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      Prospective comparison of PI-RADS version 2 and qualitative in-house categorization system in detection of prostate cancer : Prospective Comparison of PI-RADSv2

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          Abstract

          <div class="section"> <a class="named-anchor" id="S1"> <!-- named anchor --> </a> <h5 class="section-title" id="d84047e263">Background</h5> <p id="P2">Prostate Imaging-Reporting and Data System version 2 (PI-RADSv2) provides standardized nomenclature for interpretation of prostate multiparametric MRI (mpMRI). Inclusion of additional features for categorization may provide benefit to stratification of disease. </p> </div><div class="section"> <a class="named-anchor" id="S2"> <!-- named anchor --> </a> <h5 class="section-title" id="d84047e268">Purpose</h5> <p id="P3">To prospectively compare PI-RADSv2 to a qualitative in-house system for detecting prostate cancer on mpMRI. </p> </div><div class="section"> <a class="named-anchor" id="S3"> <!-- named anchor --> </a> <h5 class="section-title" id="d84047e273">Study Type</h5> <p id="P4">Prospective</p> </div><div class="section"> <a class="named-anchor" id="S4"> <!-- named anchor --> </a> <h5 class="section-title" id="d84047e278">Population</h5> <p id="P5">338 patients who underwent mpMRI May 2015–May 2016, with subsequent MRI/transrectal ultrasound fusion-guided biopsy. </p> </div><div class="section"> <a class="named-anchor" id="S5"> <!-- named anchor --> </a> <h5 class="section-title" id="d84047e283">Field Strength</h5> <p id="P6">3T mpMRI [T2W, DWI (ADC map, <i>b</i>-2000 DWI acquisition), and DCE MRI]. </p> </div><div class="section"> <a class="named-anchor" id="S6"> <!-- named anchor --> </a> <h5 class="section-title" id="d84047e291">Assessment</h5> <p id="P7">One genitourinary radiologist prospectively read mpMRIs using both in-house and PI-RADSv2 5-category systems. </p> </div><div class="section"> <a class="named-anchor" id="S7"> <!-- named anchor --> </a> <h5 class="section-title" id="d84047e296">Statistical Test</h5> <p id="P8">In lesion-based analysis, overall and clinically significant (CS) tumor detection rates (TDR) were calculated for all PI-RADSv2 and in-house categories. Ability of each scoring system to detect cancer was assessed by area under receiver operator characteristic curve (AUC). Within each PI-RADSv2 category, lesions were further stratified by their in-house categories to determine if TDRs can be increased by combining features of both systems. </p> </div><div class="section"> <a class="named-anchor" id="S8"> <!-- named anchor --> </a> <h5 class="section-title" id="d84047e301">Results</h5> <p id="P9">In 338 patients (median PSA 6.5[0.6–113.6] ng/mL; age 64[44–84] years), 733 lesions were identified (47% tumor-positive). Predictive abilities of both systems were comparable for all (AUC 76–78%) and CS cancers (AUCs 79%). The in-house system had higher overall and CS TDRs than PI-RADSv2 for categories 3 and 4 (p&lt;0.01 for both), with the greatest difference between the scoring systems seen in lesions scored category 4 (CS TDRs: in-house 65%, PI-RADSv2 22.1%). For lesions categorized as PI-RADSv2=4, characterization of suspicious/indeterminate EPE and equivocal findings across all mpMRI sequences contributed to significantly different TDRs for both systems (TDR range 19–75%, p&lt;0.05). </p> </div><div class="section"> <a class="named-anchor" id="S9"> <!-- named anchor --> </a> <h5 class="section-title" id="d84047e306">Data Conclusion</h5> <p id="P10">PI-RADSv2 behaves similarly to an existing validated system which relies on the number of sequences on which a lesion is seen. This prospective evaluation suggests that sequence positivity and suspicion of EPE can enhance PI-RADSv2 category 4 cancer detection. </p> </div>

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          Influence of imaging and histological factors on prostate cancer detection and localisation on multiparametric MRI: a prospective study.

          To assess factors influencing prostate cancer detection on multiparametric (T2-weighted, diffusion-weighted, and dynamic contrast-enhanced) MRI.
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            Prostate cancer: can multiparametric MR imaging help identify patients who are candidates for active surveillance?

            To determine whether multiparametric magnetic resonance (MR) imaging can help identify patients with prostate cancer who would most appropriately be candidates for active surveillance (AS) according to current guidelines and to compare the results with those of conventional clinical assessment scoring systems, including the D'Amico, Epstein, and Cancer of the Prostate Risk Assessment (CAPRA) systems, on the basis of findings at prostatectomy.
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              Improving detection of clinically significant prostate cancer: magnetic resonance imaging/transrectal ultrasound fusion guided prostate biopsy.

              Given the limitations of prostate specific antigen and standard biopsies for detecting prostate cancer, we evaluated the cancer detection rate and external validity of a magnetic resonance imaging/transrectal ultrasound fusion guided prostate biopsy system used at the National Institutes of Health.
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                Author and article information

                Journal
                Journal of Magnetic Resonance Imaging
                J. Magn. Reson. Imaging
                Wiley
                10531807
                November 2018
                November 2018
                March 31 2018
                : 48
                : 5
                : 1326-1335
                Affiliations
                [1 ]Molecular Imaging Program, National Cancer Institute, NIH; Bethesda Maryland USA
                [2 ]Clinical Research Directorate/Clinical Monitoring Research Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research; Frederick Maryland 21702
                [3 ]Urologic Oncology Branch; National Cancer Institute, NIH; Bethesda Maryland USA
                [4 ]Department of Pathology; National Cancer Institute, NIH; Bethesda Maryland USA
                [5 ]Center for Interventional Oncology, Clinical Center, NIH; Bethesda Maryland USA
                [6 ]Biometric Research Branch, National Cancer Institute, NIH; Bethesda Maryland USA
                Article
                10.1002/jmri.26025
                6167212
                29603833
                0dc3cc68-10ee-4db1-9aec-48537cd454ad
                © 2018

                http://doi.wiley.com/10.1002/tdm_license_1.1

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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