annotated with “right” or “left,” clock face position, and centimeters from the nipple. Radial and anti-radial scanning planes are preferred over standard transverse and sagittal scanning planes because scanning the breast along the normal axis of the mammary ducts and lobar tissues allows improved understanding of the site of lesion origin and better visualization of ductal extension and helps narrow the differential diagnosis (14). Images should be captured with and without calipers to allow margin assessment on static images. Lesion size should be measured in three dimensions, reporting the longest horizontal diameter first, followed by the anteroposterior diameter, then the orthogonal horizontal.

 

 Extended-Field-of-View Imaging

Advanced US technology permits extended-field-of-view imaging beyond the footprint of the transducer. By using a freehand technique, the operator slides the transducer along the desired region to be imaged. The resultant images are stored in real-time and, by applying pattern recognition, a single large-field-of-view image is obtained (7). This can be helpful in measuring very large lesions as well as the distance between multiple structures in the breast and for assessing the relationship of multifocal disease (located in the same quadrant as the index cancer or within 4–5 cm of the index cancer, along the same duct system) and/or multicentric disease (located in a different quadrant than the index cancer, or at a distance greater than 4–5 cm, along a different duct system).

 

 Doppler US

Early studies investigating the use of color, power, and quantitative spectral Doppler US in the breast reported that the presence of increased vascularity, as well as changes in the pulsatility and resistive indexes, showed that these Doppler findings could be used to reliably characterize malignant lesions (15,16). However, other investigators have demonstrated substantial overlap of many of these Doppler characteristics in both benign and malignant breast lesions (17). Gokalp et al (18) also demonstrated that the addition of power Doppler US and spectral analysis to BI-RADS US features of solid breast masses did not improve specificity. While the current BI-RADS US lexicon recommends evaluation of lesion vascularity, it is not considered mandatory (5).

Power Doppler is generally more sensitive than color Doppler to low-flow volumes typical of breast lesions. Light transducer pressure is necessary to prevent occlusion of slow flow owing to compression of the vessel lumen. Currently both power and color Doppler are complementary tools to gray-scale imaging, and power Doppler may improve sensitivity in detecting malignant breast lesions (18,19). Demonstration of irregular branching central or penetrating vascularity within a solid mass raises suspicion of malignant neovascularity (20). Recently, the parallel artery and vein sign has been described as a reliable feature that has the potential to enable prediction of benignity in solid masses so that biopsy may be avoided. In a single study, a paired artery and vein was present in 13.2% of over 1000 masses at US-guided CNB and although an infrequent finding, the specificity for benignity was 99.3% and the false-negative rate was only 1.4%, with two malignancies among 142 masses in which the parallel artery and vein sign was identified (21).

Color and power Doppler US are also useful to evaluate cysts and complex cystic masses that contain a solid component. High-grade invasive cancer and metastatic lymph nodes may occasionally appear anechoic. Demonstration of flow within an otherwise simple appearing cyst, a complicated cyst, or a complex mass confirms the presence of a suspicious solid component, which requires biopsy. In addition, twinkle artifact seen with color Doppler US is useful to identify a biopsy marker clip or subtle echogenic microcalcifications (Fig 4). This Doppler color artifact occurs secondary to the presence of a strong reflecting granular surface and results in a rapidly changing mix of color adjacent to and behind the reflector (22). Care must be taken to avoid mistaking twinkle artifact for true vascular flow and, if in doubt, a spectral Doppler tracing can be obtained, as a normal vascular waveform will not be seen with a twinkle artifact.

 

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Elastography

At physical examination, it has long been recognized that malignant tumors tend to feel hard when compared with benign lesions. US elastography can be used to measure tissue stiffness with the potential to improve specificity in the diagnosis of breast masses. There are two forms of US elastography available today: strain and shear wave. With either technique, acoustic information regarding lesion stiffness is converted into a black-and-white or color-scaled image that can also be superimposed on top of a B-mode gray-scale image.

Strain elastography requires gentle compression with a US probe or natural motion (such as heart beat, vascular pulsation, or respiration) and results in tissue displacement, or strain. Strain (ie, tissue compression and motion) is decreased in hard tissues compared with soft tissue (23). The information obtained with strain elastography provides qualitative information, although strain ratios may be calculated by comparing the strain of a lesion to the surrounding normal tissue. Benign breast lesions generally have lower ratios in comparison to malignant lesions (24,25).

Shear-wave elastography is based on the principle of acoustic radiation force. With use of light transducer pressure, transient automatic pulses can be generated by the US probe, inducing transversely oriented shear waves in tissue. The US system captures the velocity of these shear waves, which travel faster in hard tissue compared with soft tissue (26). Shear-wave elastography provides quantitative information because the elasticity of the tissue can be measured in meters per second or in kilopascals, a unit of pressure.

Elastography features such as strain ratios, size ratios, shape, homogeneity, and maximum lesion stiffness may complement conventional US in the analysis of breast lesions. Malignant masses evaluated with elastography tend to be more irregular, heterogeneous, and typically appear larger at elastography than at grayscale imaging (Fig 5) (27,28). Although malignant lesions generally also exhibit maximum stiffness greater than 80–100 kPa (28,29), caution is necessary when applying these numerical values to lesion analysis. Berg et al (28) reported three cancers among 115 masses with maximum stiffness between 20 and 30 kPa, for a 2.6% malignancy rate; 25 cancers among 281 masses with maximum stiffness between 30 and 80 kPa, for an 8.9% malignancy rate; and 61 cancers among 153 masses with maximum stiffness between 80 and 160 kPa, for a 39.9% malignancy rate (28). Invasive cancers with high histologic grade, large tumor size, nodal involvement, and vascular invasion have also been shown to be significantly correlated with high mean stiffness at shear-wave elastography (30).

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Elastography may be useful in improving the specificity of US evaluation of BI-RADS 3 and 4A lesions, including complicated cysts. Berg and colleagues (28) showed that by using qualitative shear-wave elastography and color assessment of lesion stiffness, oval shape, and a maximum elasticity value of less than 80 kPa, unnecessary biopsy of low-suspicion BI-RADS 4A masses could be reduced without a significant loss in sensitivity. Several investigators have proposed a variety of imaging classifications using strain elastography, mostly based on the color pattern (27,31,32). A “bull’s eye” artifact has also been described as a characteristic feature present in benign breast cysts, which may appear as a round or oval lesion with a stiff rim associated with two soft spots, one located centrally and the other posteriorly (33).

Despite these initial promising studies regarding the role of US elastography in the analysis of breast lesions, limitations do exist. Strain and shear-wave elastography are quite different methods of measuring breast tissue stiffness, and the application of these methods varies across different commercial manufacturers. Inter- and intraobserver variability may be relatively high because the elastogram may be affected by differences in degree and method of compression. With strain elastography, a quality indicator that is an associated color bar or numerical value may be helpful to ensure proper light compression. Shear-wave elastography has been shown to be less operator-dependent, as tissue compression is initiated by the US probe in a standard, reproducible fashion (34) and only light transducer pressure is necessary. In addition, there is currently no universal color-coding standard and, depending on the manufacturer and/or operator preference, stiff lesions may be arbitrarily coded to appear red while soft lesions appear blue, or vice versa. Some elastography features such as the “bull’s eye” artifact are only seen on specific US systems. Lesions deeper than 2 cm are less accurately characterized by means of elastography. Moreover, one must be aware that soft cancers and hard benign lesions exist. Therefore, careful correlation of elastography with B-mode US features and mammography is essential. Future studies and further technical advances, including the creation of more uniformity across different US manufacturers, will ultimately determine the usefulness of elastography in clinical practice.

Three-dimensional US

Both handheld and automated high-resolution linear 3D transducers are now available for use in breast imaging. With a single pass of the ultrasound beam, a 3D reconstructed image can be formed in the coronal, sagittal, and transverse planes, potentially allowing more accurate assessment of anatomic structures and tumor margins (Fig 6). Few studies regarding the performance of 3D US in the breast exist, but a preliminary study demonstrated improved characterization of malignant lesions (35). Automated supine whole-breast US using 3D technology is now widely available for use in the screening setting (see section on screening breast US). Three-dimensional US may also be used in addition to computed tomography for image-guided radiation therapy (36) and has a potential role in assessing tumor response to neoadjuvant chemotherapy.

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US Features of Benign and Malignant Breast Lesions

Cysts

Although for many years the main function of breast US was to differentiate cysts from solid masses, this differentiation can at times be problematic, particularly if the lesion is small or located deep in the breast. Simple cysts are defined as circumscribed, anechoic masses with a thin imperceptible wall and enhanced through transmission (provided spatial compounding is not used). By convention, simple cysts may also contain up to a single thin septation. Simple cysts are confidently characterized with virtually 100% accuracy at US (14,37), provided that they are not very small (< 5 mm in size) or not located in deep tissue. Complicated cysts are hypoechoic with no discernable Doppler flow, contain internal echoes, and may also exhibit indistinct margins, and/or lack posterior acoustic enhancement. Clustered microcysts consist of a cluster of tiny (<2–3 mm in size) anechoic foci with thin (< 0.5 mm in thickness) intervening septations.

