CT理论与应用研究2024，Vol.33Issue(3)：385-390,6.DOI:10.15953/j.ctta.2023.071
影像组学技术在非小细胞肺癌预后中的应用研究
The Application of Radiomics in the Prognosis of Non-small Cell Lung Cancer
摘要
Abstract
Lung cancer remains a leading cause of cancer-related mortality worldwide,with non-small cell lung cancer(NSCLC)as the most prevalent type.Accurately predicting NSCLC prognosis is crucial for optimizing patient survival.However,traditional assessment tools often lack the comprehensive and precise capability to effectively stratify patient risk.Recent research has focused on exploring the potential of imaging histology technology for NSCLC prognosis.This article delves into the core principles of imaging histology and reviews the current state of research on its application in predicting NSCLC outcomes.关键词
机器学习/影像组学/非小细胞肺癌Key words
machine learning/radiomics/non-small cell lung cancer分类
医药卫生引用本文复制引用
陈晓,杨斌..影像组学技术在非小细胞肺癌预后中的应用研究[J].CT理论与应用研究,2024,33(3):385-390,6.基金项目
国家自然科学基会地区科学基金项目(基于CT定量机器学习在非小细胞肺癌精准个体化治疗中的应用研究(82160348)) （基于CT定量机器学习在非小细胞肺癌精准个体化治疗中的应用研究(82160348）
北京医学奖励基金会睿影科研基金(二期)优秀项目(基于CT影像组学在预测非小细胞肺癌预后中的应用研究(YXJL-2022-0665-0216)). （二期）
