Back to Search Start Over

Detection of prostate cancer using prostate imaging reporting and data system score and prostate-specific antigen density in biopsy-naive and prior biopsy-negative patients

Authors :
Hyunsoo Ryoo
Min Yong Kang
Hyun Hwan Sung
Byong Chang Jeong
Seong Il Seo
Seong Soo Jeon
Hyun Moo Lee
Hwang Gyun Jeon
Source :
Prostate International, Vol 8, Iss 3, Pp 125-129 (2020)
Publication Year :
2020
Publisher :
Elsevier, 2020.

Abstract

Background: Few studies report on indications for prostate biopsy using Prostate Imaging–Reporting and Data System (PI-RADS) score and prostate-specific antigen density (PSAD). No study to date has included biopsy-naïve and prior biopsy-negative patients. Therefore, we evaluated the predictive values of the PI-RADS, version 2 (v2) score combined with PSAD to decrease unnecessary biopsies in biopsy-naïve and prior biopsy-negative patients. Materials and methods: A total of 1,098 patients who underwent multiparametric magnetic resonance imaging at our hospital before a prostate biopsy and who underwent their second prostate biopsy with an initial benign negative prostatic biopsy were included. We found factors associated with clinically significant prostate cancer (csPca). We assessed negative predictive values by stratifying biopsy outcomes by prior biopsy history and PI-RADS score combined with PSAD. Results: The median age was 65 years (interquartile range: 59-70), and the median PSA was 5.1 ng/mL (interquartile range: 3.8-7.1). Multivariate logistic regression analysis revealed that age, prostate volume, PSAD, and PI-RADS score were independent predictors of csPca. In a biopsy-naïve group, 4% with PI-RADS score 1 or 2 had csPca; in a prior biopsy-negative group, 3% with PI-RADS score 1 or 2 had csPca. The csPca detection rate was 2.0% for PSA density

Details

Language :
English
ISSN :
22878882
Volume :
8
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Prostate International
Publication Type :
Academic Journal
Accession number :
edsdoj.b0007f5a0154d619b002646c2c641a1
Document Type :
article
Full Text :
https://doi.org/10.1016/j.prnil.2020.03.003