Complicated cysts are very common sonographic findings and the majority are benign. In multiple studies, which evaluated over 1400 complicated cysts and microcysts, the malignancy rate ranged from 0% to 0.8% (3844). Most complicated cysts and clustered microcysts with a palpable or mammographic correlate are classified as BI-RADS 3 and require short-interval imaging follow-up or, occasionally, US-guided aspiration. However, in the screening US setting, if multiple and bilateral complicated and simple cysts are present (ie, at least three cysts with at least one cyst in each breast), these complicated cysts can be assessed as benign, BI-RADS 2, requiring no additional follow-up (38).

Complicated cysts should never demonstrate internal vascularity at color Doppler interrogation. The presence of a solid component, mural nodule, thickened septation, or thickened wall within a cystic mass precludes the diagnosis of a benign complicated cyst. These complex masses require biopsy, as some cancers may have cystic components. The application of compound imaging and harmonics, color Doppler, and potentially elastography may help differentiate benign complicated cysts from malignant cystic-appearing masses and reduce the need for additional follow-up or biopsy.

Solid Masses

Sonographic features of benign-appearing solid masses include an oval or ellipsoid shape, “wider-than-tall” orientation parallel to the skin, circumscribed margins, gentle and smooth (less than three) lobulations, as well as absence of any malignant features (2,45) (Fig 2b). Lesions with these features are commonly fibroadenomas or other benign masses and can often be safely followed, even if the mass is palpable (4648). Malignant features of solid masses include spiculations, angular margins, marked hypoechogenicity, posterior acoustic shadowing, microcalcifications, ductal extension, branching pattern, and 1–2-mm microlobulations (2,45) (Figs 1b,56). These are also often taller-than-wide lesions with a nonparallel orientation to the skin and may occasionally be associated with thickened Cooper ligaments and/or or skin thickening. Most cancers have more than one malignant feature, spiculation being the most specific and angular margins the most common (2).

There is, however, considerable overlap between these benign and malignant US features and careful scanning technique, as well as direct correlation with mammography, is essential. For example, some high-grade invasive ductal carcinomas with central necrosis, as well as the well-differentiated mucinous and medullary subtypes, may present as circumscribed, oval, hypoechoic masses that may look like complicated cysts with low-level internal echoes at US. Benign focal fibrous breast tissue or postoperative scars can appear as irregular shadowing masses on US images. Furthermore, while echogenic lesions are often benign and frequently represent lipomas or fibrous tissue, echogenic cancers do rarely occur (Figs 78) (49,50). The presence of a single malignant feature, despite the presence of multiple benign features, precludes a benign classification and mandates biopsy, with the exception of fat necrosis and postoperative scars exhibiting typical benign mammographic features. Likewise, a mass with a benign US appearance should be biopsied if it exhibits any suspicious mammographic features.

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 Ductal Carcinoma in Situ

Ductal carcinoma in situ (DCIS) is characteristically associated with microcalcifications detected at mammography, but may also be detected at US since they are often associated with a subtle hypoechoic mass, which may indicate an invasive mammographically occult component. US features associated with DCIS most commonly include a hypoechoic mass with an irregular shape, microlobulated margins, no posterior acoustic features, and no internal vascularity. Ductal abnormalities, intracystic lesions, and architectural distortions may also be present (5153). Noncalcified DCIS manifesting as a solid mass at US is more frequently found in non–high-grade than high-grade DCIS, which is more often associated with microcalcifications and ductal changes (54). US can depict microcalcifications, particularly those in clusters greater than 10 mm in size and located in a hypoechoic mass or a ductlike structure (Fig 9) (55). Malignant calcifications are more likely to be detected sonographically than are benign calcifications, which may be obscured by surrounding echogenic breast tissue (55,56). Although US is inferior to mammography in the detection of suspicious microcalcifications, the main benefit of US detection of DCIS is to identify the invasive component and guide biopsy procedures.

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Breast US in Clinical Practice

Current indications for breast US as recommended by the American College of Radiology Practice Guidelines include the evaluation of palpable abnormalities or other breast symptoms, assessment of mammographic or MR imaging–detected abnormalities, and evaluation of breast implants (57). Additionally, US is routinely used for guidance during interventional procedures, treatment planning for radiation therapy, screening in certain groups of women, and evaluation of axillary lymph nodes. Much literature has been written on these uses and a comprehensive discussion is beyond the scope of this article. A few important and timely topics, however, will be reviewed.

 

 

BI-RADS US

The BI-RADS US lexicon was introduced in 2003, and subsequently, there have been several studies assessing the accuracy of BI-RADS US classification of breast lesions. Low to moderate interobserver agreement has been found in the description of margins (especially noncircumscribed margins), echogenicity, and posterior acoustic features. Abdullah et al (58) reported low interobserver agreement especially for small masses and for malignant masses. Given the importance of margin analysis in the characterization of benign and malignant lesions, this variability is potentially problematic. Studies have also shown variable results in the use of the final assessment categories. In clinical settings, Raza et al (46) showed inconsistent use of the BI-RADS 3 (probably benign) category in 14.0% of cases when biopsy was recommended. Abdullah et al also demonstrated fair and poor interobserver agreement for BI-RADS 4 (suspicious for malignancy) a, b, and c subcategories (58). However, Henig et al (59) reported more promising results, with malignancy rates in categories 3, 4, and 5 to be similar to those seen with mammographic categorization (1.2%, 17%, and 94%, respectively).

 

 Evaluation of Mammographic Findings

Targeted US is complementary to diagnostic mammography because of its ability to differentiate cystic and solid lesions.US is also useful in the work up of subtle asymmetries, as it can help identify or exclude the presence of an underlying mass. True hypoechoic lesions can often be differentiated from prominent fat lobules by scanning in multiple planes, because true lesions usually do not blend or elongate into adjacent tissue. With the introduction of digital breast tomosynthesis for mammographic imaging, US will play yet another important role. As mammographic lesions can often be detected, localized, and have adequate margin assessment on 3D images, patients with lesions detected on digital breast tomosynthesis images at screening may often be referred directly to US, avoiding additional mammographic imaging and its associated costs and radiation exposure (Fig 10). This will place an even greater importance on high-quality US.

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Evaluation of the Symptomatic Patient:Palpable Masses, Breast Pain, and Nipple Discharge

US is essential in the evaluation of patients with the common clinical complaint of either a palpable mass or focal persistent breast pain. Unlike focal breast pain, which may be occasionally associated with benign or malignant lesions, diffuse breast pain (bilateral or unilateral), as well as cyclic breast pain, requires only clinical follow-up, as it is usually physiologic with an extremely low likelihood of malignancy (60,61). In patients with isolated focal breast pain, the role of sonography may be limited to patient reassurance (61). In women younger than 30 years of age, with a palpable lump or focal breast pain, US is the primary imaging test, with a sensitivity and negative predictive value of nearly 100% (62). Symptomatic women older than 30 years usually require both US and mammography, and in these patients, the negative predictive value approaches 100% (63,64). Lehman et al (65) demonstrated that in symptomatic women aged 30–39 years, the risk of malignancy was 1.9% and the added value of adjunct mammography in addition to US was low. Identification of a benign-appearing solid lesion at US in a symptomatic woman can negate the need for needle biopsy, as many of these masses can safely be monitored with short-interval follow-up US (4648), usually performed at 6 months. A suspicious mass identified at US can promptly undergo biopsy with US guidance.

US can also be used as an alternative or an addition to ductography in patients who present with unilateral, spontaneous bloody, clear, or serosanguinous nipple discharge (66). Among women with worrisome nipple discharge, ductography can demonstrate an abnormality in 59%–82% of women (67,68), MR imaging may demonstrate a suspicious abnormality in 34% of women (68), and US has been shown to demonstrate a subareolar mass or an intraductal mass or filling defect in up to 14% of women (67). If US can be used to identify a retroareolar mass or an intraductal mass, US-guided biopsy can be performed and ductography may be avoided (Fig 11). US may be limited, however, as small peripherally located intraductal masses or masses without an associated dilated duct may not be identified. Therefore, galactography, MR imaging, and/or major duct excision may still be necessary in the symptomatic patient with a negative US examination.

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Finally, in the pregnant or lactating patient who presents with a palpable breast mass, focal breast pain, or bloody nipple discharge, US is also the initial imaging modality of choice. Targeted US examination in these patients can be used to identify most benign and malignant masses, including fibroadenomas, galactocoeles, lactating adenomas, abscesses, and invasive carcinomas. In a recent study by Robbins et al (69), a negative predictive value of 100% was found among 122 lesions evaluated with US in lactating, pregnant, or postpartum women. This is much higher than the pregnancy-associated breast cancer sensitivity of mammography, which has been reported in the range of 78%–87% (70,71). The diminished sensitivity of mammography is likely due to increased parenchymal density seen in these patients. However, since lactating breast parenchyma is more echogenic than most breast masses, hypoechoic breast cancers are more readily detected at US in pregnant patients.

 

 

Supplemental Screening Breast US

Because of the known limitations of mammography, particularly in women with dense breast tissue, supplemental screening with whole-breast US, in addition to mammography, is increasingly gaining widespread acceptance. Numerous independent studies have demonstrated that the addition of a single screening or whole-breast US examination in women with dense breast tissue at mammography will yield an additional 2.3–4.6 mammographically occult cancers per 1000 women (7280). Mammographically occult cancers detected on US images are generally small node-negative invasive cancers (Fig 12) (81). However, few studies have investigated the performance of incident screening breast US, and the optimal screening US interval is unknown. Berg and colleagues (82) recently demonstrated that incident annual supplemental screening US in intermediate- and high-risk women with mammographically dense breast tissue enabled detection of an additional 3.7 cancers per 1000 women screened.

