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Novel concepts for risk stratification in prostate cancer

Published version
Peer-reviewed

Type

Article

Change log

Authors

Patel, KM 
Gnanapragasam, VJ 

Abstract

Since Partin introduced the analysis of prostate-specific antigen, clinical T-stage and Gleason scores to estimate the risk of progression in men with localised prostate cancer, our understanding of factors that modify this risk has changed drastically. There are now multiple risk stratification tools available, including look-up tables, risk stratification/classification analyses, regression-tree analyses, nomograms and artificial neural networks. Concurrently, descriptions of novel biopsy strategies, imaging modalities and biomarkers are frequently published with the aim of improving risk stratification. With an abundance of new information available, incorporating advances into clinical practice can be confusing. This article aims to outline the major novel concepts in prostate cancer risk stratification for men with biopsy confirmed prostate cancer. We will detail which of these novel techniques and tools are likely to be adopted to aid treatment decisions and enable more accurate post-diagnosis, pretreatment risk stratification.

Description

Keywords

risk stratification, pretreatment, prognostic factors, prostate cancer

Journal Title

Journal of Clinical Urology

Conference Name

Journal ISSN

2051-4158
2051-4166

Volume Title

9

Publisher

SAGE Publications