国际医学放射学杂志2026，Vol.49Issue(2)：190-196,7.DOI:10.19300/j.2026.Z22454
晚期非小细胞肺癌免疫治疗生物标志物及疗效预测的研究进展
Research progress on biomarkers and treatment response prediction for immunotherapy in advanced non-small cell lung cancer
摘要
Abstract
Patients with advanced non-small cell lung cancer(NSCLC)exhibit considerable variability in response to immunotherapy.The use of biomarkers or direct prediction of treatment efficacy is of great significance for identifying populations that may benefit.This review elaborates and analyzes the research progress,challenges,and future research directions of AI models in predicting immunotherapy biomarkers,developing non-traditional biomarkers,and predicting treatment response in advanced NSCLC.关键词
非小细胞肺癌/免疫治疗/生物标志物/人工智能/疗效预测/影像组学Key words
Non-small cell lung cancer/Immunotherapy/Biomarker/Artificial intelligence/Therapeutic effect prediction/Radiomics分类
医药卫生引用本文复制引用
胡嘉捷,石磊..晚期非小细胞肺癌免疫治疗生物标志物及疗效预测的研究进展[J].国际医学放射学杂志,2026,49(2):190-196,7.基金项目
国家自然科学基金面上项目(82272085) （82272085）
