Radiomics-based machine learning for differentiating lung squamous cell carcinoma and adenocarcinoma using T1-enhanced MRI of brain metastases

Radiomics-based machine learning for differentiating lung squamous cell carcinoma and adenocarcinoma using T1-enhanced MRI of brain metastases

ObjectiveThis study aims to develop and evaluate a radiomics-based machine learning model using T1-enhanced magnetic resonance imaging (MRI) features to differentiate between lung squamous cell carcinoma (SCC) and adenocarcinoma (AC) in patients with brain metastases (BMs). While prior studies have...

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Bibliographic Details
Main Authors: Xueming Xia, Qiaoyue Tan, Wei Du, Qiheng Gou
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Oncology
Subjects:
radiomics
magnetic resonance imaging
lung cancer
brain metastases
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1599853/full
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https://www.frontiersin.org/articles/10.3389/fonc.2025.1599853/full

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