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Preoperative Prediction Power of Radiomics for Breast Cancer: A Systemic Review and Meta-Analysis
Zhenkai Li1, Juan Ye1, Hongdi Du1
1Department of Radiology, Suzhou Kowloon Hospital, Shanghai Jiaotong University School of Medicine, Suzhou, China.
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, I 2 = 76.44%) and 0.83 (95% CI: 0.78-0.87, I 2 = 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.
