A Comprehensive Analysis of Cribriform Morphology on Magnetic Resonance Imaging/Ultrasound Fusion Biopsy Correlated with Radical Prostatectomy Specimens.

PURPOSE: Recently a large body of evidence has emerged indicating that cribriform morphology is an aggressive prostate cancer morphological pattern associated with higher cancer specific mortality. In a comprehensive analysis we compared traditional and contemporary prostate biopsy techniques to detect prostate cancer with cribriform morphology with radical prostatectomy serving as the reference standard. MATERIALS AND METHODS: We queried a retrospectively maintained, single institution, multiparametric magnetic resonance imaging database of 1,001 patients to identify 240 who underwent magnetic resonance imaging-ultrasound fusion targeted biopsy and concurrent systematic biopsy from December 2014 to December 2016. Of the 3,978 biopsy cores obtained 694 positive cores were rereviewed by a genitourinary pathologist for pattern 4 subtype (cribriform, fused and poorly formed glands). Using paired analysis pathological results among 3 biopsy methods (systematic biopsy, targeted biopsy and systematic plus targeted biopsy) were compared. Prostatectomy specimens were also pathologically reviewed. RESULTS: Systematic plus targeted biopsy was superior to systematic biopsy alone or targeted biopsy alone to detect cribriform morphology (all p <0.0001). On final histopathology cribriform tumor foci were associated with an increased percent of pattern 4 involvement and extraprostatic extension (p <0.0001 and 0.003, respectively). Only 17.4% of cribriform tumors in pure form were visible on multiparametric magnetic resonance imaging. Based on final histopathology the sensitivity of systematic biopsy, targeted biopsy and systematic plus targeted biopsy for cribriform morphology was 20.7%, 28.6% and 37.1%, respectively. CONCLUSIONS: Although systematic plus targeted biopsy was the most accurate biopsy method to detect cribriform morphology, biopsy sensitivity and specificity remained poor.

Impact of Gleason Subtype on Prostate Cancer Detection Using Multiparametric Magnetic Resonance Imaging: Correlation with Final Histopathology.

PURPOSE: We determined whether Gleason pattern 4 architecture impacts tumor visibility on multiparametric magnetic resonance imaging and correlates with final histopathology. MATERIALS AND METHODS: A total of 83 tumor foci were identified in 22 radical prostatectomy specimens from patients with a prior negative biopsy who underwent magnetic resonance/ultrasound fusion biopsy followed by radical prostatectomy from January 2015 to July 2016. A genitourinary pathologist rereviewed tumor foci for Gleason architectural subtype. Each prostate imaging reporting and data system category 3 to 5 lesion on multiparametric magnetic resonance imaging was paired with its corresponding pathological tumor focus. Univariable and multivariable analyses were performed to determine predictors of tumor visibility. RESULTS: Of the 83 tumor foci identified 26 (31%) were visible on multiparametric magnetic resonance imaging, 33 (40%) were Gleason score 3+3 and 50 (60%) were Gleason score 3+4 or greater. Among tumor foci containing Gleason pattern 4, increasing tumor size and noncribriform predominant architecture were the only independent predictors of tumor detection on multivariable analysis (p = 0.002 and p = 0.011, respectively). For tumor foci containing Gleason pattern 4, 0.5 cm or greater, multiparametric magnetic resonance imaging detected 10 of 13 (77%), 5 of 14 (36%) and 9 of 10 (90%) for poorly formed, cribriform and fused architecture, respectively (p = 0.01). The size threshold for the detection of cribriform tumors was higher than that of other architectural patterns. Furthermore, cribriform pattern was identified more frequently on systematic biopsy than on targeted biopsy. CONCLUSIONS: Reduced visibility of cribriform pattern on multiparametric magnetic resonance imaging has significant ramifications for prostate cancer detection, surveillance and focal therapy.

Comparison of Multi-Parametric MRI of the Prostate to 3D Prostate Computer Aided Designs and 3D-Printed Prostate Models for Pre-Operative Planning of Radical Prostatectomies: A Pilot Study.

