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Preoperative Prediction Power of Radiomics for Breast Cancer: A Systemic Review and Meta-Analysis
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8920972/ https://www.ncbi.nlm.nih.gov/pubmed/35299744 http://dx.doi.org/10.3389/fonc.2022.837257 |
Sumario: | 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. |
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