Predicting transitional zone prostate cancer with prostate specific antigen of 4-20 ng/m L based on multivariate logistic regression model
10.3969/j.issn.1002-1671.2025.01.018
- VernacularTitle:基于多因素logistic回归模型预测前列腺特异性抗原4～20ng/mL时移行带前列腺癌
- Author:
Yangping NIE
1
;
Yun LI
1
Author Information
1. 郑州市第七人民医院MR科,河南 郑州 450000
- Publication Type:Journal Article
- Keywords:
prostate cancer;
prostate imaging reporting and data system;
prostate specific antigen;
logistic regression
- From:
Journal of Practical Radiology
2025;41(1):81-84
- CountryChina
- Language:Chinese
-
Abstract:
Objective To establish a multivariate logistic regression model based on prostate imaging reporting and data system(PI-RADS)v2.1 and prostate specific antigen(PSA)and its derived indicators,and to investigate the predictive value of PSA 4-20 ng/m L for transitional zone prostate cancer.Methods A total of 104 patients with prostate disease and PSA of 4-20 ng/m L were retospec-tively selected.All patients underwent puncture biopsy or radical prostatectomy.In accordance with the pathological findings,patients were divided into prostate cancer group(30 cases)and non-prostate cancer(prostatic hyperplasia or prostatitis)group(74 cases).The differences of total prostate specific antigen(t PSA),free prostate specific antigen(f PSA),f PSA/t PSA,prostate specific antigen density(PSAD)and PI-RADS v2.1 scores were compared between the two groups.A multivariate logistic regression model was con-structed to analyze the risk factors of cancer.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic efficiency.Results There were statistically differences in t PSA,f PSA/t PSA,PSAD,and PI-RADS v2.1 scores between the two groups(P<0.05).Logistic regression analysis indicated that PSAD and PI-RADS v2.1 scores were independent risk factors for pre-dicting transitional zone prostate cancer.The area under the curve(AUC)of the model was 0.938,which was significantly higher than any individual index,with sensitivity of 90.00%,specificity of 86.49%,and accuracy of 86.54%.Conclusion The logistic regression model based on PI-RADS v2.1 and PSAD can enhance the diagnostic efficiency for transitional zone prostate cancer.It provides stron-ger evidence for the needle biopsy of patients with suspicious prostate cancer and helps to avoid overdiagnosis and unnecessary biopsy.
