AUTHOR=Li Zhenkai , Ye Juan , Du Hongdi , Cao Ying , Wang Ying , Liu Desen , Zhu Feng , Shen Hailin 

TITLE=Preoperative Prediction Power of Radiomics for Breast Cancer: A Systemic Review and Meta-Analysis

JOURNAL=Frontiers in Oncology

VOLUME=Volume 12 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2022.837257

DOI=10.3389/fonc.2022.837257

ISSN=2234-943X

ABSTRACT=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, I2 =76.44%) and 0.83 (95% CI: 0.78–0.87, I2 =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.