Literature DB >> 27574821

Diagnostic Pathway with Multiparametric Magnetic Resonance Imaging Versus Standard Pathway: Results from a Randomized Prospective Study in Biopsy-naïve Patients with Suspected Prostate Cancer.

Francesco Porpiglia1, Matteo Manfredi2, Fabrizio Mele2, Marco Cossu2, Enrico Bollito3, Andrea Veltri4, Stefano Cirillo5, Daniele Regge6, Riccardo Faletti7, Roberto Passera8, Cristian Fiori2, Stefano De Luca2.   

Abstract

BACKGROUND: An approach based on multiparametric magnetic resonance imaging (mpMRI) might increase the detection rate (DR) of clinically significant prostate cancer (csPCa).
OBJECTIVE: To compare an mpMRI-based pathway with the standard approach for the detection of prostate cancer (PCa) and csPCa. DESIGN, SETTING, AND PARTICIPANTS: Between November 2014 and April 2016, 212 biopsy-naïve patients with suspected PCa (prostate specific antigen level ≤15 ng/ml and negative digital rectal examination results) were included in this randomized clinical trial. Patients were randomized into a prebiopsy mpMRI group (arm A, n=107) or a standard biopsy (SB) group (arm B, n=105). INTERVENTION: In arm A, patients with mpMRI evidence of lesions suspected for PCa underwent mpMRI/transrectal ultrasound fusion software-guided targeted biopsy (TB) (n=81). The remaining patients in arm A (n=26) with negative mpMRI results and patients in arm B underwent 12-core SB. OUTCOMES MEASUREMENTS AND STATISTICAL ANALYSIS: The primary end point was comparison of the DR of PCa and csPCa between the two arms of the study; the secondary end point was comparison of the DR between TB and SB. RESULTS AND LIMITATIONS: The overall DRs were higher in arm A versus arm B for PCa (50.5% vs 29.5%, respectively; p=0.002) and csPCa (43.9% vs 18.1%, respectively; p<0.001). Concerning the biopsy approach, that is, TB in arm A, SB in arm A, and SB in arm B, the overall DRs were significantly different for PCa (60.5% vs 19.2% vs 29.5%, respectively; p<0.001) and for csPCa (56.8% vs 3.8% vs 18.1%, respectively; p<0.001). The reproducibility of the study could have been affected by the single-center nature.
CONCLUSIONS: A diagnostic pathway based on mpMRI had a higher DR than the standard pathway in both PCa and csPCa. PATIENT
SUMMARY: In this randomized trial, a pathway for the diagnosis of prostate cancer based on multiparametric magnetic resonance imaging (mpMRI) was compared with the standard pathway based on random biopsy. The mpMRI-based pathway had better performance than the standard pathway.
Copyright © 2016 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diagnosis; Magnetic resonance imaging; Prostate cancer; Systematic random biopsy; Targeted biopsy

Mesh:

Substances:

Year:  2016        PMID: 27574821     DOI: 10.1016/j.eururo.2016.08.041

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  49 in total

1.  Role of MRI for the detection of prostate cancer.

Authors:  Richard C Wu; Amir H Lebastchi; Boris A Hadaschik; Mark Emberton; Caroline Moore; Pilar Laguna; Jurgen J Fütterer; Arvin K George
Journal:  World J Urol       Date:  2021-01-04       Impact factor: 4.226

2.  Prediction of prostate cancer by deep learning with multilayer artificial neural network.

Authors:  Takumi Takeuchi; Mami Hattori-Kato; Yumiko Okuno; Satoshi Iwai; Koji Mikami
Journal:  Can Urol Assoc J       Date:  2018-10-15       Impact factor: 1.862

Review 3.  Arguments against using an abbreviated or biparametric prostate MRI protocol.

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

4.  How to make clinical decisions to avoid unnecessary prostate screening in biopsy-naïve men with PI-RADs v2 score ≤ 3?

Authors:  Yu Zhang; Na Zeng; FengBo Zhang; YangXinRui Huang; Ye Tian
Journal:  Int J Clin Oncol       Date:  2019-08-31       Impact factor: 3.402

5.  A Novel Prediction Tool Based on Multiparametric Magnetic Resonance Imaging to Determine the Biopsy Strategy for Clinically Significant Prostate Cancer in Patients with PSA Levels Less than 50 ng/ml.

Authors:  Bi-Ming He; Zhen-Kai Shi; Hu-Sheng Li; Heng-Zhi Lin; Qing-Song Yang; Jian-Ping Lu; Ying-Hao Sun; Hai-Feng Wang
Journal:  Ann Surg Oncol       Date:  2019-12-17       Impact factor: 5.344

Review 6.  PI-RADS Steering Committee: The PI-RADS Multiparametric MRI and MRI-directed Biopsy Pathway.

Authors:  Anwar R Padhani; Jelle Barentsz; Geert Villeirs; Andrew B Rosenkrantz; Daniel J Margolis; Baris Turkbey; Harriet C Thoeny; François Cornud; Masoom A Haider; Katarzyna J Macura; Clare M Tempany; Sadhna Verma; Jeffrey C Weinreb
Journal:  Radiology       Date:  2019-06-11       Impact factor: 11.105

7.  Prostate MRI, with or without MRI-targeted biopsy, and systematic biopsy for detecting prostate cancer.

Authors:  Frank-Jan H Drost; Daniël F Osses; Daan Nieboer; Ewout W Steyerberg; Chris H Bangma; Monique J Roobol; Ivo G Schoots
Journal:  Cochrane Database Syst Rev       Date:  2019-04-25

8.  A multicentric study on accurate grading of prostate cancer with systematic and MRI/US fusion targeted biopsies: comparison with final histopathology after radical prostatectomy.

Authors:  R Diamand; M Oderda; W Al Hajj Obeid; S Albisinni; R Van Velthoven; G Fasolis; G Simone; M Ferriero; J-B Roche; T Piechaud; A Pastore; A Carbone; G Fiard; J-L Descotes; G Marra; P Gontero; E Altobelli; R Papalia; P Kumar; D Eldred-Evans; A Giacobbe; G Muto; V Lacetera; V Beatrici; T Roumeguere; A Peltier
Journal:  World J Urol       Date:  2019-01-16       Impact factor: 4.226

9.  Can Prostate Imaging Reporting and Data System Version 2 reduce unnecessary prostate biopsies in men with PSA levels of 4-10 ng/ml?

Authors:  Ning Xu; Yu-Peng Wu; Dong-Ning Chen; Zhi-Bin Ke; Hai Cai; Yong Wei; Qing-Shui Zheng; Jin-Bei Huang; Xiao-Dong Li; Xue-Yi Xue
Journal:  J Cancer Res Clin Oncol       Date:  2018-03-05       Impact factor: 4.553

10.  Prostate Imaging-Reporting and Data System Steering Committee: PI-RADS v2 Status Update and Future Directions.

Authors:  Anwar R Padhani; Jeffrey Weinreb; Andrew B Rosenkrantz; Geert Villeirs; Baris Turkbey; Jelle Barentsz
Journal:  Eur Urol       Date:  2018-06-13       Impact factor: 20.096

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