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Handheld screening breast US is highly operator-dependent and the majority of screening breast US studies have relied on physician-performed examinations. As per the ACRIN 6666 protocol, a normal screening US examination should consist of a minimum of one image in each quadrant and one behind the nipple (83). Two studies have also demonstrated that technologist-performed handheld screening breast US can achieve similar cancer detection rates (76,78).

Automated whole-breast US is a recently developed alternative to traditional handheld screening breast US, in which standardized, uniform image sets may be readily obtained by a nonradiologist. Automated whole-breast US systems may utilize a standard US unit and a linear-array transducer attached to a computer-guided mechanical arm or a dedicated screening US unit with a 15-cm wide transducer (84,85). With these systems, over 3000 overlapping sagittal, transverse, and coronal images are obtained and available for later review by the radiologist, with associated 3D reconstruction. The advantages include less operator dependence, increased radiologist efficiency, and increased reproducibility, which could aid in follow-up of lesions.

A multi-institutional study has shown that supplemental automated whole-breast US can depict an additional 3.6 cancer per 1000 women screened, similar to physician-performed handheld screening US (85). However, disadvantages include the limited ability to scan the entire breast, particularly posterior regions in large breasts, time-consuming review of a large number of images by the radiologist, and the need to recall patients for a second US examination to re-evaluate indeterminate findings. Moreover, few investigators have compared the use of handheld with automated breast US screening. A single small recent study by Chang et al (86) demonstrated that of 14 cancers initially detected at handheld screening, only 57%–79% were also detected by three separate readers on automated whole-breast US images, with the two cancers missed by all three readers at automated whole-breast US, each less than 1 cm in size.

The use of supplemental screening breast US, performed in addition to mammography, remains controversial despite proof of the ability to detect small mammographically occult cancers. US has limited value for the detection of small clustered microcalcifications without an associated mass lesion. Low positive predictive values of biopsies performed of less than 12% have been consistently reported (77,87). No outcome study has been able to demonstrate a direct decrease in patient mortality due to the detection of these additional small and mammographically occult cancers. This would require a long, randomized screening trial, which is not feasible. Rationally, however, the early detection and treatment of additional small breast cancers should improve outcomes and reduce overall morbidity and mortality. Many insurance companies will not reimburse for screening breast US and historically, this examination has not been widely accepted in the United States.

Nevertheless, because of both the known efficacy of supplemental screening breast US and overall increased breast cancer awareness, more patients and clinicians are requesting this examination. In fact, some states now mandate that radiologists inform women of their breast density and advise them to discuss supplemental screening with their doctors. Although supplemental screening breast MR imaging is usually preferred for women who are at very high risk for breast cancer (ie, women with a lifetime risk of over 20%, for example those women who are BRCA positive or have multiple first-degree relatives with a history of premenopausal breast cancer), screening breast US should be considered in women at very high risk for breast cancer who cannot tolerate breast MR imaging, as well as those women with dense breast tissue and intermediate risk (ie, lifetime risk of 15%–20%, for example those women whose only risk factor is a personal history of breast cancer or previous biopsy of a high-risk lesion), or even average risk. Future studies are needed to establish strategies to reduce false-positive results and continue to optimize both technologist-performed handheld screening US and automated whole-breast US in women with mammographically dense breast tissue.

 

 Use of US for MR Imaging–depicted Abnormalities

MR imaging of the breast is now an integral part of breast imaging, most commonly performed to screen high-risk women and to further assess the stage in patients with newly diagnosed breast cancers. While MR has a higher sensitivity than mammography for detecting breast cancer, the specificity is relatively low (88). Lesions detected on MR images are often mammographically occult, but many can be detected with targeted US (Fig 13). Besides further US characterization of an MR imaging–detected lesion, US may be used to guide intervention for lesions initially detected at MR imaging. US-guided biopsies are considerably less expensive, less time consuming, and more comfortable for the patient than MR imaging–guided biopsies.

Picture13a

Picture13b

Some suspicious lesions detected at MR imaging will represent invasive ductal or lobular cancers, but many may prove to be intraductal disease, which can be challenging to detect at US. Meticulous scanning technique is required for an MR imaging–directed US examination, with knowledge of subtle sonographic signs and close correlation with the MR imaging findings and location. Precontrast T1 images are helpful to facilitate localization of lesions in relation to fibroglandular tissue (89). Because MR imaging abnormalities tend to be vascular, increased vascularity may also assist in detection of a subtle sonographic correlate (90). Having the MR images available for simultaneous review while performing the US examination will ideally permit such associative correlation. At the authors’ facility, computer monitors displaying images from the picture archiving and communication system are available in all US rooms for this purpose.

Recent studies have shown that 46%–71% of lesions at MR imaging can be detected with focused US (9094). Enhancing masses detected on MR images are identified on focused US images in 58%–65% of cases compared with nonmass enhancement, which is identified on focused US images in only 12%–32% of cases (9092). Some studies have shown that US depiction of an MR imaging correlate was independent of size (91,93,95). However, Meissnitzer et al (92) showed that size dependence is also important: For masses 5 mm or smaller, only 50% were seen, versus 56% for masses 6–10 mm, 73% for masses 11–15 mm, and 86% for masses larger than 15 mm. Likewise, this study also demonstrated that for nonmass lesions, a US correlate was found for 13% of those measuring 6–10 mm, 25% of those 11–15 mm, and 42% of those larger than 15 mm (92). In addition, many of these studies determined that when a sonographic correlate was discovered, the probability of malignancy was increased (9092). Since typical US malignant features such as spiculation and posterior shadowing may be absent and the pretest probability is higher for MR imaging–detected lesions, a lower threshold for biopsy should be considered when performing MR imaging–directed US compared with routine targeted US (90) or screening US.

Because lesions are often very subtle at MR-directed US examination and because of differences in patient positioning during the two examinations, careful imaging–histologic correlation is required when performing US-guided biopsy of MR imaging–detected abnormalities. For lesions sampled with a vacuum-assisted device and US guidance, Sakamoto et al (96) found a higher rate of false-negative biopsy results for MR imaging–detected lesions than for US-detected lesions, suggesting that precise US-MR imaging correlation may not have occurred. Meissnitzer et al (92) showed that although 91% of MR imaging–detected lesions had an accurate US correlate, 9% were found to be inaccurate. With ever-improving techniques and experience in breast US, the US visualization of MR imaging–detected abnormalities will likely continue to improve. Nevertheless, if a suspicious lesion is not identified sonographically, MR imaging–guided biopsy should still be performed, because the malignancy rate of sonographically occult MR imaging–detected lesions has been shown to range from 14% to 22% (91,95).

 

 

Preoperative Staging of Cancer with US

Breast MR imaging has been shown to be more sensitive than US in the detection of additional foci of mammographically occult disease in women with newly diagnosed breast cancer (9799). Nevertheless, when a highly suspicious mass is identified at mammography and US, immediate US evaluation of the remainder of the ipsilateral breast, the contralateral breast, and the axilla should be considered. If additional lesions are identified, preoperative staging with MR imaging can be avoided and US-guided biopsy can be promptly performed, saving the patient valuable time and expense (100). In a study by Moon et al (101), of 201 patients with newly diagnosed breast cancer, staging US demonstrated mammographically occult multifocal or multicentric disease in 28 patients (14%) and contralateral breast cancers in eight patients (4%), resulting in a change in therapy in 32 patients (16%).

US can also be used to identify abnormal axillary, supraclavicular, and internal mammary lymph nodes. Abnormal lymph nodes characteristically demonstrate focal or diffuse cortical thickening (≥3 mm in thickness), a round (rather than oval or reniform) shape, loss of the echogenic fatty hilum and/or nonhilar, disorganized, irregular blood vessels (102,103) (Fig 14). A positive US-guided CNB or fine-needle aspiration of a clinically abnormal axillary lymph node in a patient with a known breast cancer can aid patient management, by avoiding the need for sentinel node biopsy and allowing the patient instead to proceed directly to axillary lymph node dissection or neoadjuvant chemotherapy.

Picture14

 

 Interventional Breast US

US-guided interventional procedures have increased in volume in recent years and US is now the primary biopsy guidance technique used in many breast imaging centers. Most palpable lesions, as well as lesions detected at mammography, MR imaging, or screening US, can be sampled with US. With current high-resolution transducers, even suspicious intraductal microcalcifications may be detected and sampled.

While US-guided procedures require technical skills that must be developed and can be challenging, once mastered this technique allows precise real-time sampling of the lesion, which is not possible with either stereotactic or MR imaging–guided procedures. US-guided procedures do not require ionizing radiation or intravenous contrast material. US procedures are more tolerable for patients than stereotactic (104) or MR imaging–guided procedures because US-guided procedures are faster and more comfortable, as breast compression and uncomfortable biopsy coils or tables are not necessary and the procedure may be performed with the patient supine (104106).

