Literature DB >> 30995090

Detection and Localization of Prostate Cancer at 3-T Multiparametric MRI Using PI-RADS Segmentation.

Pornphan Wibulpolprasert1, Steven S Raman2,3, William Hsu2, Daniel J A Margolis2, Nazanin H Asvadi2, Pooria Khoshnoodi2, Amin Moshksar2, Nelly Tan2, Preeti Ahuja2, Cleo K Maehara2, Jiaoti Huang4, James Sayre2, David S K Lu2, Robert E Reiter3.   

Abstract

OBJECTIVE. The purpose of this study is to determine the overall and sector-based performance of 3-T multiparametric MRI for prostate cancer (PCa) detection and localization by using Prostate Imaging-Reporting and Data System version 2 (PI-RADSv2) scoring and segmentation compared with whole-mount histopathologic analysis. MATERIALS AND METHODS. Multiparametric 3-T MRI examinations of 415 consecutive men were compared with thin-section whole-mount histopathologic analysis. A genitourinary radiologist and pathologist collectively determined concordance. Two radiologists assigned PI-RADSv2 categories and sectoral location to all detected foci by consensus. Tumor detection rates were calculated for clinical and pathologic (Gleason score) variables. Both rigid and adjusted sector-matching models were used to account for fixation-related issues. RESULTS. The 415 patients had 863 PCa foci (52.7% had a Gleason score ≥ 7, 61.9% were ≥ 1 cm, and 90.4% (375/415) of index lesions were ≥ 1 cm) and 16,185 prostate sectors. Multiparametric MRI enabled greater detection of PCa lesions 1 cm or larger (all lesions vs index lesions, 61.6% vs 81.6%), lesions with Gleason score greater than or equal to 7 (all lesions vs index lesions, 71.4% vs 80.9%), and index lesions with both Gleason score greater than or equal to 7 and size 1 cm or larger (83.3%). Higher sensitivity was obtained for adjusted versus rigid tumor localization for all lesions (56.0% vs 28.5%), index lesions (55.4% vs 34.3%), lesions with Gleason score greater than or equal to 7 (55.7% vs 36.0%), and index lesions 1 cm or larger (56.1% vs 35.0%). Multiparametric 3-T MRI had similarly high specificity (96.0-97.9%) for overall and index tumor localization with adjusted and rigid sector-matching approaches. CONCLUSION. Using 3-T multiparametric MRI and PI-RADSv2, we achieved the highest sensitivity (83.3%) for the detection of lesions 1 cm or larger with Gleason score greater than or equal to 7. Sectoral localization of PCa within the prostate was moderate and was better with an adjusted model than with a rigid model.

Entities:  

Keywords:  localization; multiparametric MRI; prostate cancer detection; prostatectomy

Year:  2019        PMID: 30995090     DOI: 10.2214/AJR.18.20113

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  2 in total

1.  The diagnostic accuracy of multiparametric MRI for detection and localization of prostate cancer depends on the affected region.

Authors:  Martina Martins; Stefano Regusci; Stephane Rohner; Ildiko Szalay-Quinodoz; Georges-Antoine De Boccard; Louise Strom; Gerjon Hannink; Sonia Ramos-Pascual; Charles Henry Rochat
Journal:  BJUI Compass       Date:  2020-11-28

2.  Assessment of the Minimal Targeted Biopsy Core Number per MRI Lesion for Improving Prostate Cancer Grading Prediction.

Authors:  Guillaume Ploussard; Jean-Baptiste Beauval; Raphaële Renard-Penna; Marine Lesourd; Cécile Manceau; Christophe Almeras; Jean-Romain Gautier; Guillaume Loison; Daniel Portalez; Ambroise Salin; Michel Soulié; Christophe Tollon; Bernard Malavaud; Mathieu Roumiguié
Journal:  J Clin Med       Date:  2020-01-15       Impact factor: 4.241

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.