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=12

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=<sec><title>Background</title><p>To evaluate the preoperative predictive value of radiomics in the diagnosis of breast cancer (BC).</p></sec><sec><title>Methods</title><p>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.</p></sec><sec><title>Results</title><p>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, <italic>I</italic><sup>2 =</sup> 76.44%) and 0.83 (95% CI: 0.78–0.87, <italic>I</italic><sup>2 =</sup> 81.79%), respectively. The AUC based on the SROC curve was 0.91, indicating a high diagnostic value.</p></sec><sec><title>Conclusion</title><p>Radiomics has shown excellent diagnostic performance in the preoperative prediction of BC and is expected to be a promising method in clinical practice.</p></sec>