MRI radiomics and biological correlations for predicting axillary lymph node burden in early-stage breast cancer
The MRI radiomics model effectively predicted the ALN burden and prognosis of early-stage breast cancer. Moreover, radiogenomic analysis revealed key cellular and immune patterns associated with the radscore.
Authors
- Maosheng Xu (ORCID: https://orcid.org/0000-0002-2396-1600)
- Zhong‐Hua Chen (ORCID: https://orcid.org/0000-0002-7531-320X)
- Minping Hong
- Sijia Fan (ORCID: https://orcid.org/0009-0003-9231-7389)
- Jie Hou (ORCID: https://orcid.org/0000-0003-2349-9230)
- Xiaobo Chen (ORCID: https://orcid.org/0000-0001-8755-6199)
- Junyan Wang (ORCID: https://orcid.org/0000-0002-1518-6974)
- Changyu Zhou (ORCID: https://orcid.org/0000-0003-2688-808X)
- Yanqi Huang (ORCID: https://orcid.org/0000-0002-0286-3964)
- Chaokang Han (ORCID: https://orcid.org/0009-0001-0248-8543)
- Zeyan Xu (ORCID: https://orcid.org/0000-0003-1384-3536)
- Yanting Liang (ORCID: https://orcid.org/0000-0003-4892-8265)
- Zhen Fang (ORCID: https://orcid.org/0000-0003-4310-7898)
- Keng Ling
- P H Lai
Institutions
- Zhejiang Chinese Medical University (CN)
- Kunming Medical University (CN)
- Jiaxing University (CN)
- Zhejiang Provincial People's Hospital (CN)
- First Hospital of Jiaxing (CN)
- Guangdong Academy of Medical Sciences (CN)
- First People's Hospital of Nanning (CN)
- Guangdong Provincial People's Hospital (CN)
- First Affiliated Hospital Zhejiang University (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2024-09-06
- DOI
- https://doi.org/10.1186/s12967-024-05619-4
- Citations
- 18
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 7.28
Funders
- Natural Science Foundation of Guangdong Province
- Science and Technology Bureau of Jiaxing City
- Zhejiang Traditional Chinese Medicine Administration
- Natural Science Foundation of Guangdong Province for Distinguished Young Scholars
- Medical Science and Technology Project of Zhejiang Province
- Science and Technology Program of Zhejiang Province
- Zhejiang Provincial Outstanding Youth Science Foundation