目的:探究第2.1版前列腺影像报告与数据系统(prostate imaging reporting and data system,PI-RADS v2.1)联合前列腺特异抗原(prostate specific antigen,PSA)、前列腺特异抗原密度(prostate specific antigen density,PSAD)在前列腺癌(...目的:探究第2.1版前列腺影像报告与数据系统(prostate imaging reporting and data system,PI-RADS v2.1)联合前列腺特异抗原(prostate specific antigen,PSA)、前列腺特异抗原密度(prostate specific antigen density,PSAD)在前列腺癌(prostate cancer,PCa)诊断中的应用价值。方法:选择2016年5月—2021年6月于南通市第二人民医院进行治疗的90例疑似前列腺癌患者作为研究对象。90例患者分别进行多参数核磁共振(mp-MRI)检查,对患者的前列腺图像进行PIRADS v2.1评分及PI-RADS v2.1评分联合PSA、PSAD诊断。以患者前列腺穿刺取组织进行病理检查结果为金标准,分析患者的PSA、PSAD水平及PI-RADS v2.1评分联合PSA、PSAD对前列腺癌的敏感度、特异度、阳性预测值和阴性预测值。结果:90例疑似PCa患者,病理学诊断结果:恶性肿瘤42例,良性肿瘤48例。良性患者和恶性患者游离前列腺特异性抗原(f-PSA)对比,差异无统计学意义(P>0.05),良性患者PSAD、总前列腺特异性抗原(t-PSA)低于恶性肿瘤,f-PSA/t-PSA高于恶性肿瘤,差异均有统计学意义(P<0.05)。PI-RADS v2.1评分联合PSA、PSAD诊断准确率高于PI-RADS v2.1评分,差异有统计学意义(P<0.05)。PI-RADS v2.1评分联合PSA、PSAD检测的敏感度、特异度、阳性预测值、阴性预测值均高于PI-RADS v2.1评分,差异均有统计学意义(P<0.05)。结论:对前列腺癌患者的诊断中,PI-RADS v2.1评分具有较高的准确性,但PI-RADS v2.1评分联合PSA、PSAD检测在敏感度、特异度和准确度更有参考价值。展开更多
目的 基于前列腺影像报告和数据系统2.1版(Prostate Imaging Report and Data System version 2.1, PI-RADS v2.1)的双参数磁共振成像(biparametric MRI, bp-MRI)和前列腺特异性抗原(prostate specific antigen, PSA)等临床指标,构建鉴...目的 基于前列腺影像报告和数据系统2.1版(Prostate Imaging Report and Data System version 2.1, PI-RADS v2.1)的双参数磁共振成像(biparametric MRI, bp-MRI)和前列腺特异性抗原(prostate specific antigen, PSA)等临床指标,构建鉴别诊断PSA(4-20 ng/mL)前列腺癌(prostate cancer, PCa)的列线图模型。材料与方法 回顾性分析宁夏医科大学总医院2017年10月至2022年2月206例行bp-MRI检查并有病理学结果的患者资料。根据病理结果分为PCa组(n=66)和前列腺增生和(或)炎症组(n=140),经单、多因素logistic回归分析筛选PSA (4-20 ng/mL) PCa患者的独立危险因素,随后使用R软件构建列线图模型,并用决策曲线分析(decision curve analysis, DCA)其临床净效益。以受试者工作特征(receiver operating characteristic, ROC)曲线下面积(area under the curve, AUC)、敏感度和特异度评价诊断效能,并通过DeLong检验比较AUC值间的差异。结果 年龄、总前列腺特异性抗原(total prostate specific antigen, tPSA)、前列腺体积(prostate volume, PV)、PI-RADS v2.1是预测PSA (4-20 ng/mL) PCa的独立危险因素。基于上述4个独立指标构建的列线图模型诊断效能最好(AUC=0.945),明显高于PI-RADS v2.1(AUC=0.816)、PV(AUC=0.772)、tPSA(AUC=0.737)、年龄(AUC=0.680)。结论 基于bp-MRI的PI-RADS v2.1评分联合临床相关指标建立的列线图模型,预测PSA (4–20 ng/mL) PCa的诊断效能明显优于单一指标,可作为一种无创精准化预测工具,将更全面、准确地预测罹患PCa的风险概率,为临床提供有效的诊疗指导。展开更多
Background:To evaluate the predictive values of Prostate Imaging Reporting and Data System version 2(PI-RADS v2),prostate-specific antigen(PSA)level,PSA density(PSAD),digital rectal examination findings,and prostate v...Background:To evaluate the predictive values of Prostate Imaging Reporting and Data System version 2(PI-RADS v2),prostate-specific antigen(PSA)level,PSA density(PSAD),digital rectal examination findings,and prostate volume,individually and in combination,for the detection of prostate cancer(Pca)in biopsy-naïve patients.Methods:We retrospectively analyzed 630 patients who underwent transrectal systematic prostate biopsy following prostate multiparametric magnetic resonance imaging.A standard 12-core biopsy procedure was performed.Univariate and multivariate analyses were performed to determine the significant predictors of clinically significant cancer but not Pca.Results:The median age,PSA level,and PSAD were 70 years,8.6 ng/mL,and 0.18 ng/mL/mL,respectively.A total of 374(59.4%)of 630 patients were biopsy-positive for Pca,and 241(64.4%)of 374 were diagnosed with clinically significant Pca(csPCa).The PI-RADS v2 score and PSAD were independent predictors of Pca and csPCa.The PI-RADS v2 score of 5 regardless of the PSAD value,or PI-RADS v2 score of 4 plus a PSAD of<0.3 ng/mL/mL,was associated with the highest csPCa detection rate(36.1%-82.1%).Instead,the PI-RADS v2 score of<3 and PSAD of<0.3 ng/mL/mL yielded the lowest risk of csPCa.Conclusion:The combination of the PI-RADS v2 score and PSAD could prove to be a helpful and reliable diagnostic tool before performing prostate biopsies.Patients with a PI-RADS v2 score of<3 and PSAD of<0.3 ng/mL/mL could potentially avoid a prostate biopsy.展开更多
