Literature DB >> 35028750

Risk-based MRI-directed diagnostic pathway outperforms non-risk-based pathways in suspected prostate cancer biopsy-naïve men: a large cohort validation study.

Leonardo Kayat Bittencourt1,2, Karolina Guricova3, Isaac Zucker4, Jared C Durieux5, Ivo G Schoots6,7.   

Abstract

OBJECTIVES: To investigate and compare the performance of different proposed diagnostic pathways in a cohort of biopsy-naïve men at risk for prostate cancer (PCa), in terms of biopsy avoidance, accurate diagnosis of clinically significant prostate cancer (csPCa), and reduction in overdiagnosis of clinically insignificant cancer (cisPCa), with particular focus on a recently suggested "risk-based" MRI-directed diagnostic pathway.
METHODS: Single-center, retrospective cohort study, including 499 biopsy-naïve men at risk for PCa. All men underwent PI-RADS-compliant prostate MRI, transrectal ultrasound fusion-guided targeted (TBx), and systematic biopsy (SBx). Five diagnostic pathways were retrospectively evaluated and compared for. Outcome measures were biopsy avoidance, combined with missed csPCa and detected cisPCa. csPCa and cisPCa were defined as ISUP grade group ≥ 2 and grade = 1, respectively. Chi-square test was used for statistical analysis. Decision curve analyses were used to compare the benefits of the pathways across a range of biopsy thresholds.
RESULTS: The prevalence (detection-focused [reference] pathway) of csPCa and cisPCa was 52.9% (264/499) and 23.0% (115/499). MRI-focused pathway (no biopsy in PI-RADS 1-2 men) did not significantly reduce ISUP ≥ 2 cancer detection (52.1% (260/499); p = 0.13), but significantly reduced ISUP 1 cancers diagnosed (20.6% (103/499); p < 0.01), and biopsy avoidance was 11.8% (59/499). The risk-based MRI-directed pathway (no biopsy in low-risk PI-RADS 1-3 men) resulted in a small reduction of ISUP ≥ 2 diagnosed (51.7% (258/499); p = 0.04), however non-significant when compared to MRI-focused pathway (p = 0.625). Moreover, the risk-based pathway further reduced detection of ISUP 1 (18.6% (93/499); p < 0.01), and biopsy avoidance was 19.2% (96/499). Decision curve analysis showed maximized net benefit of the risk-based pathway, for the range of threshold probabilities between 6.25 and 65%.
CONCLUSION: The risk-based MRI-directed pathway for prostate cancer diagnosis was optimal in balancing accurate diagnosis, reducing overdiagnosis, and maximizing biopsy avoidance. This substantial evidence should inform guideline recommendations towards using "risk-based" MRI-directed biopsy decisions in biopsy-naïve men at risk of significant prostate cancer. KEY POINTS: • Our study recognizes the added value of prostate MRI and MR-targeted biopsies in order to propose clinical diagnostic pathways for prostate cancer, towards maximizing the potential avoidance of unnecessary biopsies, while maintaining optimal detection rate of clinically significant prostate cancer. • The risk-based MRI-directed pathway incorporates risk factors such as PSA density, digital rectal examination, and family history to further refine the initial stratification of patients based on PI-RADS scores. • In this study, the risk-based pathway had the most optimal performance in terms of combination of outcomes, with the highest rate of biopsy avoidance (19.2%), while keeping a high detection rate of clinically significant prostate cancer (51.7%), when compared to the reference standard (52.9%).
© 2021. The Author(s), under exclusive licence to European Society of Radiology.

Entities:  

Keywords:  MRI-directed diagnosis pathway; Magnetic resonance; Prostate biopsy; Prostate cancer

Mesh:

Year:  2022        PMID: 35028750     DOI: 10.1007/s00330-021-08407-6

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  10 in total

1.  Decision curve analysis.

Authors:  Mark Fitzgerald; Benjamin R Saville; Roger J Lewis
Journal:  JAMA       Date:  2015-01-27       Impact factor: 56.272

2.  Analysis of Magnetic Resonance Imaging-directed Biopsy Strategies for Changing the Paradigm of Prostate Cancer Diagnosis.

