Radiation pneumonitis prediction with dual-radiomics for esophageal cancer underwent radiotherapy

doi:10.1186/s13014-024-02462-1

科研成果详情

题名	Radiation pneumonitis prediction with dual-radiomics for esophageal cancer underwent radiotherapy
作者	Li, Chenyu1; Zhang, Ji1; Ning, Boda1; Xu, Jiayi 1; Lin, Zhixi1; Zhang, Jicheng1; Tan, Ninghang1,6; Yu, Xianwen1,6; Su, Wanyu1,6; Ni, Weihua1,6; Yu, Wenliang 2; Wu, Jianping2; Cao, Guoquan5; Cao, Zhuo 3; Xie, Congying1; Jin, Xiance1,4
发表日期	2024-12
发表期刊	Radiation Oncology 影响因子和分区
语种	英语
原始文献类型	Article
关键词	Dosiomics Esophageal cancer Radiation pneumonitis Radiomics
其他关键词	LUNG-CANCER ; VOLUME ; VMAT
摘要	Background: To integrate radiomics and dosiomics features from multiple regions in the radiation pneumonia (RP grade ≥ 2) prediction for esophageal cancer (EC) patients underwent radiotherapy (RT). Methods: Total of 143 EC patients in the authors’ hospital (training and internal validation: 70%:30%) and 32 EC patients from another hospital (external validation) underwent RT from 2015 to 2022 were retrospectively reviewed and analyzed. Patients were dichotomized as positive (RP+) or negative (RP-) according to CTCAE V5.0. Models with radiomics and dosiomics features extracted from single region of interest (ROI), multiple ROIs and combined models were constructed and evaluated. A nomogram integrating radiomics score (Rad_score), dosiomics score (Dos_score), clinical factors, dose-volume histogram (DVH) factors, and mean lung dose (MLD) was also constructed and validated. Results: Models with Rad_score_Lung&Overlap and Dos_score_Lung&Overlap achieved a better area under curve (AUC) of 0.818 and 0.844 in the external validation in comparison with radiomics and dosiomics models with features extracted from single ROI. Combining four radiomics and dosiomics models using support vector machine (SVM) improved the AUC to 0.854 in the external validation. Nomogram integrating Rad_score, and Dos_score with clinical factors, DVH factors, and MLD further improved the RP prediction AUC to 0.937 and 0.912 in the internal and external validation, respectively. Conclusion: CT-based RP prediction model integrating radiomics and dosiomics features from multiple ROIs outperformed those with features from a single ROI with increased reliability for EC patients who underwent RT.
资助项目	Zhejiang Provincial Natural Science Foundation of China[LTGY23H180010];the key R & D project of the Department of Science and Technology of Zhejiang Province[2020C03028];the Major project of Wenzhou Science and Technology Bureau[ZY2020011];the key project jointly built by the Provinces and Ministry of Zhejiang Health Commission[2021438235];Zhejiang Engineering Research Center for Innovation and Application of Intelligent Radiotherapy Technology[ZY2022016]
出版者	BioMed Central Ltd
ISSN	1748-717X
EISSN	1748-717X
卷号	19 期号:1
DOI	10.1186/s13014-024-02462-1
页数	11
WOS类目	Oncology ; Radiology, Nuclear Medicine & Medical Imaging
WOS研究方向	Oncology ; Radiology, Nuclear Medicine & Medical Imaging
WOS记录号	WOS:001243060600001
收录类别	SCOPUS ; PUBMED ; SCIE
URL	查看原文
PubMed ID	38851718
SCOPUSEID	2-s2.0-85195534135
通讯作者地址	[Xie, Congying]Radiotherapy Center,First Affiliated Hospital of Wenzhou Medical University,Wenzhou,325000,China ; [Jin, Xiance]Radiotherapy Center,First Affiliated Hospital of Wenzhou Medical University,Wenzhou,325000,China ; [Cao, Zhuo]Department of Respiratory,Lishui People’s Hospital,Lishui,323000,China
Scopus学科分类	Oncology;Radiology, Nuclear Medicine and Imaging
SCOPUS_ID	SCOPUS_ID:85195534135
引用统计
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/215003
专题	附属第一医院温州医科大学基础医学院（机能实验教学中心）其他_温州医科大学附属衢州医院
通讯作者	Cao, Zhuo; Xie, Congying; Jin, Xiance
作者单位	1.Radiotherapy Center,First Affiliated Hospital of Wenzhou Medical University,Wenzhou,325000,China; 2.Department of Radiation Oncology,The Quzhou Affiliated Hospital of Wenzhou Medical University,Quzhou People’ s Hospital,Quzhou,324000,China; 3.Department of Respiratory,Lishui People’s Hospital,Lishui,323000,China; 4.School of Basic Medical Science,Wenzhou Medical University,Wenzhou,325000,China; 5.Radiological Department,First Affiliated Hospital of Wenzhou Medical University,Wenzhou,325000,China; 6.Cixi Biomedical Research Institute,Wenzhou Medical University,Zhejiang,315000,China
第一作者单位	附属第一医院
通讯作者单位	附属第一医院
第一作者的第一单位	附属第一医院
推荐引用方式 GB/T 7714	Li, Chenyu,Zhang, Ji,Ning, Boda,et al. Radiation pneumonitis prediction with dual-radiomics for esophageal cancer underwent radiotherapy[J]. Radiation Oncology,2024,19(1).
APA	Li, Chenyu., Zhang, Ji., Ning, Boda., Xu, Jiayi., Lin, Zhixi., ... & Jin, Xiance. (2024). Radiation pneumonitis prediction with dual-radiomics for esophageal cancer underwent radiotherapy. Radiation Oncology, 19(1).
MLA	Li, Chenyu,et al."Radiation pneumonitis prediction with dual-radiomics for esophageal cancer underwent radiotherapy".Radiation Oncology 19.1(2024).