Prediction of EGFR mutations in non-small cell lung cancer: a nomogram based on 18F-FDG PET and thin-section CT radiomics with machine learning

Prediction of EGFR mutations in non-small cell lung cancer: a nomogram based on 18F-FDG PET and thin-section CT radiomics with machine learning

BackgroundThis study aimed to develop and validate radiomics-based nomograms for the identification of EGFR mutations in non-small cell lung cancer (NSCLC).MethodsA retrospective analysis was performed on 313 NSCLC patients, who were randomly divided into training (n = 250) and validation (n = 63) g...

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Bibliographic Details
Main Authors: Jianbo Li, Qin Shi, Yi Yang, Jikui Xie, Qiang Xie, Ming Ni, Xuemei Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Oncology
Subjects:
nomogram
non-small cell lung cancer
PET/CT
machine learning
epidermal growth factor receptor
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1510386/full
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https://www.frontiersin.org/articles/10.3389/fonc.2025.1510386/full

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