中国肺癌杂志2026，Vol.29Issue(7)：540-547,8.DOI:10.3779/j.issn.1009-3419.2026.101.17
影像组学在肺癌检查点抑制剂相关肺炎诊疗中的研究进展
Advances in Radiomics for Immune Checkpoint Inhibitor-related Pneumonitis of Lung Cancer
摘要
Abstract
Immune checkpoint inhibitors(ICIs)have significantly improved the prognosis of patients with lung cancer.However,checkpoint inhibitor-related pneumonitis(CIP),as one of the most severe immune-related adverse events,lacks well-defined diagnostic criteria and reliable risk stratification tools.Radiomics enables high-throughput feature extraction from computed tomography images and provides a non-invasive technical approach for the early identification and risk stratifi-cation of CIP.This article systematically reviews the recent advances in the application of radiomics to risk prediction,diagnosis and differential diagnosis,and prognostic evaluation of CIP in lung cancer immunotherapy.Furthermore,it explores the value of integrating radiomics with multi-omics data in elucidating the pathogenesis of CIP,as well as the role of explainable artificial intelligence(XAI)in enhancing the clinical trustworthiness of models.关键词
肺肿瘤/影像组学/检查点抑制剂相关肺炎Key words
Lung neoplasm/Radiomics/Checkpoint inhibitor-related pneumonitis引用本文复制引用
张栋,彭莉,张天明,武凡祺,王虹..影像组学在肺癌检查点抑制剂相关肺炎诊疗中的研究进展[J].中国肺癌杂志,2026,29(7):540-547,8.基金项目
This paper was supported by the grants from Cuiying Scientific and Technological Innovation Program of The Sec-ond Hospital&Clinical Medical School,Lanzhou University(No.CY2024-LC-B03,to Hong WANG),and Gansu Province Science and Technology Plan Project(No.25JRRA607,to Tianming ZHANG),and Special Research Project of the Medi-cal and Health Science and Technology Development Research Center of the National Health Commission(No.WKZX-2024HK0117,to Hong WANG). 本文受兰州大学第二医院(第二临床医学院)萃英科技创新计划项目(No.CY2024-LC-B03)、甘肃省科技计划项目(No.25JRRA607)和国家卫生健康委医药卫生科技发展研究中心专项研究项目(No.WKZX2024HK0117)资助 （No.CY2024-LC-B03,to Hong WANG）
