Objective: Based on the 2014 version of the International Association of Urological Pathology (ISUP) pathological classification standards, a prediction model that can predict the pathological classification of ISUP ≥2 in patients with prostate cancer (PCa) before radical prostatectomy (RP) was established and evaluated. Methods: The clinical data of 171 patients who had undergone RP from January 2017 to September 2020 in the Second Affiliated Hospital of Soochow University and obtained postoperative pathological results of all specimens were retrospectively collected. The patients were 46-83 (70±7) years old. For patients with RP ISUP pathologic stage as the gold standard, according to the pathological grading is level 2 or higher is divided into two groups(42 patients with ISUP grade=1 and 129 patients with ISUP grade ≥2). the predictors of ISUP pathology grade ≥2 after RP were screened by logistics regression analysis, predictive models were established and ROC curves were used to evaluate the efficacy of each model in diagnosing RP with pathological grade ≥2, and comparisons were conducted by DeLong test. Results: Compared with patients with ISUP grade=1, patients with ISUP grade≥2 had higher prostate specific antigen (PSA) and prostate specific antigen density (PSAD) (14.21(8.57, 24.98)ng/ml vs 7.98(5.41, 12.54)ng/ml, 0.33(0.20, 0.74)μg.L-1.ml-1 vs 0.16(0.12, 0.24)μg.L-1.ml-1), lower prostate volume (PV) (48.62(34.17,73.99)ml vs 38.94(28.15,54.84)ml)(all P<0.05). Multi-parameter magnetic resonance imaging (mp-MRI) prostate imaging and reporting system (PI-RADS) score, the positive ratio of puncture needles and the pathological grade of puncture ISUP were also significantly different between the two groups (all P<0.05). The combined mp-MRI PI-RADS score (OR=3.337, 95%CI: 1.990-5.593, P<0.001) and puncture ISUP pathological grading (OR=4.041, 95%CI: 1.960-8.334, P<0.001) had the highest diagnostic efficacy for pathological grading ≥2 after RP (AUC=0.916, P<0.05). Conclusion: The combined mp-MRI PI-RADS score and puncture ISUP pathological grading had the highest diagnostic efficacy for pathological grading ≥2 after RP.
目的： 基于2014版国际泌尿病理协会（ISUP）病理分级标准，建立并评估在前列腺根治术（RP）前可预测前列腺癌（PCa）患者根治术后ISUP病理分级≥2级的预测模型。 方法： 回顾性收集2017年1月至2020年9月苏州大学附属第二医院171例经RP且获得术后全标本病理结果的患者临床资料，年龄46~83（70±7）岁。以患者RP后ISUP病理分级为金标准，根据病理分级是否≥2级分为两组（ISUP病理分级=1级患者42例，IUSP病理分级≥2级患者129例）。采用logistic回归分析筛选RP后ISUP病理分级≥2级的预测因子，建立模型并采用受试者工作特征（ROC）曲线评估各模型诊断RP后病理分级≥2级的效能，并通过DeLong检验进行比较。 结果： 相比ISUP病理分级=1级患者，IUSP病理分级≥2级患者的前列腺特异性抗原（PSA）、前列腺特异性抗原密度（PSAD）增加［14.21（8.57，24.98）ng/ml比7.98（5.41，12.54）ng/ml、0.33（0.20，0.74）μg.L-1.ml-1比0.16（0.12，0.24）μg.L-1.ml-1］，前列腺体积（PV）减小［48.62（34.17，73.99）ml比38.94（28.15，54.84）ml］（均P<0.05）。多参数磁共振成像（mp-MRI）前列腺影像与报告系统（PI-RADS）评分、穿刺针数阳性比例及穿刺ISUP病理分级在两组间差异亦有统计学意义（均P<0.05）。mp-MRI PI-RADS评分（OR=3.337，95%CI：1.990~5.593）和穿刺ISUP病理分级（OR =4.041，95%CI：1.960~8.334）组成的联合模型对RP后ISUP病理分级≥2级具有最高的诊断效能（AUC=0.916，P<0.05）。 结论： mp-MRI PI-RADS评分和穿刺ISUP病理分级组成的联合模型对RP后ISUP病理分级≥2级具有最高的诊断效能。.