Literature DB >> 28647216

Characteristics of Prostate Cancer Found at Fifth Screening in the European Randomized Study of Screening for Prostate Cancer Rotterdam: Can We Selectively Detect High-grade Prostate Cancer with Upfront Multivariable Risk Stratification and Magnetic Resonance Imaging?

Arnout R Alberts1, Ivo G Schoots2, Leonard P Bokhorst3, Frank-Jan H Drost4, Geert J van Leenders5, Gabriel P Krestin2, Roy S Dwarkasing2, Jelle O Barentsz6, Fritz H Schröder3, Chris H Bangma3, Monique J Roobol3.   

Abstract

BACKGROUND: The harm of screening (unnecessary biopsies and overdiagnosis) generally outweighs the benefit of reducing prostate cancer (PCa) mortality in men aged ≥70 yr. Patient selection for biopsy using risk stratification and magnetic resonance imaging (MRI) may improve this benefit-to-harm ratio.
OBJECTIVE: To assess the potential of a risk-based strategy including MRI to selectively identify men aged ≥70 yr with high-grade PCa. DESIGN, SETTING, AND PARTICIPANTS: Three hundred and thirty-seven men with prostate-specific antigen ≥3.0 ng/ml at a fifth screening (71-75 yr) in the European Randomized study of Screening for Prostate Cancer Rotterdam were biopsied. One hundred and seventy-nine men received six-core transrectal ultrasound biopsy (TRUS-Bx), while 158 men received MRI, 12-core TRUS-Bx, and fusion TBx in case of Prostate Imaging Reporting and Data System ≥3 lesions. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The primary outcome was the overall, low-grade (Gleason Score 3+3) and high-grade (Gleason Score ≥ 3+4) PCa rate. Secondary outcome was the low- and high-grade PCa rate detected by six-core TRUS-Bx, 12-core TRUS-Bx, and MRI ± TBx. Tertiary outcome was the reduction of biopsies and low-grade PCa detection by upfront risk stratification with the Rotterdam Prostate Cancer Risk Calculator 4. RESULTS AND LIMITATIONS: Fifty-five percent of men were previously biopsied. The overall, low-grade, and high-grade PCa rates in biopsy naïve men were 48%, 27%, and 22%, respectively. In previously biopsied men these PCa rates were 25%, 20%, and 5%. Sextant TRUS-Bx, 12-core TRUS-Bx, and MRI ± TBx had a similar high-grade PCa rate (11%, 12%, and 11%) but a significantly different low-grade PCa rate (17%, 28%, and 7%). Rotterdam Prostate Cancer Risk Calculator 4-based stratification combined with 12-core TRUS-Bx ± MRI-TBx would have avoided 65% of biopsies and 68% of low-grade PCa while detecting an equal percentage of high-grade PCa (83%) compared with a TRUS-Bx all men approach (79%).
CONCLUSIONS: After four repeated screens and ≥1 previous biopsies in half of men, a significant proportion of men aged ≥70 yr still harbor high-grade PCa. Upfront risk stratification and the combination of MRI and TRUS-Bx would have avoided two-thirds of biopsies and low-grade PCa diagnoses in our cohort, while maintaining the high-grade PCa detection of a TRUS-Bx all men approach. Further studies are needed to verify these results. PATIENT
SUMMARY: Prostate cancer screening reduces mortality but is accompanied by unnecessary biopsies and overdiagnosis of nonaggressive tumors, especially in repeatedly screened elderly men. To tackle these drawbacks screening should consist of an upfront risk-assessment followed by magnetic resonance imaging and transrectal ultrasound-guided biopsy.
Copyright © 2017 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biopsy; MRI; Multivariable risk stratification; Prostate cancer; Risk calculator; Screening

Year:  2017        PMID: 28647216     DOI: 10.1016/j.eururo.2017.06.019

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


  7 in total

Review 1.  NMR-based metabolomics studies of human prostate cancer tissue.

Authors:  Ana Rita Lima; Joana Pinto; Maria de Lourdes Bastos; Márcia Carvalho; Paula Guedes de Pinho
Journal:  Metabolomics       Date:  2018-06-18       Impact factor: 4.290

2.  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

3.  Evidence-based guideline recommendations on multiparametric magnetic resonance imaging in the diagnosis of clinically significant prostate cancer: A Cancer Care Ontario updated clinical practice guideline.

Authors:  Masoom A Haider; Judy Brown; Jospeh L K Chin; Nauthan Perlis; Nicola Schieda; Andrew Loblaw
Journal:  Can Urol Assoc J       Date:  2022-02       Impact factor: 1.862

4.  A Contemporary Prostate Biopsy Risk Calculator Based on Multiple Heterogeneous Cohorts.

Authors:  Donna P Ankerst; Johanna Straubinger; Katharina Selig; Lourdes Guerrios; Amanda De Hoedt; Javier Hernandez; Michael A Liss; Robin J Leach; Stephen J Freedland; Michael W Kattan; Robert Nam; Alexander Haese; Francesco Montorsi; Stephen A Boorjian; Matthew R Cooperberg; Cedric Poyet; Emily Vertosick; Andrew J Vickers
Journal:  Eur Urol       Date:  2018-05-16       Impact factor: 20.096

Review 5.  Stopping screening, when and how?

Authors:  Jonas Hugosson
Journal:  Transl Androl Urol       Date:  2018-02

6.  Optimal biopsy strategy for prostate cancer detection by performing a Bayesian network meta-analysis of randomized controlled trials.

Authors:  Yi Wang; Jundong Zhu; Zhiqiang Qin; Yamin Wang; Chen Chen; Yichun Wang; Xiang Zhou; Qijie Zhang; Xianghu Meng; Ninghong Song
Journal:  J Cancer       Date:  2018-06-05       Impact factor: 4.207

Review 7.  Rethinking prostate cancer screening: could MRI be an alternative screening test?

Authors:  David Eldred-Evans; Henry Tam; Heminder Sokhi; Anwar R Padhani; Mathias Winkler; Hashim U Ahmed
Journal:  Nat Rev Urol       Date:  2020-07-21       Impact factor: 14.432

  7 in total

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