OBJECTIVE: To evaluate the use of 3D computed aided designs and 3D-printed models as pre-operative planning tools for urologists, in addition to radiologist interpreted mp-MRIS, prior to radical prostatectomy procedures. METHODS: Ten patients with biopsy-positive lesions detected on mp-MRI were retrospectively selected. Radiologists identified lesion locations using a Prostate Imaging-Reporting and Data System (PI-RADS) map and segmented the prostate, lesion(s), and surrounding anatomy to create 3D-CADs and 3D-printed models for each patient. 6 uro-oncologists randomly reviewed three modalities (mp-MRI, 3D-CAD, and 3D-printed models) for each patient and identified lesion locations which were graded for accuracy against the radiologists' answers. Questionnaires assessed decision confidence, ease-of-interpretation, and usefulness for preoperative planning for each modality. RESULTS: Using 3D-CADs and 3D-printed models compared to mp-MRI, urologists were 2.4x and 2.8x more accurate at identifying the lesion(s), 2.7x and 3.2x faster, 1.6x and 1.63x more confident, and reported it was 1.6x and 1.7x easier to interpret. 3D-CADs and 3D-printed models were reported significantly more useful for overall pre-operative planning, identifying lesion location(s), determining degree of nerve sparing, obtaining negative margins, and patient counseling. Sub-analysis showed 3D-printed models demonstrated significant improvements in ease-of-interpretation, speed, usefulness for obtaining negative margins, and patient counseling compared to 3D-CADs. CONCLUSION: 3D-CADs and 3D-printed models are useful adjuncts to mp-MRI in providing urologists with more practical, accurate, and efficient pre-operative planning.

Cribriform pattern and perineural invasion on MR/US fusion biopsy predict failure of selection criteria for prostatic hemigland ablation.

OBJECTIVES: To assess clinicopathologic factors on MR/US fusion biopsy that might predict failure of theoretical selection criteria for prostatic hemigland ablation (HA). SUBJECTS AND METHODS: A retrospectively maintained single institution multiparametric MRI database (n = 1667) was queried to identify 355 patients who underwent MR/US fusion biopsy, including both targeted biopsy and concurrent systematic biopsy from December 1, 2014 to June 1, 2018. Clinical, pathological, and imaging variables were assessed on fusion biopsy (Table 1) to determine who met theoretical selection criteria for HA, defined as unilateral intermediate-risk prostate cancer per NCCN criteria (Grade Group [GG] 2 or 3 with prostate-specific antigen <20) and no evidence of extraprostatic extension (EPE) on multiparametric MRI. Predictors of selection criteria failure were then assessed in patients who also underwent radical prostatectomy (RP). Failure of the theoretical HA selection criteria was defined as presence of GG ≧ 2 on the contralateral (untreated) side, or the presence of high-risk disease (any GG ≧ 4 or EPE) in the RP specimen. RESULTS: Of the 355 patients who underwent fusion biopsy, 84 patients met the theoretical selection criteria for HA. Of those patients eligible, 54 underwent RP, 37 (68.5%) of which represented unsuccessful HA selection criteria. Patients no longer met HA selection criteria on the basis of upgrading alone in 6/54 (11.1%), EPE alone in 9/54 (16.7%), bilateral GG 2 or 3 in 16/54 (29.6%) or combined EPE and bilateral GG 2 or 3 in 6/54 (11.1%) cases. In the HA selection failures due to upgrading, three also had EPE, one of whom also had missed contralateral GG ≧ 2 disease. The only factor independently associated with HA failure was any presence of cribriform pattern (HR 7.01, P = 0.021). Perineural invasion on systematic biopsyalso appeared to improve the performance of our multivariable model (HR 5.33, P = 0.052), though it was not statistically significant when using a cutoff of <0.05. Accuracy for predicting successful HA was 0.32 and improved to 0.74 if PNI or cribriform were excluded and 0.84 if both were excluded. CONCLUSIONS: In a retrospective analysis of RP patients who underwent preoperative MRI/US fusion biopsy, current selection criteria for prostatic HA based on NCCN intermediate-risk stratification failed to accurately identify appropriate candidates in 68.5% of patients. Cribriform pattern and PNI detected on biopsy reduced the failure of hemigland selection criteria to 43%. These criteria should be routinely reported on biopsy pathology and taken into consideration when selecting patients for HA in prospective clinical trials.

