Predictive value of prostate-specific antigen density and percentage of positive biopsy cores for extraprostatic extension of prostate cancer
10.12483/j.issn.1009-8291.2026.03.008
- VernacularTitle:前列腺特异性抗原密度和穿刺阳性针数百分比预测前列腺癌包膜外侵犯的临床价值
- Author:
Jingguang ZHANG
1
;
Kai HUANG
1
;
Zhou SHEN
1
Author Information
1. Graduate School, Bengbu Medical University, Bengbu 233000; Department of Urology, The First Affiliated Hospital of University of Science and Technology of China, Hefei 230001, China
- Publication Type:Journal Article
- Keywords:
prostate cancer;
extraprostatic extension;
prostate-specific antigen density;
percentage of positive cores
- From:
Journal of Modern Urology
2026;31(3):244-248
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the predictive value of prostate-specific antigen density(PSAD)and percentage of positive biopsy cores in identifying extraprostatic extension(EPE)of prostate cancer, so as to provide reference for clinical treatment decisions. Methods A retrospective analysis was conducted on the clinical data of 180 patients with localized prostate cancer who underwent radical prostatectomy at our hospital during Oct. 2019 and Apr. 2022. Variables were collected, including patients' age, number of positive biopsy cores, Gleason score, presence or absence of EPE, percentage of positive biopsy cores, total prostate-specific antigen(tPSA), PSAD, prostate volume(PV), body mass index(BMI)and approach of prostate biopsy(transrectal/transperineal). Binary logistic regression analysis was conducted to identify independent risk factors for EPE, and the diagnostic performance of these factors was evaluated using receiver operating characteristic(ROC)curve with calculation of the area under the curve(AUC). Results Among the 180 patients, 53(29.4%)were confirmed to have EPE based on postoperative pathological findings. Univariate logistic regression analysis revealed that the number of positive biopsy cores, Gleason score, percentage of positive biopsy cores, tPSA, and PSAD were significantly associated with EPE(P＜0.05). Multivariate logistic regression analysis demonstrated that PSAD(OR=6.008, P =0.007)and percentage of positive biopsy cores(OR=1.031, P=0.031)were independent predictors for EPE. ROC curve analysis showed that AUC for PSAD and the percentage of positive biopsy cores was 0.712 and 0.714, respectively. The combined ROC analysis yielded an AUC of 0.745. Conclusion Both PSAD and percentage of positive biopsy cores are independent predictors of extraprostatic extension of prostate cancer and demonstrate favorable predictive performance.
