Analysis of influential factors for prostate biopsy and establishment of logistic regression model for
prostate cancer.
10.11817/j.issn.1672-7347.2015.06.013
- Author:
Yonglin LI
1
;
Zhengyan TANG
1
;
Lin QI
1
;
Zhi CHEN
1
;
Dongjie LI
1
;
Mingqiang ZENG
1
;
Ruizhi XUE
1
;
Chuan PENG
1
Author Information
1. Department of Urology, Xiangya Hospital, Central South University, Changsha 410008, China.
- Publication Type:Journal Article
- MeSH:
Biopsy;
Humans;
Logistic Models;
Male;
Prostate-Specific Antigen;
blood;
Prostatic Neoplasms;
diagnosis;
pathology;
ROC Curve;
Retrospective Studies;
Sensitivity and Specificity;
Urologic Surgical Procedures
- From:
Journal of Central South University(Medical Sciences)
2015;40(6):651-656
- CountryChina
- Language:Chinese
-
Abstract:
OBJECTIVE:To establish logistic regression model for prostate cancer and provide basis for prostate biopsy.
METHODS:A total of 117 cases of prostate biopsy were retrospectively analyzed in chronological sequence. All cases were assigned into a model group (n=78) and a validation group (n=39). Logistic regression model was established and its value was estimated by receiver operating characteristic (ROC) curve.
RESULTS:Digital rectal examination(DRE), transrectal ultrasound(TRUS), MRI, prostate-specific antigen density (PSAD), and free PSA/total PSA (fPSA/tPSA) were the influential factors for prostate biopsy (P<0.01). The established logistic regression model for prostate cancer by regression coefficient was: logit P=-2.362+2.561×DRE+1.747×TRUS+2.901×MRI+1.126×PSAD-
2.569×fPSA/tPSA and area under curve was 0.907. When the cutoff aimed at 0.12, the sensitivity and specificity were 81.80% and 89.30%, respectively.
CONCLUSION:Logistic regression model for prostate cancer can provide sufficient basis for prostate biopsy. Prostate biopsy should be performed when P value is more than 0.12.
