Literature DB >> 30779662

Prebiopsy Biparametric MRI for Clinically Significant Prostate Cancer Detection With PI-RADS Version 2: A Multicenter Study.

Moon Hyung Choi1,2, Chan Kyo Kim3,4, Young Joon Lee1, Seung Eun Jung1.   

Abstract

OBJECTIVE: The purpose of this study was to evaluate the diagnostic performance of the Prostate Imaging Reporting and Data System version 2 (PI-RADSv2) with respect to prebiopsy MRI with and without dynamic contrast enhancement in the detection of clinically significant cancer (CSC).
MATERIALS AND METHODS: A total of 113 patients with prostate cancer who underwent radical prostatectomy and prebiopsy multiparametric 3-T MRI (mpMRI) that included T2-weighted imaging, DWI, and dynamic contrast-enhanced MRI (DCE-MRI) were enrolled in a retrospective study conducted at two institutions. For detecting CSC at prebiopsy mpMRI with DCE-MRI and biparametric MRI (bpMRI) without DCE-MRI, two independent radiologists using PI-RADSv2 scored suspicious lesions in all patients.
RESULTS: CSC was identified in 74.3% (84/113) of patients. For CSC detection rate, no statistical differences between bpMRI and mpMRI were found for any PI-RADS score (p > 0.05). For cancer in the peripheral zone, reader 1 upgraded 22 lesions and reader 2 upgraded 13 lesions from PI-RADS score 3 at bpMRI to PI-RADS 4 (3 + 1) at mpMRI. The CSC detection rate of PI-RADS 3 + 1 lesions at mpMRI (reader 1, 63.6%; reader 2, 69.2%) was slightly greater than that of PI-RADS 3 lesions at bpMRI (reader 1, 53.8%; reader 2, 60.0%), which was not statistically different (p > 0.05). Interreader agreement on PI-RADS scoring was moderate for both bpMRI (κ = 0.540) and mpMRI (κ = 0.478).
CONCLUSION: For detecting CSC, the diagnostic performance of prebiopsy bpMRI without DCE-MRI is similar to that of mpMRI with DCE-MRI.

Entities:  

Keywords:  MRI; PI-RADS; diagnosis; multicenter study; prostate cancer

Year:  2019        PMID: 30779662     DOI: 10.2214/AJR.18.20498

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


  10 in total

Review 1.  Round table: arguments in supporting abbreviated or biparametric MRI of the prostate protocol.

Authors:  Michele Scialpi; Eugenio Martorana; Pietro Scialpi; Alfredo D'Andrea; Riccardo Torre; Aldo Di Blasi; Stefano Signore
Journal:  Abdom Radiol (NY)       Date:  2020-12

2.  Biparametric prostate MRI: impact of a deep learning-based software and of quantitative ADC values on the inter-reader agreement of experienced and inexperienced readers.

Authors:  Stefano Cipollari; Martina Pecoraro; Alì Forookhi; Ludovica Laschena; Marco Bicchetti; Emanuele Messina; Sara Lucciola; Carlo Catalano; Valeria Panebianco
Journal:  Radiol Med       Date:  2022-09-17       Impact factor: 6.313

3.  Texture analysis on bi-parametric MRI for evaluation of aggressiveness in patients with prostate cancer.

Authors:  Tae Wook Baek; Seung Ho Kim; Sang Joon Park; Eun Joo Park
Journal:  Abdom Radiol (NY)       Date:  2020-08-01

4.  Impact of PI-RADS Category 3 lesions on the diagnostic accuracy of MRI for detecting prostate cancer and the prevalence of prostate cancer within each PI-RADS category: A systematic review and meta-analysis.

Authors:  Akshay Wadera; Mostafa Alabousi; Alex Pozdnyakov; Mohammed Kashif Al-Ghita; Ali Jafri; Matthew Df McInnes; Nicola Schieda; Christian B van der Pol; Jean-Paul Salameh; Lucy Samoilov; Kaela Gusenbauer; Abdullah Alabousi
Journal:  Br J Radiol       Date:  2020-10-22       Impact factor: 3.039

5.  Diagnostic Ability of Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Prostate Cancer and Clinically Significant Prostate Cancer in Equivocal Lesions: A Systematic Review and Meta-Analysis.

Authors:  Jing Zeng; Qingqing Cheng; Dong Zhang; Meng Fan; Changzheng Shi; Liangping Luo
Journal:  Front Oncol       Date:  2021-02-19       Impact factor: 6.244

6.  MRI Based Radiomics Compared With the PI-RADS V2.1 in the Prediction of Clinically Significant Prostate Cancer: Biparametric vs Multiparametric MRI.

Authors:  Tong Chen; Zhiyuan Zhang; Shuangxiu Tan; Yueyue Zhang; Chaogang Wei; Shan Wang; Wenlu Zhao; Xusheng Qian; Zhiyong Zhou; Junkang Shen; Yakang Dai; Jisu Hu
Journal:  Front Oncol       Date:  2022-01-20       Impact factor: 6.244

Review 7.  Current Status of Biparametric MRI in Prostate Cancer Diagnosis: Literature Analysis.

Authors:  Mason James Belue; Enis Cagatay Yilmaz; Asha Daryanani; Baris Turkbey
Journal:  Life (Basel)       Date:  2022-05-28

8.  Fully automated detection and localization of clinically significant prostate cancer on MR images using a cascaded convolutional neural network.

Authors:  Lina Zhu; Ge Gao; Yi Zhu; Chao Han; Xiang Liu; Derun Li; Weipeng Liu; Xiangpeng Wang; Jingyuan Zhang; Xiaodong Zhang; Xiaoying Wang
Journal:  Front Oncol       Date:  2022-09-29       Impact factor: 5.738

9.  Factors Influencing Variability in the Performance of Multiparametric Magnetic Resonance Imaging in Detecting Clinically Significant Prostate Cancer: A Systematic Literature Review.

Authors:  Armando Stabile; Francesco Giganti; Veeru Kasivisvanathan; Gianluca Giannarini; Caroline M Moore; Anwar R Padhani; Valeria Panebianco; Andrew B Rosenkrantz; Georg Salomon; Baris Turkbey; Geert Villeirs; Jelle O Barentsz
Journal:  Eur Urol Oncol       Date:  2020-03-17

10.  The role of gadolinium in magnetic resonance imaging for early prostate cancer diagnosis: A diagnostic accuracy study.

Authors:  Ilinca Cosma; Cornelia Tennstedt-Schenk; Sven Winzler; Marios Nikos Psychogios; Alexander Pfeil; Ulf Teichgraeber; Ansgar Malich; Ismini Papageorgiou
Journal:  PLoS One       Date:  2019-12-23       Impact factor: 3.240

  10 in total

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