国际医学放射学杂志2024，Vol.47Issue(3)：294-299,6.DOI:10.19300/j.2024.Z21019
基于人工智能的影像组学在肺癌诊疗中的应用进展
Progress in the application of artificial intelligence-based imaging in the diagnosis and treatment of lung cancer
摘要
Abstract
Early diagnosis and treatment of lung cancer are conducive to improve patient survival rates.Radiomics enables the extraction and quantitative analysis of textural features from images such as CT,MRI,and PET/CT.When combined with artificial intelligence(AI)technologies,including machine learning and deep learning,radiomics can provide robust support for the clinical management of lung cancer.This review summarizes the advancements in AI-driven radiomics for diagnosing the benign or malignant nature of lung nodules,tumor typing and staging,predicting genetic mutation status,and assessing treatment outcomes and prognosis.关键词
人工智能/影像组学/肺癌/体层摄影术,X线计算机/磁共振成像/正电子发射体层成像Key words
Artificial intelligence/Radiomics/Lung cancer/Tomography,X-ray computed/Magnetic resonance imaging/Positron emission tomography分类
医药卫生引用本文复制引用
冉姗姗,陈佳情,罗朝芬,王思琪..基于人工智能的影像组学在肺癌诊疗中的应用进展[J].国际医学放射学杂志,2024,47(3):294-299,6.基金项目
国家自然科学基金项目(62005325) （62005325）
贵州省科技计划项目(黔科合基础-ZK[2021]一般324) （黔科合基础-ZK[2021]一般324）
遵义医科大学博士科研启动项目(F-ZH-005) （F-ZH-005）
贵州省大学生创新创业计划项目(S202310661304) （S202310661304）