Most literature has shown that automated 14-gauge CNB devices are adequate for the majority of US-guided biopsies (107115). Image-guided CNB is preferable to fine-needle aspiration cytology of breast masses because of superior sensitivity, specificity, and diagnostic accuracy (116). DCIS, malignant invasion, and hormone receptor status of invasive breast cancers can be determined with CNB samples, but not with fine-needle aspiration cytology. Fine-needle aspiration may be performed, however, in complicated cysts and symptomatic simple cysts. In these cases, the cyst aspirate fluid can often be discarded; cytology is usually only necessary if the fluid is frankly bloody (117).

The choice of performing fine-needle aspiration or CNB of a suspicious axillary lymph node depends on radiologist preference and the availability of an experienced cytopathologist, although CNB is usually more accurate than fine-needle aspiration biopsy (118,119). Fine-needle aspiration may be preferred for suspicious deep lymph nodes in proximity to the axillary vessels, whereas CNB may be preferred in large nodes with thickened cortices, particularly if determination of hormone receptor status or immunohistochemistry is desired, since more tissue is required for these assays. If lymphoma is suspected, a core should be placed in saline and also in conventional formalin.

While the underestimation rate of malignancy can be considerable for high-risk lesions such as atypical hyperplasia, such histology is not commonly found in lesions undergoing US-guided CNB. Multiple studies have shown a false-negative rate for US CNB biopsy of around 2%–3% (107115). Although the contiguous and larger samples obtained with a vacuum-assisted biopsy device undoubtedly reduce sampling error, the vacuum-assisted biopsy is a more expensive and more invasive procedure (109). In the authors’ experience, vacuum-assisted US biopsy is to be considered for small masses, intraductal or intracystic lesions, or lesions with subtle microcalcifications. These may be difficult to adequately sample with a spring-loaded automatic firing device. Alternatively, for more accurate sampling of such challenging cases, as well as some axillary lymph nodes and masses smaller than 1 cm in size, automated CNB needles designed to place the inner trough of the needle within a lesion before firing can be utilized (Fig 15). With this technique, the sampling trough of the CNB needle can be clearly visualized within the lesion before the overlying outer sheath is fired. Regardless of needle choice, a postbiopsy clip marker should be placed followed by a postbiopsy mammogram to document clip position. This will assist with follow-up imaging, facilitating mammography and/or MR imaging correlation.

Picture15a

 

Picture15b

There has been recent interest in the percutaneous removal of benign breast lesions by using US-guided vacuum-assisted biopsy. While in general, proved benign concordant lesions can safely remain in the breast, some patients desire removal. Percutaneous US-guided removal with a vacuum-assisted biopsy device can replace surgical removal in some cases, particularly for small lesions (1 cm in size or less). Several reports have shown promising results demonstrating rates of complete lesion excision, varying from 61% to 94% (120124). Dennis et al (125) demonstrated that vacuum-assisted US-guided biopsy could be used to excise intraductal lesions resulting in resolution of problematic nipple discharge in 97% of patients. Even on long-term follow-up, most studies show low rates of residual masses, more commonly observed in larger fibroadenomas.

 

 Intraoperative Breast US

The use of two-dimensional and 3D intraoperative US may decrease the incidence of positive margins and decrease re-excision rates (126130) particularly in the setting of lumpectomy for palpable cancers, when US is used to assess the adequacy of surgical margins to determine the need for additional tissue removal. Similarly, intraoperative US has also been utilized to improve detection and removal of metastatic lymph nodes during sentinel lymph node assessment (131).

 

Future Directions

Intravenous US microbubble contrast agents have been used to enhance US diagnosis by means of analysis, enhancement patterns, the rates of uptake and washout, and identification of tumor angiogenesis. In addition, preliminary research has shown that intravenous US contrast agents may be able to depict tissue function with the potential to deliver targeted gene therapy to selected tumor cells (132). However, there are currently no intravenous US contrast agents approved for use in breast imaging by the U.S. Food and Drug Administration. Other potential advances in breast US include fusion imaging, which involves the direct overlay of correlative MR imaging with targeted US. Another evolving area is that of US computer-aided detection, which may be of particular benefit when combined with automated whole-breast screening US.

 

 Summary

Technical advances in US now allow comprehensive US diagnosis, management, and treatment of breast lesions. Optimal use of US technology, meticulous scanning technique with careful attention to lesion morphology, and recognition and synthesis of findings from multiple imaging modalities are essential for optimal patient management. In the future, as radiologists utilize US for an ever-increasing scope of indications, become aware of the more subtle sonographic findings of breast cancer, and apply newly developing tools, the value of breast US will likely continue to increase and evolve.

 

Essentials

  • • Breast US is operator dependent; knowledge and understanding of the various technical options currently available are important for image optimization and accurate diagnosis.
  • • US is an interactive, dynamic modality and real-time scanning is necessary to assess subtle findings associated with malignancy.
  • • Ability to synthesize the information obtained from the breast US examination with concurrent mammography, MR imaging, and clinical breast examination is necessary for accurate diagnosis.
  • • The use of screening breast US in addition to mammography, particularly in women with dense breast tissue, is becoming more widely accepted in the United States.
  • • Breast US guidance is the primary biopsy method used in most breast imaging practices, and the radiologist should be familiar with various biopsy devices and techniques to adequately sample any breast mass identified at US.

 

Disclosures of Conflicts of Interest: R.J.H. No relevant conflicts of interest to disclose. L.M.S. Financial activities related to the present article: none to disclose. Financial activities not related to the present article: educational consultant in vascular US to Philips Healthcare; payment for lectures on breast US from Educational Symposia; payment for development of educational presentations from Philips Healthcare. Other relationships: none to disclose. L.E.P. Financial activities related to the present article: none to disclose. Financial activities not related to the present article: consultant to Hologic. Other relationships: none to disclose.

Abbreviations:

BI-RADS = Breast Imaging and Reporting Data System

CNB = core needle biopsy

DCIS = ductal carcinoma in situ

3D = three dimensional

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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.

MR Imaging of Prostate after Treatment with High-Intensity Focused Ultrasound

Alexander P. S. Kirkham, FRCR, Mark Emberton, FRCS, Ivan M. Hoh, MRCS, Rowland O. Illing, MRCS, A. Alex Freeman, FRCP and Clare Allen, FRCR

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

 table 1

 * 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

table 2

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.

 Picture1

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:

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Figure 2b:

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Figure 2c:

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Figure 2d:

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Figure 2e:

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Figure 2f:

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Figure 2g:

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Figure 2h:

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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 23). 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:

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 Figure 3b: Patient 4:

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Figure 3c: Patient 4:

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Figure 3d: Patient 4:

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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:

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Figure 4b: Patient 3:

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Figure 4c: Patient 3:

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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:

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Figure 5b: Patient 13:

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Figure 5c: Patient 13:

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Figure 5d: Patient 13:

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Figure 5e: Patient 13:

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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.

 Picture6

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.

Picture7

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

Abbreviations:HIFU = high-intensity focused ultrasoundPSA = prostate-specific antigen

 

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Thuroff S, Chaussy C, Vallancien G, et al. High-intensity focused ultrasound and localized prostate cancer: efficacy results from the European multicentric study. J Endourol 2003;17:673–677.

CrossRefMedline

Gelet A, Chapelon JY, Bouvier R, Rouviere O, Lyonnet D, Dubernard JM. Transrectal high intensity focused ultrasound for the treatment of localized prostate cancer: factors influencing the outcome. Eur Urol 2001;40:124–129.

CrossRefMedline

Gillett MD, Gettman MT, Zincke H, Blute ML. Tissue ablation technologies for localized prostate cancer. Mayo Clin Proc 2004;79:1547–1555.

CrossRefMedline

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Early Detection of Prostate Cancer: American Urological Association (AUA) Guideline

Author-Writer: Dror Nir, PhD

When reviewing the DETECTION OF PROSTATE CANCER section 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…..

 fig 1

But, if you bother to read the review underneath this image regarding EARLY DETECTION OF PROSTATE CANCER: AUA GUIDELINE produced 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 prostate biopsy. 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:

From AUA2013: “Histoscanning”- aided template biopsies for patients with previous negative TRUS biopsies

Imaging-biomarkers is Imaging-based tissue characterization

On the road to improve prostate biopsy

State of the art in oncologic imaging of Prostate

Imaging agent to detect Prostate cancer-now a reality

Scientists use natural agents for prostate cancer bone metastasis treatment

Today’s fundamental challenge in Prostate cancer screening

ROLE OF VIRAL INFECTION IN PROSTATE CANCER

Men With Prostate Cancer More Likely to Die from Other Causes

New Prostate Cancer Screening Guidelines Face a Tough Sell, Study Suggests

New clinical results supports Imaging-guidance for targeted prostate biopsy

Prostate Cancer: Androgen-driven “Pathomechanism” in Early-onset Forms of the Disease

Prostate Cancer and Nanotecnology

Prostate Cancer Cells: Histone Deacetylase Inhibitors Induce Epithelial-to-Mesenchymal Transition

Imaging agent to detect Prostate cancer-now a reality

Scientists use natural agents for prostate cancer bone metastasis treatment

ROLE OF VIRAL INFECTION IN PROSTATE CANCER

Prostate Cancers Plunged After USPSTF Guidance, Will It Happen Again?

