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Progress of MRI and Radiomics in predicting the response to neoadjuvant therapy for breast cancer in different molecular subtypes
CHEN Shuluan  CHE Shu'nan  LI Jing 

Cite this article as: CHEN S L, CHE S N, LI J. Progress of MRI and Radiomics in predicting the response to neoadjuvant therapy for breast cancer in different molecular subtypes[J]. Chin J Magn Reson Imaging, 2023, 14(6): 156-160. DOI:10.12015/issn.1674-8034.2023.06.028.


[Abstract] Neoadjuvant therapy (NAT) is an important part of comprehensive treatment in breast cancer. Magnetic resonance imaging (MRI) is a major method in predicting the response to NAT, but still has certain limitations and some differences in the accuracy of efficacy evaluation of different molecular subtypes of breast cancer. Existing researches show that the radiomics model based on MRI can improve prediction performance. Aiming at different molecular subtypes of breast cancer, the establishment of image omics and deep learning models combined with multi-parameter MRI can further improve the prediction efficiency and accurately guide clinical decision-making. In this paper, the value of MRI in evaluating NAT efficacy of different molecular subtypes of breast cancer, the predictive efficacy of combined imagomics and deep learning models, as well as the problems and challenges faced were reviewed, aiming to provide references for further research and clinical practice.
[Keywords] breast cancer；molecular subtypes；neoadjuvant therapy；response evaluation；magnetic resonance imaging；radiomics；deep learning

CHEN Shuluan   CHE Shu'nan   LI Jing*  

Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

Corresponding author: Li J, E-mail: dr.lijing@163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS Beijing Hope Run Special Fund of Cancer Foundation of China (No. LC2018B08).
Received  2022-07-18
Accepted  2023-05-17
DOI: 10.12015/issn.1674-8034.2023.06.028
Cite this article as: CHEN S L, CHE S N, LI J. Progress of MRI and Radiomics in predicting the response to neoadjuvant therapy for breast cancer in different molecular subtypes[J]. Chin J Magn Reson Imaging, 2023, 14(6): 156-160. DOI:10.12015/issn.1674-8034.2023.06.028.

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