Authors:  Ivo G Schoots; Anwar R Padhani; Olivier Rouvière; Jelle O Barentsz; Jonathan Richenberg
Journal:  Eur Urol Oncol       Date:  2019-11-07

3.  Standards of reporting for MRI-targeted biopsy studies (START) of the prostate: recommendations from an International Working Group.

Authors:  Caroline M Moore; Veeru Kasivisvanathan; Scott Eggener; Mark Emberton; Jurgen J Fütterer; Inderbir S Gill; Robert L Grubb Iii; Boris Hadaschik; Laurence Klotz; Daniel J A Margolis; Leonard S Marks; Jonathan Melamed; Aytekin Oto; Suzanne L Palmer; Peter Pinto; Philippe Puech; Shonit Punwani; Andrew B Rosenkrantz; Ivo G Schoots; Richard Simon; Samir S Taneja; Baris Turkbey; Osamu Ukimura; Jan van der Meulen; Arnauld Villers; Yuji Watanabe
Journal:  Eur Urol       Date:  2013-03-20       Impact factor: 20.096

Review 4.  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

5.  Avoiding Unnecessary Magnetic Resonance Imaging (MRI) and Biopsies: Negative and Positive Predictive Value of MRI According to Prostate-specific Antigen Density, 4Kscore and Risk Calculators.

Authors:  Ugo Giovanni Falagario; Alberto Martini; Ethan Wajswol; Patrick-Julien Treacy; Parita Ratnani; Ivan Jambor; Harry Anastos; Sara Lewis; Kenneth Haines; Luigi Cormio; Giuseppe Carrieri; Ardeshir R Rastinehad; Peter Wiklund; Ash Tewari
Journal:  Eur Urol Oncol       Date:  2019-09-20

6.  A urinary biomarker-based risk score correlates with multiparametric MRI for prostate cancer detection.

Authors:  Rianne J Hendriks; Marloes M G van der Leest; Siebren Dijkstra; Jelle O Barentsz; Wim Van Criekinge; Christina A Hulsbergen-van de Kaa; Jack A Schalken; Peter F A Mulders; Inge M van Oort
Journal:  Prostate       Date:  2017-08-29       Impact factor: 4.104

Review 7.  Reporting and Interpreting Decision Curve Analysis: A Guide for Investigators.

Authors:  Ben Van Calster; Laure Wynants; Jan F M Verbeek; Jan Y Verbakel; Evangelia Christodoulou; Andrew J Vickers; Monique J Roobol; Ewout W Steyerberg
Journal:  Eur Urol       Date:  2018-09-19       Impact factor: 20.096

8.  ESUR/ESUI consensus statements on multi-parametric MRI for the detection of clinically significant prostate cancer: quality requirements for image acquisition, interpretation and radiologists' training.

Authors:  Maarten de Rooij; Bas Israël; Marcia Tummers; Hashim U Ahmed; Tristan Barrett; Francesco Giganti; Bernd Hamm; Vibeke Løgager; Anwar Padhani; Valeria Panebianco; Philippe Puech; Jonathan Richenberg; Olivier Rouvière; Georg Salomon; Ivo Schoots; Jeroen Veltman; Geert Villeirs; Jochen Walz; Jelle O Barentsz
Journal:  Eur Radiol       Date:  2020-05-19       Impact factor: 5.315

9.  A simple, step-by-step guide to interpreting decision curve analysis.

Authors:  Andrew J Vickers; Ben van Calster; Ewout W Steyerberg
Journal:  Diagn Progn Res       Date:  2019-10-04

10.  Risk-adapted biopsy decision based on prostate magnetic resonance imaging and prostate-specific antigen density for enhanced biopsy avoidance in first prostate cancer diagnostic evaluation.

Authors:  Ivo G Schoots; Anwar R Padhani
Journal:  BJU Int       Date:  2020-11-13       Impact factor: 5.588

  10 in total
  1 in total

1.  Balancing the benefits and harms of MRI-directed biopsy pathways.

Authors:  Anwar R Padhani; Masoom A Haider; Olivier Rouviere
Journal:  Eur Radiol       Date:  2022-02-01       Impact factor: 7.034

  1 in total

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