CT-based radiomics analysis for predicting EGFR and ALK mutational status in non‑small cell lung cancer

CT-based radiomics analysis for predicting EGFR and ALK mutational status in non‑small cell lung cancer

Abstract Objective To investigate the feasibility of multimodal imaging genomics models in predicting major genetic alterations and assessing prognostic outcomes of patients with lung cancer following various treatments. Methods Computer tomography (CT) images of 533 patients diagnosed with lung ade...

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Bibliographic Details
Main Authors: Ruimin He, Tengxiang Li, Li Sun, Peng Lu, Dan Sun, Rongrong Zhou, Dangchi Li, Xiaohua Yang, Zijian Zhang
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Holistic Integrative Oncology
Subjects:
Radiogenomics
Lung adenocarcinoma
Gene mutation
Machine learning
Online Access:https://doi.org/10.1007/s44178-025-00177-1
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