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PI-RADS v2.1与PI-RADS v2对前列腺癌诊断性能比较的Meta分析

Comparison of Diagnostic Performance Between PI-RADS v2.1 and PI-RADS v2 for Prostate Cancer: A Meta-analysis

  • 摘要:
    目的 对PI-RADS v2.1与PI-RADS v2在检测有临床意义的前列腺癌(csPCa)中的诊断性能进行Meta分析。
    方法 以“PIRADS v2.1”或“PI-RADS v2.1”为关键词检索CNKI、CBM、Medline、Embase等数据库所有文献。使用诊断准确性研究质量评估工具(QUADAS-2)进行文献质量评价,使用STATA17.0和ReMan5.4软件进行Meta分析。使用森林图表示每项研究的PI-RADS v2.1与PI-RADS v2的敏感度、特异性,并对敏感度、特异性、阳性似然比、阴性似然比、诊断比值比进行合并,以综合受试者工作特征曲线(SROC)对诊断性能进行评估。对肿瘤位置、不同阈值、作者国籍进行亚组分析。
    结果 共纳入12项研究,3158例患者,3243个病灶。PI-RADS v2.1在检测所有分区及整个腺体csPCa性能的SROC曲线下面积(AUC)较大。亚组分析显示:PI-RADS v2.1在检测移形带csPCa性能的SROC曲线下面积(AUC)较大;阈值为4时和中国的研究中PI-RADS v2.1在检测csPCa性能的SROC曲线下面积(AUC)最大。
    结论 与PI-RADS v2相比,PI-RADS v2.1在检测有临床意义的csPCa中,诊断性能并没有显著提高,总体特异性仍较低。

     

    Abstract:
    Objective To compare the diagnostic performance of PI-RADS v2.1 and PI-RADS v2 in the detection of clinically significant prostate cancer(csPCa) by Meta-analysis.
    Methods The major biomedical databases were searched (CNKI, CBM, Medline, and Embase) with the keywords "PIRADS v2.1" or "PI-RADS v2.1". The Quality Assessment of Diagnostic Accuracy Studies Tool v2 (QUADAS-2) was used to evaluate literature quality. Meta-analysis was performed using STATA17.0 and ReMan5.4 software. Forest plots were used to represent the sensitivity and specificity of PI-RADS v2.1 and PI-RADS v2 for each study. Sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were combined, and diagnostic performance was evaluated using asummary receiver operating characteristic curve (SROC). Subgroup analysis was performed on three covariables: tumor location, threshold, and the nationality of authors.
    Results A total of 12 studies were included, involving 3 158 patients and 3 243 lesions. Forall zones and the whole gland, PI-RADS v2.1 had a larger area under the SROC curve (AUC) for csPCa performance, compared with PI-RADS v2. Subgroup analysis: PI-RADS v2.1 also had a larger area under the SROC (AUC) to detect transitional zone csPCa. Different diagnostic thresholds: when a score of 4 was used for the threshold, PI-RADS v2.1 had the maximum area under SROC (AUC) for csPCa performance detection. Author nationality: Researches of PI-RADS v2.1 in Chinese authors had the largest area under the SROC (AUC) in detecting csPCa performance.
    Conclusion Compared with PI-RADS v2, the diagnostic performance of PI-RADS v2.1 in detecting csPCa is not obviously improved and overall specificity is still low.

     

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