基于CT的影像组学分析在预测和鉴别治疗相关性肺炎中的应用  

Application of CT-based radiomics analysis in predicting and identifying of treatment-associated pneumonitis

作　　者：曹晓辉[1] 于荭[2] 李万湖 Cao Xiaohui;Yu Hong;Li Wanhu(Department of Oncology,Third Hospital of Hebei Medical University,Shijiazhuang 050051,China;Department of Radiology,Third Hospital of Hebei Medical University,Shijiazhuang 050051,China;Department of Radiology,Shandong Cancer Hospital and Institute,Shandong First Medical University and Shandong Academy of Medical Sciences,Jinan 250117,China)

机构地区：[1]河北医科大学第三医院肿瘤科,石家庄050051 [2]河北医科大学第三医院影像科,石家庄050051 [3]山东省肿瘤防治研究院(山东省肿瘤医院),山东第一医科大学(山东省医学科学院)影像科,济南250117

出　　处：《国际肿瘤学杂志》2023年第2期107-111,共5页Journal of International Oncology

基　　金：山东省肿瘤医院临床研究培育项目(2020-19);北京康盟慈善基金会伦琴影像科研专项(SD-202008-017)。

摘　　要：影像组学作为一种非侵入性的图像分析方法,能够深度发掘隐藏在医学影像背后的临床信息,近几年在医学上得到了广泛应用。同期放化疗后巩固免疫治疗已经成为局部晚期非小细胞肺癌的标准治疗方案,治疗相关不良反应放射性肺炎(RP)和免疫检查点抑制剂相关性肺炎(CIP)的预测和鉴别对于治疗方案的制定及后续治疗方案的选择至关重要。基于CT的影像组学分析在预测RP和CIP以及二者鉴别方面展现了巨大潜力。As a non-invasive image analysis method,radiomics can deeply explore the clinical information hidden behind medical images,and has been widely used in medicine in recent years.Consolidation immunotherapy after concurrent chemoradiotherapy has become the standard treatment for locally advanced non-small cell lung cancer.The prediction and identification of treatment-associated adverse events radiation pneumonitis(RP)and immune checkpoint inhibitor-related pneumonitis(CIP)are of vital importance for the formulation of treatment plan and the selection of subsequent treatment.CT-based radiomics analysis shows great potential in predicting and identifying RP and CIP.

关 键 词：影像组学 放射性肺炎 免疫检查点抑制剂相关性肺炎 精准放疗 

分 类 号：R563.1[医药卫生—呼吸系统]