Multi-institutional Clinical Tool for Predicting High-risk Lesions on 3Tesla Multiparametric Prostate Magnetic Resonance Imaging.

BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI) for prostate cancer detection without careful patient selection may lead to excessive resource utilization and costs. OBJECTIVE: To develop and validate a clinical tool for predicting the presence of high-risk lesions on mpMRI. DESIGN, SETTING, AND PARTICIPANTS: Four tertiary care centers were included in this retrospective and prospective study (BiRCH Study Collaborative). Statistical models were generated using 1269 biopsy-naive, prior negative biopsy, and active surveillance patients who underwent mpMRI. Using age, prostate-specific antigen, and prostate volume, a support vector machine model was developed for predicting the probability of harboring Prostate Imaging Reporting and Data System 4 or 5 lesions. The accuracy of future predictions was then prospectively assessed in 214 consecutive patients. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Receiver operating characteristic, calibration, and decision curves were generated to assess model performance. RESULTS AND LIMITATIONS: For biopsy-naïve and prior negative biopsy patients (n=811), the area under the curve (AUC) was 0.730 on internal validation. Excellent calibration and high net clinical benefit were observed. On prospective external validation at two separate institutions (n=88 and n=126), the machine learning model discriminated with AUCs of 0.740 and 0.744, respectively. The final model was developed on the Microsoft Azure Machine Learning platform (birch.azurewebsites.net). This model requires a prostate volume measurement as input. CONCLUSIONS: In patients who are naïve to biopsy or those with a prior negative biopsy, BiRCH models can be used to select patients for mpMRI. PATIENT SUMMARY: In this multicenter study, we developed and prospectively validated a calculator that can be used to predict prostate magnetic resonance imaging (MRI) results using patient age, prostate-specific antigen, and prostate volume as input. This tool can aid health care professionals and patients to make an informed decision regarding whether to get an MRI.

Institutional Learning Curve Associated with Implementation of a Magnetic Resonance/Transrectal Ultrasound Fusion Biopsy Program Using PI-RADS™ Version 2: Factors that Influence Success.

INTRODUCTION: We assessed the institutional learning curve associated with adopting fusion biopsy using PI-RADS™ (Prostate Imaging-Reporting and Data System) Version 2 (v2) to detect clinically significant prostate cancer, defined as Gleason 7 or greater in men with prior negative biopsies, and identified patient and technical factors that predict success in detecting clinically significant prostate cancer. METHODS: A total of 113 consecutive patients with at least 1 prior negative biopsy and multiparametric magnetic resonance imaging examination of the prostate with a PI-RADS 3 or greater index lesion underwent fusion biopsy at a single academic center previously naïve to fusion biopsy technology. Outcomes include detection rates for Gleason 6 cancer, clinically significant prostate cancer and any cancer. Multiple logistic regression with model selection was used to select covariates having significant effects on the outcome. RESULTS: Prostate cancer was identified in 52% of patients with prior negative prostate biopsies. Among the patients diagnosed with prostate cancer 80% had clinically significant cancer. The clinically significant prostate cancer detection rates using fusion biopsy when a PI-RADS 3, 4 or 5 index lesion was present on multiparametric magnetic resonance imaging were 6%, 46% and 66%, respectively. PI-RADS v2 score had a predictive accuracy (AUC) of 0.79 for clinically significant prostate cancer detection. Institutional experience over time, magnetic resonance imaging estimated prostate volume and PI-RADS v2 score were independent predictors of clinically significant prostate cancer using fusion biopsy. CONCLUSIONS: Since fusion biopsy is a highly technique driven process, development of internal quality measures to assess the institutional learning curve and the quality of PI-RADS v2 scoring is critical with the adoption of this technology.

