Application of CT-based radiomics analysis in predicting and identifying of treatment-associated pneumonitis
10.3760/cma.j.cn371439-20220726-00022
- VernacularTitle: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
- Author:
Xiaohui CAO
1
;
Hong YU
;
Wanhu LI
Author Information
1. 河北医科大学第三医院肿瘤科，石家庄 050051
- Keywords:
Radiomics;
Radiation pneumonitis;
Immune checkpoint inhibitor-related pneumonitis;
Precision radiotherapy
- From:
Journal of International Oncology
2023;50(2):107-111
- CountryChina
- Language:Chinese
-
Abstract:
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.
