Abstract：Objective： To evaluate the value and accuracy of virtual cystoscopy based on three-dimensional reconstruction of CT images in the differential diagnosis of bladder tumor lesions and normal tissues. Methods： The English literatures in PubMed, EMBASE, Cochrane and MEDLINE databases were searched by the following keywords： CT images, virtual cystoscopy and bladder cancer. Two researchers independently searched the literatures and extracted the data. If there was any objection, they were handed over to the third researcher for evaluation. Following this, included studies were screened according to the inclusion and exclusion criteria, and their quality was assigned by the QUADAS scale. Finally, Stata14.0 software and R language （v4.1.1） were used for data processing and meta-analysis to calculate the combined sensitivity and specificity, draw the receiver operating characteristic （ROC） curve, and calculate the area under the curve （AUC）. Results： A total of 12 literatures were included, with a total of 786 lesions. Meta analysis showed that the sensitivity of the combined effect was 0.96 （95% CI： 0.92-0.98）, the specificity of the combined effect was 0.92 （95%CI： 0.82-0.97）, and the AUC of the combined virtual cystoscope based on CT image for bladder tumor lesions was 0.98 （95% CI： 0.96-0.99）. Conclusion： Virtual cystoscopy based on three-dimensional reconstruction of CT images has high application value in the diagnosis of bladder tumor lesions and normal or benign lesions.
夏启东, 刘晨茜, 孙健瑄, 徐金洲, 徐梦瑶, 胡恒龙, 胡嘏, 王少刚, 刘征. 基于CT影像的虚拟膀胱镜技术对膀胱肿瘤诊断价值的Meta分析[J]. 微创泌尿外科杂志, 2022, 11(5): 305-310.
Xia QiDong, Liu ChenQian, Sun JianXuan, Xu JinZhou, Xu Mengyao, Hu Henglong, Hu Jia, Wang Shaogang, Liu Zheng. Accuracy of virtual cystoscopy based on CT images for differentiating bladder cancer lesions and normal tissues: a meta-analysis. JOURNAL OF MINIMALLY INVASIVE UROLOGY, 2022, 11(5): 305-310.
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