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From AUA2013: “Histoscanning”- aided template biopsies for patients with previous negative TRUS biopsies

Reporter: Dror Nir, PhD

This year’s AUA takes place in San Diego, USA.

Wednesday, May 08, 2013 10:30 AM-12:30 PM
SDCC: Room 8
Prostate Cancer: Detection & Screening (V)
Moderated Poster
Funding: none
2209: “Histoscanning”- aided template biopsies for patients with previous negative TRUS biopsies.
Oleg Apolikhin; Andrey Sivkov; Gennady Efremov; Nikolay Keshishev; Oleg Zhukov; Andrey Koryakin

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.

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.

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Reporter and Curator: Ritu Saxena, PhD

Magnetic Resonance Imaging (MRI) is increasingly used in clinical diagnostics, for a rapidly growing number of indications. The MRI technique is non-invasive and can provide information on the anatomy, function and metabolism of tissues in vivo (Strijkers GJ, et al, Anticancer Agents Med Chem, May 2007;7(3):291-305). Basic contrast in the MRI image scans is as a result of contrast generated by differences in the relaxation times between different regions. Since the intrinsic contrast generated between regions is limited to allow clear and specific diagnosis, MRI contrast agents administered intravenously are increasingly being used to alter image contrast.

Gadoxetic acid, a gadolinium-based compound, is a recently developed hepatobiliary-specific contrast material for MRI that has high sensitivity in the detection of malignant liver tumors. Its salt, gadoxetate disodium, is marketed as Primovist in Europe and Eovist in the United States by Bayer HealthCare Pharmaceuticals. Gadoxetic acid is taken up by hepatocytes and then excreted into the bile ducts (Schuhmann-Giampieri G, et al, Radiology, Apr 1992;183(1):59-64). Therefore, hepatic focal lesions without normal hepatobiliary function are depicted as hypointense areas compared with the well-enhanced hyperintense background liver in the hepatobiliary phase of gadoxetic acid–enhanced MR imaging. In addition, gadoxetic acid can be used in the same way as gadopentetate dimeglumine to evaluate the hemodynamics of hepatic lesions in the dynamic phase after an intravenous bolus injection (Kitao A, et al, Radiology, Sep 2010;256(3):817-26).

Recently, researchers from Kanazawa University Graduate School of Medical Science, (Kanazawa, Japan) analyzed the correlation among biologic features, tumor marker production, and signal intensity at gadoxetic acid-enhanced MR imaging in hepatocellular carcinomas (HCCs). The findings were published in Radiology journal. The research was supported in part by a Grant-in-Aid for Scientific Research (21591549) from the Ministry of Education, Culture, Sports, Science and Technology; and by Health and Labor Sciences Research Grants for “Development of novel molecular markers and imaging modalities for earlier diagnosis of hepatocellular carcinoma.”

Research significance: HCC is the most frequent primary malignant tumor of liver and is the third most common cause of cancer death worldwide. It is the most Hepatocellular.

The accurate detection and characterization of HCC focal lesions is crucial for improving prognosis of patients with HCC.

Research problem: Gadoxetic acid–enhanced MR imaging is highly accurate for diagnosing HCC lesions. As discussed earlier, in this imaging process, hepatic focal lesions without normal hepatobiliary are hypointense as compared with the well-enhanced hyperintense background liver. However, approximately 6%–15% of hypervascular HCCs demonstrate isointensity or hyperintensity (Kitao A, et al, Eur Radiol, Oct 2011;21(10):2056-66).

Hypothesis: The reason for hyperintensity in some HCC lesions was previously shown to be due to overexpression of organic anion transporting polypeptide 8 (OATP8) (Kitao A, et al, Radiology, Sep 2010;256(3):817-26). The authors speculated that there might be a correlation of the tumor marker production and signal intensity (SI) on hepatobiliary phase images, which would reflect distinct genomic and proteomic expression of HCC. Thus, authors stated that “the purpose of this study was to analyze the correlation among the pathologic and biologic features, tumor marker production, with signal intensity (SI) on hepatobiliary phase gadoxetic acid–enhanced MR images of HCC” (Kitao A, et al, Radiology, Dec 2012;265(3):780-9).

Experimental design: From April 2008 to September 2011, 180 surgically resected HCCs in 180 patients (age, 65.0 years ± 10.3 [range, 34–83 years]; 138 men, 42 women) were classified as either hypointense (n = 158) or hyperintense (n = 22) compared with the signal intensity of the background liver on hepatobiliary phase gadoxetic acid–enhanced MR images (Abstract of the study).

Pathologic features were analyzed.

Serum analysis and immunohistochemical staining was performed and following were compared:

  1. Alpha fetoprotein (AFP) – is a main tumor marker of HCCs. AFP is the most abundant plasma protein found in the human fetus and plasma levels decrease rapidly after birth. A level above 500 nanograms/milliliter of AFP in adults can be indicative of hepatocellular carcinoma, germ cell tumors, and metastatic cancers of the liver.
  2. Absence of protein induced by vitamin K or antagonist-II (PIVKA-II) – is a clinically important serum tumor marker. PIVKAII is an incomplete coagulation factor prothrombin II whose production is related to the absence of vitamin K or the presence of the antagonist of vitamin K, which is the cofactor of g carboxylase that converts precursor into prothrombin.

Serum levels of both AFP and PIVKA-II correlate with HCC malignancy and prognosis (Miyaaki H, et al, J Gastroenterol, Dec 2007;42(12):962-8).

Results: The hyperintense HCCs showed significantly higher differentiation grade than the hypointense HCCs (P = .028). There was a significant difference in the proliferation pattern between the hypointense and hyperintense HCCs (P < .001) and the hyperintense HCCs showed a significantly lower rate of portal vein invasion than that of hypointense HCCs (P = .039). The serum levels of tumor markers AFP, AFP-L3, and PIVKA-II were significantly lower in the patients with hyperintense HCCs than in those with

hypointense HCCs (P = .003, .004, and .026). In addition, immunohistochemical analysis revealed that the expression of FP and PIVKA-II was lower in hyperintense than in hypointense HCCs (both P < .001). Also, hyperintense HCCs showed lower recurrence rate than hypointense HCCs (P = .039).

Conclusion: Variation was observed within differently stained lesions of HCC in the hepatobiliary phase gadoxetic acid–enhanced MR images as evident in tumor marker expression, proliferation pattern, differentiation grade, immunohistochemical analysis and recurrence.  The results lead to the hypothesis that hyperintense HCCs in the hepatobiliary phase gadoxetic acid–enhanced MR images might represent a particular type of HCC that is hypervascular and biologically less aggressive as compared to hypovascular HCCs. Interestingly, this research is another great example where tumor heterogeneity has been brought to light (similar to genetic heterogeneity in triple negative breast cancer deciphered by Lehmann BD, et al, 2011). The heterogeneity might be the basis of answers to why a particular therapy fails in a certain tumor type and fortifying evidence for appropriate analysis of the tumor for obtaining the desired tumor response from a particular drug.

Reference:

Kitao A, et al, Radiology, Dec 2012;265(3):780-9

Strijkers GJ, et al, Anticancer Agents Med Chem, May 2007;7(3):291-305

Schuhmann-Giampieri G, et al, Radiology, Apr 1992;183(1):59-64

Kitao A, et al, Radiology, Sep 2010;256(3):817-26

Kitao A, et al, Eur Radiol, Oct 2011;21(10):2056-66

Kitao A, et al, Radiology, Sep 2010;256(3):817-26

Miyaaki H, et al, J Gastroenterol, Dec 2007;42(12):962-8

Lehmann BD, et al, J Clin Invest, 2011;121(7):2750–2767

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Imaging-biomarkers is Imaging-based tissue characterization

Author – Writer: Dror Nir, PhD

For everyone who is skeptical about the future role of imaging-based tissue chracterisation in the management of cancer, the following “Statement paper” ESR statement on the stepwise development of imaging biomarkers published online: 9 February 2013, by the European Society of Radiology (ESR), should provide substantial reassurance that this kind of technology will become a must! In support of this claim I quote the following information:

The European Society of Radiology and its related European Institute for Biomedical Imaging Research (EIBIR) should have a relevant role in coordinating future developments of biomarkers and in the assessment and validation of imaging biomarkers as surrogate end points.

Acknowledgements

This paper was kindly prepared by the ESR Subcommittee on Imaging Biomarkers (Chairperson: Bernard Van Beers. Research Committee Chairperson: Luis Martí-Bonmatí. Members: Marco Essig, Thomas Helbich, Celso Matos, Wiro Niessen, Anwar Padhani, Harriet C. Thoeny, Siegfried Trattnig, Jean-Paul Vallée. Co-opted members: Peter Brader, Nicolas Grenier) on behalf of the European Society of Radiology (ESR) and with the help of Sabrina Doblas, INSERM U773, Paris, France.

It was approved by the ESR Executive Council in December 2012..

According to ESR: “There is increasing interest in developing the quantitative imaging of biomarkers in personalised medicine”. In this perspective, “Biomarkers” are tissue properties that can be quantitatively and reproducibly measured by imaging devices. One example for a major unmet need, which I found to be most interesting is the imaging-based detection of tumor invasiveness.

