目的:探讨临床及双参数MRI(biparametric MRI,bpMRI)诊断前列腺癌(prostate cancer,PCa)包膜外侵犯(extrapro-static extension,EPE)的价值.方法:回顾性分析 2018年 8月至 2024年 5月芜湖市第二人民医院 107例PCa患者资料,按根治性前列腺切除术后病理分为EPE组(n=42)和器官局限组(n=65).比较临床风险指标年龄、总前列腺特异性抗原(total pro-state specific antigen,tPSA)、前列腺体积、前列腺特异性抗原密度(prostate specific antigen density,PSAD)、前列腺穿刺术国际泌尿病理协会(ISUP)评分、MRI指标前列腺影像报告和数据系统(prostate imaging reporting and data system,PI-RADS)评分及bpMRI组间差异.利用二元Logistic回归分析构建诊断EPE的临床模型、联合模型并筛选出独立影响因子;ROC曲线分析各独立影响因子、模型的诊断效能;DeLong检验比较模型AUC间的差异;绘制列线图,并进行性能评估.结果:两组间tPSA、PSAD、前列腺穿刺术ISUP评分、PI-RADS评分及bpMRI差异具有统计学意义(P<0.05).临床模型AUC为 0.821;联合模型及其独立影响因子PSAD(OR=25.992)、前列腺穿刺术ISUP评分(OR=1.676)、bpMRI(OR=10.729)AUC分别为 0.899、0.813、0.770、0.793,P<0.001.联合模型优于临床模型(Z=2.502,P=0.012);5折交叉验证平均AUC为 0.887,模型校准度高,阈值范围在5%～85%时有临床获益.结论:基于临床、bpMRI指标衍生的联合模型列线图诊断PCa EPE价值较高.
The value of clinical and biparametric MRI nomogram in diagnosing extraprostatic ex-tension of prostate cancer
Objective:To explore the value of clinical and biparametric magnetic resonance imaging(bpMRI)in diagnosing extraprostatic ex-tension(EPE)of prostate cancer(PCa).Methods:This retrospective study assigned 107 patients into EPE(n=42)and organ-limited(n=65)groups based on their postoperative pathology after radical prostatectomy from August 2018 to May 2024 at Wuhu Second People's Hospit-al.The differences in the following clinical risk indicators were compared between the groups:age,total prostate specific antigen(tPSA),pro-state volume,prostate specific antigen density(PSAD)and International Society of Urological Pathology(ISUP)score for prostate puncture.The differences in MRI indicators,prostate imaging reporting and data system(PI-RADS)score and bpMRI were also identified.Binary Logist-ic regression analysis was used to construct clinical and joint models for diagnosing EPE,and screening independent influencing factors.The ROC curve analyze the independent influencing factors and diagnostic performance of the models.The DeLong test was used to compare the differences between the AUC models.A nomogram was draw,and performance evaluated.Results:The differences in tPSA,PSAD,ISUP score for prostate puncture,PI-RADS score,and bpMRI were statistically significant between the two groups(P<0.05).The clinical model AUC was 0.821;while the AUCs of the combined model and independent influencing factors PSAD(OR=25.992),ISUP score for prostate puncture(OR=1.676),and bpMRI(OR=10.729)were 0.899,0.813,0.770,and 0.793 respectively(P<0.001).The combined model was superior to the clinical model(Z=2.502 and P=0.012).The average AUC for 5-fold cross-validation was 0.887,with high model calibration and a threshold range of 5%-85%,indicating clinical benefits.Conclusions:The combined model nomogram derived from clinical and bpMRI indicators is highiy valuable for diagnosing PCa EPE.
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