A Machine Learning Model Based on PET/CT Radiomics and Clinical Characteristics Predicts Tumor Immune Profiles in Non-Small Cell Lung Cancer: A Retrospective Multicohort Study

A Machine Learning Model Based on PET/CT Radiomics and Clinical Characteristics Predicts Tumor Immune Profiles in Non-Small Cell Lung Cancer: A Retrospective Multicohort Study

BackgroundThe tumor immune microenvironment (TIME) phenotypes have been reported to mainly impact the efficacy of immunotherapy. Given the increasing use of immunotherapy in cancers, knowing an individual’s TIME phenotypes could be helpful in screening patients who are more likely to respond to immu...

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Bibliographic Details
Main Authors: Haipeng Tong, Jinju Sun, Jingqin Fang, Mi Zhang, Huan Liu, Renxiang Xia, Weicheng Zhou, Kaijun Liu, Xiao Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Immunology
Subjects:
positron emission tomography/computed tomography
radiomics
tumor immune microenvironment
lung cancer
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2022.859323/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2022.859323/full

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