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The Application of Radiomics in Breast MRI: A Review

Breast cancer has been a worldwide burden of women’s health. Although concerns have been raised for early diagnosis and timely treatment, the efforts are still needed for precision medicine and individualized treatment. Radiomics is a new technology with immense potential to obtain mineable data to...

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Detalles Bibliográficos
Autores principales: Ye, Dong-Man, Wang, Hao-Tian, Yu, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7225803/
https://www.ncbi.nlm.nih.gov/pubmed/32347167
http://dx.doi.org/10.1177/1533033820916191
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author Ye, Dong-Man
Wang, Hao-Tian
Yu, Tao
author_facet Ye, Dong-Man
Wang, Hao-Tian
Yu, Tao
author_sort Ye, Dong-Man
collection PubMed
description Breast cancer has been a worldwide burden of women’s health. Although concerns have been raised for early diagnosis and timely treatment, the efforts are still needed for precision medicine and individualized treatment. Radiomics is a new technology with immense potential to obtain mineable data to provide rich information about the diagnosis and prognosis of breast cancer. In our study, we introduced the workflow and application of radiomics as well as its outlook and challenges based on published studies. Radiomics has the potential ability to differentiate between malignant and benign breast lesions, predict axillary lymph node status, molecular subtypes of breast cancer, tumor response to chemotherapy, and survival outcomes. Our study aimed to help clinicians and radiologists to know the basic information of radiomics and encourage cooperation with scientists to mine data for better application in clinical practice.
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spelling pubmed-72258032020-05-20 The Application of Radiomics in Breast MRI: A Review Ye, Dong-Man Wang, Hao-Tian Yu, Tao Technol Cancer Res Treat Review Breast cancer has been a worldwide burden of women’s health. Although concerns have been raised for early diagnosis and timely treatment, the efforts are still needed for precision medicine and individualized treatment. Radiomics is a new technology with immense potential to obtain mineable data to provide rich information about the diagnosis and prognosis of breast cancer. In our study, we introduced the workflow and application of radiomics as well as its outlook and challenges based on published studies. Radiomics has the potential ability to differentiate between malignant and benign breast lesions, predict axillary lymph node status, molecular subtypes of breast cancer, tumor response to chemotherapy, and survival outcomes. Our study aimed to help clinicians and radiologists to know the basic information of radiomics and encourage cooperation with scientists to mine data for better application in clinical practice. SAGE Publications 2020-04-29 /pmc/articles/PMC7225803/ /pubmed/32347167 http://dx.doi.org/10.1177/1533033820916191 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Review
Ye, Dong-Man
Wang, Hao-Tian
Yu, Tao
The Application of Radiomics in Breast MRI: A Review
title The Application of Radiomics in Breast MRI: A Review
title_full The Application of Radiomics in Breast MRI: A Review
title_fullStr The Application of Radiomics in Breast MRI: A Review
title_full_unstemmed The Application of Radiomics in Breast MRI: A Review
title_short The Application of Radiomics in Breast MRI: A Review
title_sort application of radiomics in breast mri: a review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7225803/
https://www.ncbi.nlm.nih.gov/pubmed/32347167
http://dx.doi.org/10.1177/1533033820916191
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