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PI-RADS v2.1联合PSA相关指标预测PSA灰区前列腺癌的价值研究

张苏波 徐永军 孙毅 万金鑫 赵妍 刘静芳 王锐

张苏波, 徐永军, 孙毅, 万金鑫, 赵妍, 刘静芳, 王锐. PI-RADS v2.1联合PSA相关指标预测PSA灰区前列腺癌的价值研究[J]. CT理论与应用研究, 2021, 30(5): 567-574. doi: 10.15953/j.1004-4140.2021.30.05.04
引用本文: 张苏波, 徐永军, 孙毅, 万金鑫, 赵妍, 刘静芳, 王锐. PI-RADS v2.1联合PSA相关指标预测PSA灰区前列腺癌的价值研究[J]. CT理论与应用研究, 2021, 30(5): 567-574. doi: 10.15953/j.1004-4140.2021.30.05.04
ZHANG Subo, XU Yongjun, SUN Yi, WAN Jinxin, ZHAO Yan, LIU Jingfang, WANG Rui. Study on the Value of Predicting Prostate Cancer in the Grey Zone of PSA by Use of PI-RADS v2.1 Combined with PSA-related Indicators[J]. CT Theory and Applications, 2021, 30(5): 567-574. doi: 10.15953/j.1004-4140.2021.30.05.04
Citation: ZHANG Subo, XU Yongjun, SUN Yi, WAN Jinxin, ZHAO Yan, LIU Jingfang, WANG Rui. Study on the Value of Predicting Prostate Cancer in the Grey Zone of PSA by Use of PI-RADS v2.1 Combined with PSA-related Indicators[J]. CT Theory and Applications, 2021, 30(5): 567-574. doi: 10.15953/j.1004-4140.2021.30.05.04

PI-RADS v2.1联合PSA相关指标预测PSA灰区前列腺癌的价值研究

doi: 10.15953/j.1004-4140.2021.30.05.04
基金项目: 

江苏大学临床医学科技发展基金(动态增强MRI联合标准化表观扩散系数对预测中高级别前列腺癌的应用价值研究(JLY2021089))。

详细信息
    作者简介:

    张苏波,男,硕士,江苏省连云港市第二人民医院主治医师,主要从事影像诊断工作,E-mail:zsb3210@126.com;徐永军*,男,江苏省连云港市第二人民医院影像科副主任医师,主要从事影像诊断工作,E-mail:z15161309079@126.com。

  • 中图分类号: O242;R445.3

Study on the Value of Predicting Prostate Cancer in the Grey Zone of PSA by Use of PI-RADS v2.1 Combined with PSA-related Indicators

  • 摘要: 目的:探讨建立前列腺影像报告及数据系统(PI-RADS v2.1)联合前列腺抗原(PSA)相关衍生物的Logistic模型对PSA灰区(4~10ng/mL)前列腺癌(PCa)的诊断价值。材料与方法:回顾性分析经病理证实的49例前列腺癌(PCa)和118例非癌患者的资料,包括年龄、tPSA、fPSA、PI-RADS v2.1评分、PSAD、fPSA/tPSA。对组间有统计学差异的指标进行Logistic回归分析,确定PCa独立预测指标,并分别联合PI-RADS v2.1评分建立Logistic回归预测模型。通过受试者工作特性曲线(ROC)评价各模型的诊断效能。结果:①年龄、tPSA、fPSA在PCa与非癌组间无统计学差异,fPSA/tPSA、PSAD、PI-RADS v2.1评分有统计学差异。②Logistic回归分析显示PI-RADS v2.1评分、PSAD、fPSA/tPSA为PCa独立预测因子;拟建立预测模型,A模型:Logit(P)=-10.82+2.32×PI-RADS v2.1+11.89×PSAD;B模型:Logit(P)=-6.13+2.19×PI-RADS v2.1-12.02×fPSA/tPSA。ROC曲线下面积分别为0.918和0.893,均高于单独使用PI-RADS v2.1评分,差异具有统计学意义。其中A模型敏感度0.843、特异度0.829,较单独使用PI-RADS v2.1评分(敏感度0.767、特异度0.801)诊断效能最佳。结论:PI-RADS v2.1评分联合PSA相关指标建立的Logistic模型在PSA灰区前列腺癌的诊断效能均优于单独运用PI-RADS v2.1评分,能够避免不必要的穿刺活检,对优化临床治疗策略具有较好的指导作用。

     

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出版历程
  • 收稿日期:  2021-01-07
  • 网络出版日期:  2021-09-23

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