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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 |
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author | Li, Zhenkai Ye, Juan Du, Hongdi Cao, Ying Wang, Ying Liu, Desen Zhu, Feng Shen, Hailin |
author_facet | Li, Zhenkai Ye, Juan Du, Hongdi Cao, Ying Wang, Ying Liu, Desen Zhu, Feng Shen, Hailin |
author_sort | Li, Zhenkai |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8920972 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89209722022-03-16 Preoperative Prediction Power of Radiomics for Breast Cancer: A Systemic Review and Meta-Analysis Li, Zhenkai Ye, Juan Du, Hongdi Cao, Ying Wang, Ying Liu, Desen Zhu, Feng Shen, Hailin Front Oncol Oncology 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. Frontiers Media S.A. 2022-03-01 /pmc/articles/PMC8920972/ /pubmed/35299744 http://dx.doi.org/10.3389/fonc.2022.837257 Text en Copyright © 2022 Li, Ye, Du, Cao, Wang, Liu, Zhu and Shen https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Li, Zhenkai Ye, Juan Du, Hongdi Cao, Ying Wang, Ying Liu, Desen Zhu, Feng Shen, Hailin Preoperative Prediction Power of Radiomics for Breast Cancer: A Systemic Review and Meta-Analysis |
title | Preoperative Prediction Power of Radiomics for Breast Cancer: A Systemic Review and Meta-Analysis |
title_full | Preoperative Prediction Power of Radiomics for Breast Cancer: A Systemic Review and Meta-Analysis |
title_fullStr | Preoperative Prediction Power of Radiomics for Breast Cancer: A Systemic Review and Meta-Analysis |
title_full_unstemmed | Preoperative Prediction Power of Radiomics for Breast Cancer: A Systemic Review and Meta-Analysis |
title_short | Preoperative Prediction Power of Radiomics for Breast Cancer: A Systemic Review and Meta-Analysis |
title_sort | preoperative prediction power of radiomics for breast cancer: a systemic review and meta-analysis |
topic | Oncology |
url | 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 |
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