TRANS: a prediction model for EGFR mutation status in NSCLC based on radiomics and clinical features

TRANS: a prediction model for EGFR mutation status in NSCLC based on radiomics and clinical features

Abstract Background Early detection of epidermal growth factor receptor (EGFR) is critical for guiding therapeutic decisions in non-small-cell lung cancer (NSCLC). The study aims to develop a predictive model for EGFR mutations with multicohort data. Methods The study enrolled 254 NSCLC patients of...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhigang Chen, Huiying Lu, Ao Liu, Jia Weng, Lei Gan, Lina Zhou, Xiao Ding, Shicheng Li
Format: Article
Language:English
Published: BMC 2025-06-01
Series:Respiratory Research
Subjects:
EGFR mutation
NSCLC
Radiomics
Clinical features
Nomogram
Online Access:https://doi.org/10.1186/s12931-025-03287-6
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12931-025-03287-6

Similar Items