Development and validation of an interpretable radiomic signature for preoperative estimation of tumor mutational burden in lung adenocarcinoma

Development and validation of an interpretable radiomic signature for preoperative estimation of tumor mutational burden in lung adenocarcinoma

Background:Tumor mutational burden (TMB) is a promising biomarker for immunotherapy. The challenge of spatial and temporal heterogeneity and high costs weaken its power in clinical routine. The aim of this study is to estimate TMB preoperatively using a volumetric CT–based radiomic signature (rMB).M...

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Bibliographic Details
Main Authors: Yuwei Zhang, Yichen Yang, Yue Ma, Ying Liu, Zhaoxiang Ye
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Genetics
Subjects:
radiomics
tumor mutational burden
machine learning
lung adenocarcinoma
immunotherapy biomarker
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2024.1367434/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2024.1367434/full

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