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膀胱影像报告和数据系统(VI-RADS)对肌层浸润性膀胱癌检测的诊断准确性:一项荟萃分析。

Diagnostic accuracy of vesical imaging-reporting and data system (VI-RADS) for the detection of muscle-invasive bladder cancer: a meta-analysis.

机构信息

Department of Radiology, The People's Hospital of Jianyang City, Jianyang, Sichuan Province, China.

出版信息

Abdom Radiol (NY). 2022 Apr;47(4):1396-1405. doi: 10.1007/s00261-022-03449-w. Epub 2022 Feb 18.

Abstract

PURPOSE

Vesical Imaging-Reporting and Data System (VI-RADS) was proposed and considered as a standardized reporting criterion for bladder magnetic resonance imaging (MRI). VI-RADS could suggest the likelihood of muscle invasion based on the multiparametric MRI (mp-MRI) findings which contain five-point scores. The current study is designed to comprehensively and systematically evaluate the diagnostic performance of VI-RADS (score 3 and 4) for predicting muscle invasion.

METHODS

The Cochrane Library, Embase, and PubMed were searched comprehensively from inception to October 2021.

RESULTS

Finally, 19 studies incorporating 2900 patients were enrolled. The pooled sensitivity and specificity of VI-RADS 3 for predicting muscle invasion were 0.92 (95%CI 0.89-0.94) and 0.82 (95%CI 0.76-0.87), respectively. The pooled sensitivity and specificity of VI-RADS 4 were 0.78 (95%CI 0.72-0.83) and 0.96 (95%CI 0.93-0.97), respectively. And the area under the curve (AUCs) of VI-RADS 3 and 4 were all 0.94 (95%CI 0.92-0.96). No significant publication biases were not observed for VI-RADS 3 (P = 0.74) and 4 (P = 0.57).

CONCLUSION

The VI-RADS reveals a good diagnostic performance for predicting muscle invasive in bladder cancer, which also has good clinical utilities and applicability. And VI-RADS 3 and 4 as cutoff values provide similar overall diagnostic and could be selectively applied individually. Prospective studies with a large scale are further required to validate the accuracy of the VI-RADS score.

摘要

目的

膀胱磁共振成像(MRI)的 vesical imaging-reporting and data system(VI-RADS)标准被提出并被认为是一种标准化的报告标准。VI-RADS 可以根据多参数 MRI(mp-MRI)的五项评分提示肌肉侵犯的可能性。本研究旨在全面系统地评估 VI-RADS(评分 3 和 4)预测肌肉侵犯的诊断性能。

方法

全面检索 Cochrane Library、Embase 和 PubMed 数据库,检索时间从建库至 2021 年 10 月。

结果

最终纳入 19 项研究,共 2900 例患者。VI-RADS 3 预测肌肉侵犯的敏感度和特异度的合并值分别为 0.92(95%CI 0.89-0.94)和 0.82(95%CI 0.76-0.87)。VI-RADS 4 的敏感度和特异度的合并值分别为 0.78(95%CI 0.72-0.83)和 0.96(95%CI 0.93-0.97)。VI-RADS 3 和 4 的曲线下面积(AUCs)均为 0.94(95%CI 0.92-0.96)。未观察到 VI-RADS 3(P=0.74)和 4(P=0.57)存在明显的发表偏倚。

结论

VI-RADS 对预测膀胱癌肌层浸润具有较好的诊断性能,具有较好的临床实用性和适用性。VI-RADS 3 和 4 作为截断值提供了相似的整体诊断准确性,可以单独选择性应用。需要进一步开展大规模前瞻性研究来验证 VI-RADS 评分的准确性。

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