Editorial for “Prostate Cancer Risk Stratification in Men With a Clinical Suspicion of Prostate Cancer Using a Unique Biparametric MRI and Expression of 11 Genes in Apparently Benign Tissue: Evaluation Using Machine‐Learning Techniques”

2020 ◽  
Vol 51 (5) ◽  
pp. 1554-1555
Author(s):  
Daniel A. Moses
Keyword(s):  
Prostate Cancer ◽  
Machine Learning ◽  
Cancer Risk ◽  
Risk Stratification ◽  
Prostate Cancer Risk ◽  
Clinical Suspicion ◽  
Machine Learning Techniques ◽  
Benign Tissue ◽  
Learning Techniques

scholarly journals Entering an era of radiogenomics in prostate cancer risk stratification

2018 ◽  
Vol 7 (S4) ◽  
pp. S443-S452 ◽  
Author(s):  
Nachiketh Soodana-Prakash ◽  
Radka Stoyanova ◽  
Abhishek Bhat ◽  
Maria C. Velasquez ◽  
Omer E. Kineish ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Risk ◽  
Risk Stratification ◽  
Prostate Cancer Risk

scholarly journals Pre-treatment risk stratification of prostate cancer patients:A critical review

2012 ◽  
Vol 6 (2) ◽  
Author(s):  
George Rodrigues ◽  
Padraig Warde ◽  
Tom Pickles ◽  
Juanita Crook ◽  
Michael Brundage ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Prognostic Factors ◽  
Cancer Risk ◽  
Risk Stratification ◽  
Gleason Score ◽  
Critical Review ◽  
Specific Antigen ◽  
Prostate Cancer Risk ◽  
Original Research ◽  
Pre Treatment

Introduction:  The use of accepted prostate cancer risk stratification groups based on prostate-specific antigen, T stage and Gleason score assists in therapeutic treatment decision-making, clinical trial design and outcome reporting. The utility of integrating novel prognostic factors into an updated risk stratification schema is an area of current debate. The purpose of this work is to critically review the available literature on novel pre-treatment prognostic factors and alternative prostate cancer risk stratification schema to assess the feasibility and need for changes to existing risk stratification systems. Methods:  A systematic literature search was conducted to identify original research publications and review articles on prognostic factors and risk stratification in prostate cancer. Search terms included risk stratification, risk assessment, prostate cancer or neoplasms, and prognostic factors. Abstracted information was assessed to draw conclusions regarding the potential utility of changes to existing risk stratification schema. Results:  The critical review identified three specific clinically relevant potential changes to the most commonly used three-group risk stratification system: (1) the creation of a very-low risk category; (2) the splitting of intermediate-risk into a low- and highintermediate risk groups; and (3) the clarification of the interface between intermediate- and high-risk disease. Novel pathological factors regarding high-grade cancer, subtypes of Gleason score 7 and percentage biopsy cores positive were also identified as potentially important risk-stratification factors. Conclusions:  Multiple studies of prognostic factors have been performed to create currently utilized prostate cancer risk stratification systems. We propose potential changes to existing systems.

108 TEMPLATE TRANSPERINEAL PROSTATE MAPPING BIOPSIES FOR PROSTATE CANCER RISK STRATIFICATION AND CANCER LOCALIZATION

2010 ◽  
Vol 9 (2) ◽  
pp. 67
Author(s):  
P.B. Singh ◽  
H.U. Ahmed ◽  
D. Stevens ◽  
P. Gurung ◽  
A. Freeman ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Risk ◽  
Risk Stratification ◽  
Prostate Cancer Risk

scholarly journals Understanding PSA and its derivatives in prediction of tumor volume: addressing health disparities in prostate cancer risk stratification

Oncotarget ◽  
2017 ◽  
Vol 8 (13) ◽  
pp. 20802-20812 ◽  
Author(s):  
Felix M. Chinea ◽  
Kirill Lyapichev ◽  
Jonathan I. Epstein ◽  
Deukwoo Kwon ◽  
Paul Taylor Smith ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Health Disparities ◽  
Cancer Risk ◽  
Risk Stratification ◽  
Tumor Volume ◽  
Prostate Cancer Risk
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