Quoting from the paper: ” Biomarkers are defined as “characteristics that are objectively measured and evaluated as indicators of normal biological processes, pathological processes, or pharmaceutical responses to a therapeutic intervention” [1]. Broadly, biomarkers fall into two categories: bio-specimen biomarkers, including molecular biomarkers and genetic biomarkers, and bio-signal biomarkers or imaging biomarkers. Bio-specimen biomarkers are obtained by removing a sample from a patient. Examples of these molecular biomarkers are genes and proteins detected from fluids or tissue samples. Bio-signal biomarkers remove no material from the patient, but rather detect and analyse an electromagnetic, photonic or acoustic signal emitted by the patient [2]. These imaging biomarkers have the advantage of being non-invasive, spatially resolved and repeatable [3]. They are of particular interest if they can overcome the limitations of the established histological “gold standards”. Indeed, invasive reference examinations, such as biopsy, can be inconclusive, are non-representative of the whole tissue (which is a tremendous limitation when assessing malignant tumours, which are known to be heterogeneous) and possess non-negligible levels of mortality and morbidity.

Genetic biomarkers indicate whether a disease may occur, but they are usually inefficient to assess the presence and stage of a disease. Similar to molecular biomarkers, imaging biomarkers can be used for early detection of diseases, staging and grading, and predicting or assessing the response to treatment [3]. Accordingly, because of their relative lower cost compared with imaging, molecular biomarkers may be more appropriate for disease screening and early detection than imaging biomarkers. With their high sensitivity, molecular biomarkers could also detect subclinical stages of disease before any morphological or functional change is detectable on imaging. In contrast, imaging biomarkers are often more useful than molecular biomarkers for disease staging, and also grading and for assessing tumour response, because localised information is crucial.

The main messages ESR wishes to deliver in this paper are that:

• Using imaging-biomarkers to streamline drug discovery and disease progression will drive a huge advancement in healthcare.

• The clinical qualification and validation of imaging biomarkers technology pose challenges, mainly in establishing the accuracy and reproducibility of such techniques. In that respect, agreements on standards and evaluation methods (e.g. clinical studies design) is imperative.

• There should be high motivation to pursue the development of imaging-biomarkers as the “clinical value of new biomarkers is of the highest priority in terms of patient management, assessing risk factors and disease prognosis.”

The paper deals to a great extent with the requirements on accuracy, reproducibility, standardization and quality control from the process of developing imaging-biomarkers:

Accuracy: Before being routinely used in the clinic, imaging biomarkers must be validated. Determining the accuracy implies calculating the sensitivity and specificity of the biomarker when compared with a biological process, such as tumour necrosis, which can be assessed at histopathological examination… [69]  [10, 11]

Reproducibility: Repeatability (measurements at short intervals on the same subjects using the same equipment in the same centres) and reproducibility (measurements at short intervals on the same subjects using different facilities in the same and different centres) studies must be conducted for image acquisition and image analysis…. Reproducibility studies are now very often included in scientific papers, as advised by the “standards for reporting of diagnostic accuracy” (STARD) criteria and should ideally include Bland-Altman plots and results of coefficients of repeatability [1617].

Standardisation: Standardisation relates to the establishment of norms or requirements about technical aspects. In the development of imaging biomarkers, two main aspects should be considered: Standardisation of image acquisition and Standardisation of image analysis…  [18] [1921]  [22] [27, 28] [3133]

Quality control: Adequate phantoms could be used to validate, on a day-to-day basis, that the biomarker stays robust and to avoid any drift in the machine, acquisition or processing protocol….  [34] [3035] [36] [37] [23].

The proposed development workflow:

“Similar to new drugs, the development of biomarkers has to pass along a pipeline going from discovery, through verification in different laboratories, validation and qualification before they can be used in clinical routine. Validation includes the determination of the accuracy and the precision (reproducibility) of the biomarker and standardisation concerns both acquisition and analysis. Qualification, defined as a “graded, fit-for-purpose evidentiary process linking a biomarker with biological processes and clinical end-points”, is a validation process in large cohorts of patients involving multiple centres, similar to phase III clinical trials, to obtain regulatory approval as surrogate endpoints [4]. A more extensive path to biomarker development has been reported [5]. The first step is the proof of concept, which defines any specific change relevant to the disease that can be studied using the available imaging and computational techniques. The relationship between this change and the presence, grading and response to treatment of the disease constitutes the proof of mechanism. The images needed to extract the biomarker must be appropriate (in terms of resolution, signal and contrast behaviour). Preparation of images relates to improving the data before the analysis (such as segmentation, filtering, interpolation or registration). The analysis and modelling of the signal by computational numerical adjustment of a mathematical model allow extracting the needed information (such as structural, physical, chemical, biological and functional properties). After this voxel-by-voxel computation, the spatial distribution of the biomarker can be depicted by parametric images, defined as derived secondary images which pixels represent the distribution values of a given parameter. Multivariate parametric images obtained by statistical modelling of the relevant parameters allow the reduction of data and a clear definition of the defined disease target. The abnormal values should be defined and measured through histogram analysis. A pilot test on a small sample of subjects, with and without the disease, has to be performed to validate the process—also called proof of principle—and to evaluate the influence of potential variations related to age, sex or any other source of biases. Finally, proofs of efficacy and effectiveness on larger and well-defined series of patients will show the ability of a biomarker to measure the clinical endpoint (Fig. 1).

Steps for the development of imaging biomarkers (adapted from [5])

Steps for the development of imaging biomarkers (adapted from [5])

The authors admit that the requirement posed on development of imaging-biomarkers represents a huge challenge and they try to offer ideas, mainly taken from the “MRI experience” to overcome certain hurdles. There is one important point on which they do not discuss: the definition of appropriate reference test. It is my own experience, based on many study protocols I developed in the past decade, that without reaching an agreement on that point, the development of imaging-biomarkers will just move in circles. Note, that today’s most “acceptable” reference test is histopathology, which everyone admits (as well mentioned in this paper); suffers many limitations. When it comes to validating imaging-biomarkers, the need to accurately match imaging products with histopathology is an additional major hurdle.

This is why, I see as a necessary step, to develop “real-time” imaging based tissue characterization combined with in-situ imaging-based histology.

 

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State of the art in oncologic imaging of breast.

Author-Writer: Dror Nir, PhD

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Word Cloud By Danielle Smolyar

In the coming posts I will address the state of the art in oncologic imaging based on a review paper; Advances in oncologic imaging that provides updates on the latest approaches to imaging of 5 common cancers: breast, lung, prostate, colorectal cancers, and lymphoma. This paper is published at CA Cancer J Clin 2012. © 2012 American Cancer Society.

The paper gives a fair description of the use of imaging in interventional oncology based on literature review of more than 200 peer-reviewed publications.

In this post I summaries the chapter on breast cancer imaging.

Breast Cancer Imaging

As a start the authors describes the evolution in the ACS imaging guidelines for breast cancer screening. Most interesting to learn is how age limits are changing. The most recent: “In 2010, the Society of Breast Imaging and the Breast Imaging Commission of the ACS issued recommendations for breast cancer screening to provide guidance in light of the controversies and emerging technologies.5 These recommendations were based on multiple prospective randomized trials as well as population-based experience.

Recommendations for screening with non-mammographic imaging are based not on evidence showing mortality reduction but largely on surrogate indicators, i.e., tumor size and nodal status, suggesting improved survival compared with women who are not screened.” I have referred to these guidelines in my recent post: Not applying evidence-based medicine drives up the costs of screening for breast-cancer in the USA.

As long as imaging interpretation is based mainly on observations related to lesion morphology:

“The imaging characteristics of malignant lesions are nonspecific and usually do not allow a definitive diagnosis. When a biopsy is recommended based on mammography, it has a 25% to 45% likelihood of resulting in a diagnosis of carcinoma.11 Similar positive predictive values are reported for biopsies recommended based on MRI.”

It is worthwhile noting that these results do not reflect purely the specificity of the imaging device but rather the specificity of the whole workflow; i.e imaging, biopsy and histopathology. All imaging techniques have false negatives: Mammography screening of general population misses approximately 20% of the cancers. This rate increases as breast density increases. MRI is not applied to general population. When applied to highly suspicious cases MRI misses ~10% of the invasive cancers. Although ultrasound has proven to be useful in detecting cancer especially in women with dense breasts: Automated Breast Ultrasound System (‘ABUS’) for full breast scanning: The beginning of structuring a solution for an acute need! Based on the literature reviewed by the authors of this paper they do not recommend routine sonography for these women.

For women with locally advanced breast cancer (Fig. 2) who undergo neoadjuvant therapy before breast surgery, the authors recommends post-treatment staging using MRI, which has been found to predict complete response with sensitivity above 60% and specificity as high as 90%.26

A 27-year-old female with locally advanced poorly differentiated invasive ductal carcinoma underwent evaluation of extent of disease before starting neoadjuvant chemotherapy. Sagittal fat-suppressed T1-weighted postcontrast MR images demonstrate an almost 6-cm heterogeneously enhancing mass (A) involving the skin of the lower breast (arrow) with (B) right axillary (arrow) and (C) right internal mammary adenopathy (arrow).

