Literature DB >> 28941924

Risk Stratification of Equivocal Lesions on Multiparametric Magnetic Resonance Imaging of the Prostate.

Tim Ullrich1, Michael Quentin1, Christian Arsov2, Anna Katharina Schmaltz1, Alexander Tschischka1, Nina Laqua1, Andreas Hiester1, Dirk Blondin1, Robert Rabenalt1, Peter Albers1, Gerald Antoch1, Lars Schimmöller1.   

Abstract

PURPOSE: We systematically analyzed the records of patients with PI-RADS™ (Prostate Imaging Reporting and Data System) 3 lesions, which are called equivocal according to PI-RADS version 2, using prostate multiparametric magnetic resonance imaging and magnetic resonance imaging targeted biopsies. Systematic transrectal ultrasound guided biopsies served as the reference standard.
MATERIALS AND METHODS: A total of 120 consecutive patients were retrospectively included in the study. In these patients the overall PI-RADS score was 3 after 3 Tesla T2-weighted imaging, diffusion weighted imaging and dynamic contrast enhanced multiparametric magnetic resonance imaging as well as subsequent targeted magnetic resonance imaging/ultrasound fusion guided biopsies plus systematic 12-core transrectal ultrasound guided biopsies. The study end points were the prostate cancer detection rate, the Gleason score distribution, the prostate cancer location and risk stratification by subgroup analyses.
RESULTS: Prostate cancer was detected in 13 of 118 patients for a detection rate of 11%, including 5 patients (4.2%) with a Gleason score of 3 + 4 = 7 or greater. Three of the 212 lesions (1.4%) in the transition zone and 6 of the 64 (9.4%) in the peripheral zone were positive for prostate cancer. Multiparametric magnetic resonance imaging revealed patterns of peripheral prostatitis combined with diffuse stromal hyperplasia in 54% of the patients with prostate cancer. Prostate volume was significantly lower in patients with prostate cancer (p = 0.015) but differences in prostate specific antigen levels were not statistically significant (p = 0.87). Prostate specific antigen density was higher in patients with prostate cancer (0.19 vs 0.12 ng/ml/ml).
CONCLUSIONS: Low grade prostate cancer (Gleason score 3 + 3 = 6) can develop in patients with an overall PI-RADS score of 3. Prostate cancer with a Gleason score of 3 + 4 = 7 or greater can be detected by multiparametric magnetic resonance imaging with a high degree of certainty. Gleason score 4 + 3 = 7 or greater prostate cancer is unlikely in PI-RADS 3 lesions. Therefore, these patients should primarily undergo followup multiparametric magnetic resonance imaging. In patients with a combination of multiparametric magnetic resonance imaging aspects of extensive prostatitis and diffuse stromal hyperplasia low prostate volume and/or high prostate specific antigen density biopsy might be considered.
Copyright © 2018 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  diagnostic imaging; image-guided biopsy; magnetic resonance imaging; prostatic neoplasms; ultrasonography

Mesh:

Year:  2017        PMID: 28941924     DOI: 10.1016/j.juro.2017.09.074

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  11 in total

Review 1.  Arguments against using an abbreviated or biparametric prostate MRI protocol.

Authors:  Felipe B Franco; Fiona M Fennessy
Journal:  Abdom Radiol (NY)       Date:  2020-12

2.  Perspective: a critical assessment of PI-RADS 2.1.

Authors:  T Ullrich; L Schimmöller
Journal:  Abdom Radiol (NY)       Date:  2020-12

Review 3.  Serum PSA-based early detection of prostate cancer in Europe and globally: past, present and future.

Authors:  Hendrik Van Poppel; Tit Albreht; Partha Basu; Renée Hogenhout; Sarah Collen; Monique Roobol
Journal:  Nat Rev Urol       Date:  2022-08-16       Impact factor: 16.430

4.  New Diagnostic Model for Clinically Significant Prostate Cancer in Biopsy-Naïve Men With PIRADS 3.

Authors:  Chen Huang; Feng Qiu; Di Jin; Xuedong Wei; Zongxin Chen; Ximing Wang; Xiaojun Zhao; Linchuan Guo; Jinxian Pu; Jianquan Hou; Yuhua Huang
Journal:  Front Oncol       Date:  2022-07-04       Impact factor: 5.738

5.  Combining clinical and MRI data to manage PI-RADS 3 lesions and reduce excessive biopsy.

Authors:  Shuo Yang; Wenlu Zhao; Shuangxiu Tan; Yueyue Zhang; Chaogang Wei; Tong Chen; Junkang Shen
Journal:  Transl Androl Urol       Date:  2020-06

6.  When to biopsy Prostate Imaging and Data Reporting System version 2 (PI-RADSv2) assessment category 3 lesions? Use of clinical and imaging variables to predict cancer diagnosis at targeted biopsy.

Authors:  Christopher S Lim; Jorge Abreu-Gomez; Michel-Alexandre Leblond; Ivan Carrion; Danny Vesprini; Nicola Schieda; Laurence Klotz
Journal:  Can Urol Assoc J       Date:  2021-04       Impact factor: 1.862

7.  Detection rate of clinically significant prostate cancer in magnetic resonance imaging and ultrasonography-fusion transperineal targeted biopsy for lesions with a prostate imaging reporting and data system version 2 score of 3-5.

Authors:  Yuji Hakozaki; Hisashi Matsushima; Taro Murata; Tomoko Masuda; Yoko Hirai; Mai Oda; Nobuo Kawauchi; Munehiro Yokoyama; Haruki Kume
Journal:  Int J Urol       Date:  2018-11-21       Impact factor: 3.369

8.  Equivocal PI-RADS Three Lesions on Prostate Magnetic Resonance Imaging: Risk Stratification Strategies to Avoid MRI-Targeted Biopsies.

Authors:  Daniël F Osses; Christian Arsov; Lars Schimmöller; Ivo G Schoots; Geert J L H van Leenders; Irene Esposito; Sebastiaan Remmers; Peter Albers; Monique J Roobol
Journal:  J Pers Med       Date:  2020-12-10

Review 9.  Magnetic resonance imaging-guided prostate biopsy-A review of literature.

Authors:  Kulthe Ramesh Seetharam Bhat; Srinivas Samavedi; Marcio Covas Moschovas; Fikret Fatih Onol; Shannon Roof; Travis Rogers; Vipul R Patel; Ananthakrishnan Sivaraman
Journal:  Asian J Urol       Date:  2020-07-28

10.  Utility of T2-weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter study.

Authors:  Gabriel A Nketiah; Mattijs Elschot; Tom W Scheenen; Marnix C Maas; Tone F Bathen; Kirsten M Selnæs
Journal:  Sci Rep       Date:  2021-01-22       Impact factor: 4.379

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