放射组学对乳腺癌的术前预测能力：一项系统评价和荟萃分析。
Preoperative Prediction Power of Radiomics for Breast Cancer: A Systemic Review and Meta-Analysis.
作者信息
Li Zhenkai, Ye Juan, Du Hongdi, Cao Ying, Wang Ying, Liu Desen, Zhu Feng, Shen Hailin
机构信息
Department of Radiology, Suzhou Kowloon Hospital, Shanghai Jiaotong University School of Medicine, Suzhou, China.
Department of Radiotherapy, Suzhou Kowloon Hospital, Shanghai Jiaotong University School of Medicine, Suzhou, China.
出版信息
Front Oncol. 2022 Mar 1;12:837257. doi: 10.3389/fonc.2022.837257. eCollection 2022.
BACKGROUND
To evaluate the preoperative predictive value of radiomics in the diagnosis of breast cancer (BC).
METHODS
By searching PubMed and Embase libraries, our study identified 19 eligible studies. We conducted a meta-analysis to assess the differential value in the preoperative assessment of BC using radiomics methods.
RESULTS
Nineteen radiomics studies focusing on the diagnostic efficacy of BC and involving 5865 patients were enrolled. The integrated sensitivity and specificity were 0.84 (95% CI: 0.80-0.87, 76.44%) and 0.83 (95% CI: 0.78-0.87, 81.79%), respectively. The AUC based on the SROC curve was 0.91, indicating a high diagnostic value.
CONCLUSION
Radiomics has shown excellent diagnostic performance in the preoperative prediction of BC and is expected to be a promising method in clinical practice.
背景
评估影像组学在乳腺癌（BC）诊断中的术前预测价值。
方法
通过检索PubMed和Embase数据库，本研究纳入了19项符合条件的研究。我们进行了一项荟萃分析，以评估使用影像组学方法在BC术前评估中的鉴别价值。
结果
纳入了19项聚焦于BC诊断效能且涉及5865例患者的影像组学研究。综合敏感性和特异性分别为0.84（95%CI：0.80 - 0.87，76.44%）和0.83（95%CI：0.78 - 0.87，81.79%）。基于SROC曲线的AUC为0.91，表明具有较高的诊断价值。
结论
影像组学在BC术前预测中显示出优异的诊断性能，有望成为临床实践中的一种有前景的方法。
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