The Predictive Value of <sup>18</sup> F-FDG PET/CT Radiomics in EGFR Gene Mutation of Lung Adenocarcinoma
The radiomics model and the combined model integrating Rad-score with clinical factors demonstrated comparable abilities in effectively predicting EGFR mutation status in patients with lung adenocarcinoma. These models could offer a non-invasive approach for identifying EGFR mutations.
Authors
- Chunlei Zhao
- Shengwei Fang
- Min Tang
Institutions
- Wuhan No.1 Hospital (CN)
- Wuhan No.9 Hospital (CN)
- Hangzhou Cancer Hospital (CN)
Publication Details
- Journal
- Current Medical Imaging Formerly Current Medical Imaging Reviews
- Published
- 2026-01-13
- DOI
- https://doi.org/10.2174/0115734056428204251128060448
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00