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PI-RADS provided the site-specific stratified risk of cancer-positive cores in biopsy-naive men with normal DRE results and elevated PSA levels. There was no significant difference between summed PI-RADS scores of 9 or greater and Likert scale scores of 3 or greater in the detection of cancer in the peripheral zone.

Accuracy of multiparametric MRI has greatly improved the ability of localizing tumor foci of prostate cancer. This property can be used to perform a TRUS-MR image registration, new technological advance, which allows for an overlay of an MRI onto a TRUS image to target a prostate biopsy toward a suspicious area Three types of registration have been developed: cognitive-based, sensor-based, and organ-based registration. Cognitive registration consists of aiming a suspicious area during biopsy with the knowledge of the lesion location identified on multiparametric MRI. Sensor-based registration consists of tracking in real time the TRUS probe with a magnetic device, achieving a global positioning system which overlays in real-time prostate image on both modalities. Its main limitation is that it does not take into account prostate and patient motion during biopsy. Two systems (Artemis and Uronav) have been developed to partially circumvent this drawback. Organ-based registration (Koelis) does not aim to track the TRUS probe, but the prostate itself to compute in a 3D acquisition the TRUS prostate shape, allowing for a registration with the corresponding 3D MRI shape. This system is not limited by prostate/patient motion and allows for a deformation of the organ during registration. Pros and cons of each technique and the rationale for a targeted biopsy only policy are discussed.

Purpose To measure the precision in placement of a biopsy needle in a magnetic resonance (MR) imaging-detected target with transrectal ultrasonography (US), to document the clinical relevance of precision, and to report on the precision of cognitive and software-based registrations. Materials and Methods This prospective study was approved by the institutional review board and performed between June 2013 and September 2013. Patients provided informed verbal consent. Two cores each were obtained with cognitive and fusion techniques in 88 patients with a Prostate Imaging Reporting and Data System version 1 score of at least 3. Precision was measured with Euclidian geometry by using the Digital Imaging and Communications in Medicine archives of the biopsy as the distance from the core to the center (dCC) and the distance from the core to the surface of the target modeled as a sphere. To address clustering of data from multiple cores in the same patients, analyses of precision focused on the best shot for a patient or a technique. The Welch unequal variance t test and Yates corrected χ test were used as appropriate. Results Mean precision was 2.5 mm (95% confidence interval: 1.8 mm, 3.3 mm). Positive cores were closer to the center than were negative cores (dCC: 1.7 mm vs 3.1 mm, respectively; P = .025). More cancers were detected with on-target than off-target cores (33 of 71 cores [46.5%] vs three of 17 cores [17.6%]; P = .03). Cores obtained with the fusion technique achieved a higher precision than did cores obtained with the cognitive technique (dCC: 2.8 mm vs 7.1 mm, respectively; P < .0001). Targeted cores demonstrated cancer in 44 patients. Fewer cancers were detected with the cognitive technique than with the fusion technique (31 of 44 patients [70.5%] vs 40 of 44 patients [90.9%]; P = .03). Conclusion A deformable MR imaging/transrectal US image registration system achieved a higher precision and depicted cancer in more patients than did the cognitive freehand technique. RSNA, 2018.