Integrated radiomics and immune infiltration analysis to decipher immunotherapy efficacy in lung adenocarcinoma
Our study presented a promising avenue to harness the rich radiomics data to identify the specific immune subtype and integrate it into the existing clinical decision-making system to facilitate the predictive accuracy of immunotherapy in LUAD.
Authors
- Beizhan Liu
- Yuxuan Liao (ORCID: https://orcid.org/0000-0003-3243-0227)
- Yiyi Lei
- Qiang Zhang (ORCID: https://orcid.org/0000-0002-3634-7968)
- Chenxi Liu (ORCID: https://orcid.org/0009-0000-9770-1097)
- Dawei Zhou (ORCID: https://orcid.org/0000-0002-0694-3603)
- Shengjie Xue (ORCID: https://orcid.org/0000-0001-9298-9124)
- Wenjin Fan
- Hongyi Wang (ORCID: https://orcid.org/0000-0003-0189-3894)
Institutions
- Central South University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
- Third Xiangya Hospital (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-04-01
- DOI
- https://doi.org/10.21037/qims-24-130
- Citations
- 4
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 5.44