Nomogram for Prediction of Prostate Cancer with Serum Prostate Specific Antigen Less than 10 ng/mL.
10.3346/jkms.2014.29.3.338
- Author:
Jae Hyun AHN
1
;
Jeong Zoo LEE
;
Moon Kee CHUNG
;
Hong Koo HA
Author Information
1. Department of Urology and Biomedical Research Institute, Pusan National University Hospital, Busan, Korea. hongkooha@naver.com
- Publication Type:Original Article
- Keywords:
Biopsy;
Nomograms;
Prostate;
Prostatic Neoplasms
- MeSH:
Adult;
Age Factors;
Aged;
Aged, 80 and over;
Area Under Curve;
Humans;
Male;
Middle Aged;
Multivariate Analysis;
*Nomograms;
Predictive Value of Tests;
Prostate/physiology;
Prostate-Specific Antigen/*blood;
Prostatic Neoplasms/*diagnosis/pathology;
ROC Curve;
Risk Factors
- From:Journal of Korean Medical Science
2014;29(3):338-342
- CountryRepublic of Korea
- Language:English
-
Abstract:
Although prostate-specific antigen (PSA) is a very useful screening tool, prostate biopsy is still necessary to confirm prostate cancer (PCA). However, it is reported that PSA is associated with a high false-positive rate and prostate biopsy also has various procedure-related complications. Therefore, the authors have devised a nomogram, which can be used to estimate the risk of PCA, using available clinical data for men with a serum PSA less than 10 ng/mL. Prostate biopsies were obtained from 2,139 patients from January 1998 to March 2011. Of them, 1,171 patients with a serum PSA less than 10 ng/mL were only included in this study. Patient age, PSA, free PSA, prostate volume, PSA density and percent free PSA ratio were analyzed. Among 1,171 patients, 255 patients (21.8%) were diagnosed as PCA. Multivariate analyses showed that patient age, prostate volume, PSA and percent free PSA had statistically significant relationships with PCA (P < 0.05) and were used as nomogram predictor variables. The area under the (ROC) curve for all factors in a model predicting PCA was 0.759 (95% CI, 0.716-0.803).
