Journal Article (Review Article)

DKFZ-2021-01778

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png A European Model for an Organised Risk-stratified Early Detection Programme for Prostate Cancer.

Van Poppel, H. ; Hogenhout, R. ; Albers, P.DKFZ* ; van den Bergh, R. C. N. ; Barentsz, J. O. ; Roobol, M. J.

2021
Elsevier Amsterdam

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Please use a persistent id in citations: doi:10.1016/j.euo.2021.06.006

Abstract: Overdiagnosis as the argument to stop prostate cancer (PCa) screening is less valid since the introduction of new technologies such as risk calculators (RCs) and magnetic resonance imaging (MRI). These new technologies result in fewer unnecessary biopsy procedures and fewer cases of both overdiagnosis and underdetection. Therefore, we can now adequately respond to the growing and urgent need for a structured risk assessment to detect PCa early.To provide expert discussion on the existing evidence for a previously published risk-stratified strategy regarding an organised population-based early detection programme for PCa.The proposed algorithm for early detection of PCa emerged from expert consensus by the authors based on available evidence derived from a nonsystematic review of the current literature using Medline/PubMed, Cochrane Library database, ClinicalTrials.gov, ISRCTN Registry, and the European Association of Urology guidelines on PCa.Although not confirmed by the highest level of evidence, current literature and guidelines point towards an algorithm for early detection of PCa that starts with risk-based prostate-specific antigen (PSA) testing, followed by multivariable risk stratification with RCs. All men who are classified to be at intermediate and high risk are then offered prostate MRI. The combined data from RCs and MRI results can be used to select men for prostate biopsy. Low-risk men return to a risk-based safety net that includes individualised PSA-interval tests and, if necessary, repeated MRI. Depending on local availability, the use of the different risk stratification tools may be adapted.We present a risk-stratified algorithm for an organised population-based early detection programme for clinically significant PCa. Although the proposed strategy has not yet been analysed prospectively, it exploits and may even improve the most important available benefits of 'PSA-only' screening studies, while at the same time reduces unnecessary biopsies and overdiagnosis by using new risk stratification tools.This paper presents a personalised strategy that enables selective early detection of prostate cancer by combining prostate-specific antigen (interval) testing' prediction models (risk calculators), and magnetic resonance imaging scans. This will likely lead to reduced prostate cancer-related morbidity and mortality, while reducing the need for prostate biopsy and limiting overdiagnosis.

Keyword(s): Active surveillance ; Early detection ; Magnetic resonance imaging ; Prostate Imaging Reporting and Data System ; Prostate cancer ; Risk calculator ; Risk stratification ; Screening

Note: 2021 Oct;4(5):731-739

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Contributing Institute(s):

1. Personalisierte Früherkennung des Prostatakarzinoms (C130)

Research Program(s):

1. 313 - Krebsrisikofaktoren und Prävention (POF4-313) (POF4-313)

Appears in the scientific report 2021

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Database coverage:
; Clarivate Analytics Master Journal List ; Emerging Sources Citation Index ; SCOPUS ; Web of Science Core Collection

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