南方医科大学学报2017，Vol.37Issue(8)：1092-1097,6.DOI:10.3969/j.issn.1673-4254.2017.08.15
前列腺影像报告和数据系统联合前列腺特异性抗原的Logistic回归模型评价外周带前列腺癌的诊断效能
Value of PI-RADS v2 scores combined with prostate specific antigen in diagnosis of peripheral zone prostate cancer:a logistic regression analysis
摘要
Abstract
Objective To assess the value of Prostate Imaging and Reporting and Data System:Version 2 (PI-RADS v2) combined with prostate specific antigen (PSA) in the diagnosis of peripheral zone (PZ) prostate cancer (PCa). Methods The preoperative magnetic resonance imaging and PSA data were ananlyzed for 69 patients with pathologically confirmed PCa and 109 non-PCa patients. PI-RADS v2 scores (1-5) was used to evaluate the risk of PZ PCa. The total PSA (tPSA) level, free to total PSA ratio (f/t PSA), PSA density (PSAD), PZ-PSAD and PI-RADS v2 scores were compared between the PCa and non-PCa patients. Logistic regression models were established with parameters that differed significantly the two groups. The receiver opearting characteristics (ROC) curve was constructed based on the P values derived from the logical regression models and PI-RADS scores to assess the diagnostic efficiency. Results PI-RADS v2 score, tPSA, f/t PSA, PSAD and PZ-PSAD differed significantly between the two groups (P<0.01). Four predictive multivariate models were established: Logit P=-6.825+1.024PI-RADS v2+0.223tPSA (A), Logit P=-4.354+1.586PI-RADS v2-12.7841f/tPSA (B), Logit P=-8.993+1.630PI-RADS v2+17.091PSAD (C), and Logit P=-9.434+1.596PI-RADS v2+10.494PZ-PSAD (D), whose area under the ROC curves was 0.908, 0.891, 0.944, and 0.961, respectively, all significantly greater than that of PI-RADS v2 score (P<0.05). Conclusion Compared with PI-RADS v2 score alone, the combination of PI-RADS v2 score and PSA in the logistic regression model can improve the diagnostic efficiency of PZ PCa and offers better confidence in the decision of biopsy in suspected cases.关键词
PI-RADSv2/前列腺特异性抗原/Logistic回归模型/外周带/前列腺癌Key words
Prostate Imaging and Reporting and Data System (Version 2)/prostate specific antigen/logistic regression model/peripheral zone/prostate cancer引用本文复制引用
雷李智,许乙凯,侯美蓉,何梦琪..前列腺影像报告和数据系统联合前列腺特异性抗原的Logistic回归模型评价外周带前列腺癌的诊断效能[J].南方医科大学学报,2017,37(8):1092-1097,6.基金项目
广东省科技计划项目(2015B010131011) （2015B010131011）
