Year : 2015  |  Volume : 17  |  Issue : 6  |  Page : 864-869

Risk calculators and updated tools to select and plan a repeat biopsy for prostate cancer detection

Department of Urology, Albany Medical College, Albany, NY, USA

Correspondence Address:
Badar M Mian
Department of Urology, Albany Medical College, Albany, NY
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/1008-682X.156859

Rights and Permissions

Millions of men each year are faced with a clinical suspicion of prostate cancer (PCa) but the prostate biopsy fails to detect the disease. For the urologists, how to select the appropriate candidate for repeat biopsy is a significant clinical dilemma. Traditional risk-stratification tools in this setting such as prostate-specific antigen (PSA) related markers and histopathology findings have met with limited correlation with cancer diagnosis or with significant disease. Thus, an individualized approach using predictive models such as an online risk calculator (RC) or updated biomarkers is more suitable in counseling men about their risk of harboring clinically significant prostate cancer. This review will focus on the available risk-stratification tools in the population of men with prior negative biopsies and persistent suspicion of PCa. The underlying methodology and platforms of the available tools are reviewed to better understand the development and validation of these models. The index patient is then assessed with different RCs to determine the range of heterogeneity among various RCs. This should allow the urologists to better incorporate these various risk-stratification tools into their clinical practice and improve patient counseling.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded3267    
    Comments [Add]    
    Cited by others 1    

Recommend this journal