A 27-year-old female with locally advanced poorly differentiated invasive ductal carcinoma underwent evaluation of extent of disease before starting neoadjuvant chemotherapy. Sagittal fat-suppressed T1-weighted postcontrast MR images demonstrate an almost 6-cm heterogeneously enhancing mass (A) involving the skin of the lower breast (arrow) with (B) right axillary (arrow) and (C) right internal mammary adenopathy (arrow).

Same is recommended for women who have undergone lumpectomy if the surgical margins are positive. As post therapy follow-up, a new baseline mammogram of the treated breast is recommended followed by annual mammography.

In regards to emerging technology the following are discussed: Mammographic tomosynthesis – see also Improving Mammography-based imaging for better treatment planning

Contrast-enhanced digital mammography – “involves the injection of iodinated contrast material, as is done for computed tomography (CT); this enables hypervascular lesions to be seen with modified mammography technology, potentially providing the same information obtained through MRI. Little has been published on the clinical application of this technology, but diagnostic accuracy better than that of mammography and approaching that of MRI has been reported.3132

MR choline spectroscopy – has been shown to improve the positive predictive value of breast MRI and may be useful in reducing the number of lesions that require biopsy (Fig. 4).33 Studies of spectroscopy have reported sensitivities of 70% to 100% and specificities of 67% to 100% in the detection of breast cancer. Decreasing choline concentrations may also be a useful indication of tumor response to treatment before any change in tumor volume can be detected.3435 Technical factors have limited the use of spectroscopy to lesions 1 cm in size or larger.”

Sagittal fat-suppressed T1-weighted postcontrast MR image is shown (A) of the right breast of a 48-year-old female who was status post–contralateral mastectomy for DCIS with the spectroscopy voxel placed over an enhancing mass (arrow). The magnified spectrum (B) demonstrated no choline peak. Biopsy yielded fibroadenoma.

Sagittal fat-suppressed T1-weighted postcontrast MR image is shown (A) of the right breast of a 48-year-old female who was status post–contralateral mastectomy for DCIS with the spectroscopy voxel placed over an enhancing mass (arrow). The magnified spectrum (B) demonstrated no choline peak. Biopsy yielded fibroadenoma.

Diffusion-weighted MRI (DW-MRI) – “adding DW-MRI data to other imaging characteristics of lesions on breast MRI may increase the positive predictive value of the examination, in turn decreasing the number of benign lesions requiring biopsy for diagnosis.” See also Imaging: seeing or imagining? (Part 2).

Axial T1-weighted fat-suppressed postcontrast MR image is shown (A) of the left breast of a 42-year-old female with biopsy-proven contralateral cancer undergoing evaluation of disease extent. An enhancing mass (arrow) was seen in the left breast. This mass (arrow) was also demonstrated on the axial diffusion-weighted MR image (B). Biopsy yielded fibroadenoma with atypical ductal hyperplasia and lobular carcinoma in situ.

Axial T1-weighted fat-suppressed postcontrast MR image is shown (A) of the left breast of a 42-year-old female with biopsy-proven contralateral cancer undergoing evaluation of disease extent. An enhancing mass (arrow) was seen in the left breast. This mass (arrow) was also demonstrated on the axial diffusion-weighted MR image (B). Biopsy yielded fibroadenoma with atypical ductal hyperplasia and lobular carcinoma in situ.

Ultrasound-elastography – “Ultrasound elastography has been reported to differentiate benign from malignant breast lesions with sensitivities of 78% to 100% and specificities of 21% to 98%.39 When added to other US techniques, it may improve radiologists’ performance in distinguishing malignant breast lesions.”

Positron emission tomography (PET) – “alone or combined with CT, allows noninvasive, quantitative assessment of biochemical and functional processes at the molecular level in the body. It is most often performed with the radiolabeled glucose analogue [18F] fluorodeoxyglucose ([18F]FDG) to detect the elevated glucose metabolism that is a hallmark of cancer. In breast cancer, its utility depends on the pretest probability for advanced disease, and thus the clinical stage.” The authors found that the use of [18F] FDG PET to patients with stage I and II disease is “limited”. Specifically, they claim that it is not sufficiently accurate for axillary nodal staging in this subset of patients.40 The did find enough evidence to recommend the use of FDG PET in patients with advanced disease: “where it accurately defines disease extent,41 and frequently eliminates the need for other imaging tests, and provides an early readout of treatment response as well as prognostic information.”

Combined PET/MRI is mentioned as a promising technology for predicting response to therapy “but this remains to be proven”.

Positron emission mammography (PEM) – “adapts full-body PET imaging to the breast. In a multicenter study, the interpretation of PEM in conjunction with mammographic and clinical findings yielded a sensitivity of 91% and a specificity of 93% for breast cancer.47 “. However, the authors mention that its use for screening (applying to healthy women) has been criticized because of the need to administer a radioactive tracer.

Lung Cancer Imaging

To be followed…

Other research papers related to the management of breast cancer were published on this Scientific Web site:

The unfortunate ending of the Tower of Babel construction project and its effect on modern imaging-based cancer patients’ management

 Automated Breast Ultrasound System (‘ABUS’) for full breast scanning: The beginning of structuring a solution for an acute need!

Introducing smart-imaging into radiologists’ daily practice.

Will Bio-Tech make Medical Imaging redundant?

Improving Mammography-based imaging for better treatment planning

Not applying evidence-based medicine drives up the costs of screening for breast-cancer in the USA.

New Imaging device bears a promise for better quality control of breast-cancer lumpectomies – considering the cost impact

Harnessing Personalized Medicine for Cancer Management, Prospects of Prevention and Cure: Opinions of Cancer Scientific Leaders @ http://pharmaceuticalintelligence.com

Predicting Tumor Response, Progression, and Time to Recurrence

“The Molecular pathology of Breast Cancer Progression”

Personalized medicine gearing up to tackle cancer

Whole-body imaging as cancer screening tool; answering an unmet clinical need?

What could transform an underdog into a winner?

Mechanism involved in Breast Cancer Cell Growth: Function in Early Detection & Treatment

Nanotech Therapy for Breast Cancer

A Strategy to Handle the Most Aggressive Breast Cancer: Triple-negative Tumors

Optical Coherent Tomography – emerging technology in cancer patient management

Breakthrough Technique Images Breast Tumors in 3-D With Great Clarity, Reduced Radiation

Closing the Mammography gap

Imaging: seeing or imagining? (Part 1)

Imaging: seeing or imagining? (Part 2)

 

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A corner in the medical imaging’s ECO system

Author and Curator: Dror Nir, PhD

Availability of imaging devices in medical procedures requires more than science. It depends on meeting a complicated set of conditions that is constantly changing. Recently, a threat on the availability of MRI to patients needing diagnosis and treatment of life-threatening diseases was removed.

Quoted from the Alliance for MRI web-site:

The Alliance for MRI welcomes the Commission’s proposal to exempt Magnetic Resonance Imaging (MRI) from the limit values set in Directive 2004/40/EC to protect workers from electromagnetic fields (EMF Directive).

  • This derogation is necessary to ensure the unimpeded use of MRI so that patients have access to the highest standard of care across Europe.
  • The safe use of this technology is highly regulated. Criteria have been set to eliminate any danger to workers and patients.
  • MRI has been used for over 25 years, imaging up to 500 million patients without evidence of harm to workers due to exposure to electromagnetic fields.
  • The Alliance supports the adoption of guidelines to ensure that working practices are in line with the latest technological developments.

On 14 June 2011 the European Commission adopted a proposal to revise the directive on protecting workers from electromagnetic fields. The European Commission’s proposal includes a derogation for the medical and research use of MRI from the exposure limit values, which will ensure that this vital technology will continue to be available for all patients.

This revision is a result of the concerns raised by the Alliance for MRI and a recognition by the European Commission that the current Directive severely curtailed the use of MRI to the detriment of patients in Europe.

End of quote.

About Alliance for MRI

The ‘Alliance for MRI’ is a coalition of European Parliamentarians, patient groups, leading European scientists and the medical community, who together are seeking to avert the serious threat posed by EU health and safety legislation to the clinical and research use of Magnetic Resonance Imaging (MRI).

Gabriel Krestin, president of the European Society for Radiology said: “Today’s vote is an important step that reverses an earlier detrimental decision. Without this change patients could not have benefited from MRI in the diagnosis and treatment of life-threatening diseases,”

The parliamentary committee’s action corrects problems with the original Directive and endorses an updated proposal by the European Commission on Protecting Workers. By subjecting MRI to overly restrictive limits the original version would have curtailed MRI-guided brain surgery and made MRI difficult to use in situations where close patient contact is required, including imaging of vulnerable patients and children. The exemption is also necessary for research and development and for routine cleaning and maintenance of MRI equipment.

The committee-approved draft will be used as the basis of informal negotiations with Council. If agreement is reached, it will be voted on next year by the full Parliament.

Patient Group Representative Mary Baker (European Brain Council) said: “The derogation for Magnetic Resonance Imaging that was endorsed today will ensure that serious medical conditions such as cancer will be diagnosed and treated to the benefit of patients in Europe. I am calling on all Members of the European Parliament to follow the example of their colleagues and to support the MRI derogation in the plenary vote in early 2013”.

Interested to learn more about the cancer management ECO system? Visit the European Partnership for Action Against Cancer site.

