Radiomic features and tumor immune microenvironment associated with anaplastic lymphoma kinase-rearranged lung adenocarcinoma and their prognostic value
This study demonstrated the potential role of radiomics and TIME characteristics in identifying <i>ALK</i> rearrangements in lung adenocarcinomas and the prognostic value of radiomics in predicting DFS in patients with <i>ALK</i> rearrangements.
Authors
- Hua Wang (ORCID: https://orcid.org/0000-0001-7311-4576)
- Ying Han (ORCID: https://orcid.org/0000-0001-5181-5267)
- Huaxin Li
- Zhaoxiang Ye (ORCID: https://orcid.org/0000-0003-3157-8393)
- Wenya Feng
Institutions
- Tianjin Medical University Cancer Institute and Hospital (CN)
Publication Details
- Journal
- Frontiers in Genetics
- Published
- 2025-05-01
- DOI
- https://doi.org/10.3389/fgene.2025.1581937
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Tianjin Municipal Health Commission
- National Natural Science Foundation of China
- Tianjin Medical University
- Cancer Institute and Hospital, Chinese Academy of Medical Sciences