Multiparametric Magnetic Resonance Imaging of Recurrent Prostate Cancer.

Multiparametric magnetic resonance (MR) imaging of the prostate combines both morphological and functional MR techniques by utilizing small field of view T1-weighted, T2-weighted, diffusion-weighted imaging, dynamic contrast-enhanced imaging, and MR spectroscopy to accurately detect, localize, and stage primary and recurrent prostate cancer. Localizing the site of recurrence in patients with rising prostate-specific antigen following treatment affects decision making regarding treatment and can be accomplished with multiparametric prostate MR. Several different treatment options are available for prostate cancer including radical prostatectomy, external beam radiation therapy, brachytherapy, androgen deprivation therapy, or a number of focal therapy techniques. The findings of recurrent prostate cancer can be different depending on the treatment the patient has received, and the radiologist must be able to recognize the variety of imaging findings seen with this common disease. This review article will detail the findings of recurrent prostate cancer on multiparametric MR and describe common posttreatment changes which may create challenges to accurate interpretation.

Imaging of the spine in sports medicine.

Much controversy exists surrounding the utility of plain film, computed tomography, magnetic resonance imaging (MRI), and bone scintigraphy in the evaluation of sports-related spine injuries. The articles reviewed here offer several different perspectives. Cervical spine radiography, return-to-play criteria following cervical trauma, lumbar pain and pars injuries, utility of MRI in acute sports injuries, and sports-specific injuries are reviewed. The relationship between bone mineral density and sports activity is also reviewed.

Stress reactions of the lumbar pars interarticularis: the development of a new MRI classification system.

STUDY DESIGN: In a retrospective study, multiple examiners reviewed lumbar magnetic resonance imaging scans to develop a new grading system for lumbar pars interarticularis stress reaction and spondylolysis. The resulting system can be used as a mechanism for classifying patients, and as a measurement tool for future studies assessing the outcome efficacy of lumbar magnetic resonance imaging in patients with abnormalities of the pars interarticularis. OBJECTIVE: To determine the reliability of patient assignment to five different grades of bone stress reaction involving the lumbar pars interarticularis. SUMMARY OF BACKGROUND DATA: Injury to the lumbar pars interarticularis (spondylolysis) is reported to be a common cause of low back pain in young patients. High-field-strength magnetic resonance imaging using fat saturation techniques and dedicated coil technology is sensitive in detecting bone stress injuries of the lumbar pars interarticularis, and thus is an excellent method for diagnosis. It also may be useful in prognostic decision making for these patients. A reliable classification system is a fundamental requirement for performing the research assessing the relationship between lumbar MRI findings and prognosis. METHODS: For this study, 55 young athletic patients undergoing evaluation for low back pain with suspected stress injury to the lumbar pars interarticularis underwent standardized lumbar magnetic resonance imaging using a 1.5-T scanner. Magnetic resonance images were reviewed by three readers using a new magnetic resonance classification system developed for lumbar spondylolysis. The findings were assessed for both interobserver and intraobserver reliability for five possible combinations in a 5-grade classification system. RESULTS: On magnetic resonance imaging, 42% of the patients demonstrated signal abnormalities of the lumbar pars interarticularis. The intraobserver and interobserver reliability coefficients for assigning the grade of pars interarticularis abnormality ranged, respectively, from 0.766 (95% confidence interval [CI], 0.62-0.91) to 0.906 (95% CI, 0.80-1), and from 0.706 (95% CI, 0.55-0.86) to 1. CONCLUSIONS: Magnetic resonance findings of stress reactions and spondylolysis of the lumbar pars interarticularis can be reliably classified into five grades by experienced readers. Further study is needed to determine the role of these findings in the management of young athletic patients with low back pain.