Writen by: Dror Nir, PhD

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The unfortunate ending of the Tower of Babel construction project and its effect on modern imaging-based cancer patients’ management

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,

http://www.europeanurology.com/article/S0302-2838(10)01187-5

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…:-)

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Nanotechnology and MRI imaging

Author: Tilda Barliya PhD

The recent advances of “molecular and medical imaging” as an integrated discipline in academic medical centers has set the stage for an evolutionary leap in diagnostic imaging and therapy. Molecular imaging is not a substitute for the traditional process of image formation and interpretation, but is intended to improve diagnostic accuracy and sensitivity.

Medical imaging technologies allow for the rapid diagnosis and evaluation of a wide range of pathologies. In order to increase their sensitivity and utility, many imaging technologies such as CT and MRI rely on intravenously administered contrast agents. While the current generation of contrast agents has enabled rapid diagnosis, they still suffer from many undesirable drawbacks including a lack of tissue specificity and systemic toxicity issues. Through advances made in nanotechnology and materials science, researchers are now creating a new generation of contrast agents that overcome many of these challenges, and are capable of providing more sensitive and specific information (1)

Magnetic resonance imaging (MRI) contrast enhancement for molecular imaging takes advantage of superb and tunable magnetic properties of engineered magnetic nanoparticles, while a range of surface chemistry offered by nanoparticles provides multifunctional capabilities for image-directed drug delivery. In parallel with the fast growing research in nanotechnology and nanomedicine, the continuous advance of MRI technology and the rapid expansion of MRI applications in the clinical environment further promote the research in this area.

It is well known that magnetic nanoparticles, distributed in a magnetic field, create extremely large microscopic field gradients. These microscopic field gradients cause substantial diphase and shortening of longitudinal relaxation time (T1) and transverse relaxation time (T2 and T2*) of nearby nuclei, e.g., proton in the case of most MRI applications. The magnitudes of MRI contrast enhancement over clinically approved conventional gadolinium chelate contrast agents combined with functionalities of biomarker specific targeting enable the early detection of diseases at the molecular and cellular levels with engineered magnetic nanoparticles. While the effort in developing new engineered magnetic nanoparticles and constructs with new chemistry, synthesis, and functionalization approaches continues to grow, the importance of specific material designs and proper selection of imaging methods have been increasingly recognized (2)

Earlier investigations have shown that the MRI contrast enhancement by magnetic nanoparticles is highly related to their composition, size, surface properties, and the degree of aggregation in the biological environment.

Therefore, understanding the relationships between these intrinsic parameters and relaxivities of nuclei under influence of magnetic nanoparticles can provide critical information for predicting the properties of engineered magnetic nanoparticles and enhancing their performance in the MRI based theranostic applications. On the other hand, new contrast mechanisms and imaging strategies can be applied based on the novel properties of engineered magnetic nanoparticles. The most common MRI sequences, such as the spin echo (SE) or fast spin echo (FSE) imaging and gradient echo (GRE), have been widely used for imaging of magnetic nanoparticles due to their common availabilities on commercial MRI scanners. In order to minimize the artificial effect of contrast agents and provide a promising tool to quantify the amount of imaging probe and drug delivery vehicles in specific sites, some special MRI methods, such as  have been developed recently to take maximum advantage of engineered magnetic NPs

  • off-resonance saturation (ORS) imaging
  • ultrashort echo time (UTE) imaging

Because one of the major limitations of MRI is its relative low sensitivity, the strategies of combining MRI with other highly sensitive, but less anatomically informative imaging modalities such as positron emission tomography (PET) and NIRF imaging, are extensively investigated. The complementary strengths from different imaging methods can be realized by using engineered magnetic nanoparticles via surface modifications and functionalizations. In order to combine optical or nuclear with MR for multimodal imaging, optical dyes and radio-isotope labeled tracer molecules are conjugated onto the moiety of magnetic nanoparticles

Since most functionalities assembled by magnetic nanoparticles are accomplished by the surface modifications, the chemical and physical properties of nanoparticle surface as well as surface coating materials have considerable effects on the function and ability of MRI contrast enhancement of the nanoparticle core.

The longitudinal and transverse relaxivities, Ri (i=1, 2), defined as the relaxation rate per unit concentration (e.g., millimole per liter) of magnetic ions, reflects the efficiency of contrast enhancement by the magnetic nanoparticles as MRI contrast agents. In general, the relaxivities are determined, but not limited, by three key aspects of the magnetic nanoparticles:

  1. Chemical composition,
  2. Size of the particle or construct and the degree of their aggregation
  3. Surface properties that can be manipulated by the modification and functionalization.

(It is also recognized that the shape of the nanoparticles can affect the relaxivities and contrast enhancement. However these shaped particles typically have increased sizes, which may limit their in vivo applications. Nevertheless, these novel magnetic nanomaterials are increasingly attractive and currently under investigation for their applications in MRI and image-directed drug delivery).

Composition Effect: The composition of magnetic nanoparticles can significantly affect the contrast enhancing capability of nanoparticles because it dominates the magnetic moment at the atomic level. For instance, the magnetic moments of the iron oxide nanoparticles, mostly used nanoparticulate T2 weighted MRI contrast agents, can be changed by incorporating other metal ions into the iron oxide.  The composition of magnetic nanoparticles can significantly affect the contrast enhancing capability of nanoparticles because it dominates the magnetic moment at the atomic level. For instance, the magnetic moments of the iron oxide nanoparticles, mostly used nanoparticulate T2 weighted MRI contrast agents, can be changed by incorporating other metal ions into the iron oxide.

Size Effect: The dependence of relaxation rates on the particle size has been widely studied both theoretically and experimentally. Generally the accelerated diphase, often described by the R2* in magnetically inhomogeneous environment induced by magnetic nanoparticles, is predicted into two different regimes. For the relatively small nanoparticles, proton diffusion between particles is much faster than the resonance frequency shift. This resulted in the relative independence of T2 on echo time. The values for R2 and R2*are predicted to be identical. This process is called “motional averaging regime” (MAR). It has been well demonstrated that the saturation magnetization Ms increases with the particle size. A linear relationship is predicted between Ms1/3 and d-1. Therefore, the capability of MRI signal enhancement by nanoparticles correlates directly with the particle size. 

Surface Effect: MRI contrast comes from the signal difference between water molecules residing in different environments that are under the effect of magnetic nanoparticles. Because the interactions between water and the magnetic nanoparticles occur primarily on the surface of the nanoparticles, surface properties of magnetic nanoparticles play important roles in their magnetic properties and the efficiency of MRI contrast enhancement. As most biocompatible magnetic nanoparticles developed for in vivo applications need to be stabilized and functionalized with coating materials, the coating moieties can affect the relaxation of water molecules in various forms, such as diffusion, hydration and hydrogen binding.

The early investigation carried at by Duan et al suggested that hydrophilic surface coating contributes greatly to the resulted MRI contrast effect. Their study examined the proton relaxivities of iron oxide nanocrystals coated by copolymers with different levels of hydrophilicity including: poly(maleic acid) and octadecene (PMO), poly(ethylene glycol) grated polyethylenimine (PEG-g-PEI), and hyperbranched polyethylenimine (PEI). It was found that proton relaxivities of those IONPs depend on the surface hydrophilicity and coating thickness in addition to the coordination chemistry of inner capping ligands and the particle size.

The thickness of surface coating materials also contributed to the relaxivity and contrast effect of the magnetic nanoparticles. Generally, the measured T2 relaxation time increases as molecular weight of PEG increases.

In Summary

Much progress has taken place in the theranostic applications of engineered magnetic nanoparticles, especially in MR imaging technologies and nanomaterials development. As the feasibilities of magnetic nanoparticles for molecular imaging and drug delivery have been demonstrated by a great number of studies in the past decade, MRI guiding and monitoring techniques are desired to improve the disease specific diagnosis and efficacy of therapeutics. Continuous effort and development are expected to be focused on further improvement of the sensitivity and quantifications of magnetic nanoparticles in vivo for theranostics in future.

The new design and preparation of magnetic nanoparticles need to carefully consider the parameters determining the relaxivities of the nanoconstructs. Sensitive and reliable MRI methods have to be established for the quantitative detection of magnetic nanoparticles. The new generations of magnetic nanoparticles will be made not only based on the new chemistry and biological applications, but also with combined knowledge of contrast mechanisms and MRI technologies and capabilities. As new magnetic nanoparticles are available for theranostic applications, it is anticipated that new contrast mechanism and MR imaging strategies can be developed based on the novel properties of engineered magnetic nanoparticles.

References:

1http://www.omicsonline.org/2157-7439/2157-7439-2-115.php

2http://www.clinical-mri.com/pdf/CMRI/8036XXP14Ap454-472.PDF

3http://www.thno.org/v02p0086.htm

4http://www.omicsonline.org/2157-7439/2157-7439-2-115.pdf

5http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3017480/

6http://www.nature.com/nmeth/journal/v7/n12/full/nmeth1210-957.html

7http://endomagnetics.com/wp-content/uploads/2011/01/TargOncol_Review_2009.pdf

8http://www.nature.com/nnano/journal/v2/n5/abs/nnano.2007.105.html

9http://www.azonano.com/article.aspx?ArticleID=2680

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