目的研究前列腺影像报告和数据系统2版与1版对前列腺癌诊断的准确性有无差异。方法选取77例经3.0 T MRI检查诊断为可疑前列腺癌患者的影像(T_2WI+DWI+DCE)资料,以MRI检查后2周内的病理结果作为金标准。根据病变位置(外周带、移行...目的研究前列腺影像报告和数据系统2版与1版对前列腺癌诊断的准确性有无差异。方法选取77例经3.0 T MRI检查诊断为可疑前列腺癌患者的影像(T_2WI+DWI+DCE)资料,以MRI检查后2周内的病理结果作为金标准。根据病变位置(外周带、移行带)分组,两名医师(R1和R2)分别按前列腺影像报告和数据系统2版与1版对所有病例进行评分。利用ROC曲线对所有病例的2个版本评分进行评价,并对ROC曲线下面积(AUC)进行比较。利用Kappa统计方法对两名医师的一致性进行评价。结果 77例中,45例被确诊为前列腺癌。在不区分位置时(混合组),两名医师使用2版评分的AUC均比1版更高(R1:V1:0.887 vs V2:0.945;R2:V1:0.903 vs V2:0.964),但两者差异无统计学意义(R1:P=0.121;R2:P=0.064)。在外周带,使用1版评分的AUC均大于2版(R1:V1:0.944 vs V2:0.868;R2:V1:0.965 vs V2:0.917),但两者差异无统计学意义(R1:P=0.165;R2:P=0.235)。在移行带,使用2版AUC比1版高(R1:V1:0.862 vs V2:0.987;R2:V1:0.863 vs V2:0.979),且两者差异有统计学意义(R1:P=0.023,R2:P=0.035),两名医师使用2版和1版的一致性均较好(V1:k=0.777;V2:k=0.881)。结论利用2版和1版前列腺影像报告和数据系统诊断可行性均较好。2版和1版对前列腺癌的诊断准确性均较好,但在移行带,2版要比1版准确性更高。展开更多
文摘Background:To evaluate the predictive values of Prostate Imaging Reporting and Data System version 2(PI-RADS v2),prostate-specific antigen(PSA)level,PSA density(PSAD),digital rectal examination findings,and prostate volume,individually and in combination,for the detection of prostate cancer(Pca)in biopsy-naïve patients.Methods:We retrospectively analyzed 630 patients who underwent transrectal systematic prostate biopsy following prostate multiparametric magnetic resonance imaging.A standard 12-core biopsy procedure was performed.Univariate and multivariate analyses were performed to determine the significant predictors of clinically significant cancer but not Pca.Results:The median age,PSA level,and PSAD were 70 years,8.6 ng/mL,and 0.18 ng/mL/mL,respectively.A total of 374(59.4%)of 630 patients were biopsy-positive for Pca,and 241(64.4%)of 374 were diagnosed with clinically significant Pca(csPCa).The PI-RADS v2 score and PSAD were independent predictors of Pca and csPCa.The PI-RADS v2 score of 5 regardless of the PSAD value,or PI-RADS v2 score of 4 plus a PSAD of<0.3 ng/mL/mL,was associated with the highest csPCa detection rate(36.1%-82.1%).Instead,the PI-RADS v2 score of<3 and PSAD of<0.3 ng/mL/mL yielded the lowest risk of csPCa.Conclusion:The combination of the PI-RADS v2 score and PSAD could prove to be a helpful and reliable diagnostic tool before performing prostate biopsies.Patients with a PI-RADS v2 score of<3 and PSAD of<0.3 ng/mL/mL could potentially avoid a prostate biopsy.
文摘目的研究前列腺影像报告和数据系统2版与1版对前列腺癌诊断的准确性有无差异。方法选取77例经3.0 T MRI检查诊断为可疑前列腺癌患者的影像(T_2WI+DWI+DCE)资料,以MRI检查后2周内的病理结果作为金标准。根据病变位置(外周带、移行带)分组,两名医师(R1和R2)分别按前列腺影像报告和数据系统2版与1版对所有病例进行评分。利用ROC曲线对所有病例的2个版本评分进行评价,并对ROC曲线下面积(AUC)进行比较。利用Kappa统计方法对两名医师的一致性进行评价。结果 77例中,45例被确诊为前列腺癌。在不区分位置时(混合组),两名医师使用2版评分的AUC均比1版更高(R1:V1:0.887 vs V2:0.945;R2:V1:0.903 vs V2:0.964),但两者差异无统计学意义(R1:P=0.121;R2:P=0.064)。在外周带,使用1版评分的AUC均大于2版(R1:V1:0.944 vs V2:0.868;R2:V1:0.965 vs V2:0.917),但两者差异无统计学意义(R1:P=0.165;R2:P=0.235)。在移行带,使用2版AUC比1版高(R1:V1:0.862 vs V2:0.987;R2:V1:0.863 vs V2:0.979),且两者差异有统计学意义(R1:P=0.023,R2:P=0.035),两名医师使用2版和1版的一致性均较好(V1:k=0.777;V2:k=0.881)。结论利用2版和1版前列腺影像报告和数据系统诊断可行性均较好。2版和1版对前列腺癌的诊断准确性均较好,但在移行带,2版要比1版准确性更高。