CT-based radiomics for predicting radio-chemotherapy response and overall survival in nonsurgical esophageal carcinoma

Li, Chao1,2; Pan, Yuteng3,4; Yang, Xianghui5; Jing, Di1; Chen, Yu1; Luo, Chenhua6; Qiu, Jianfeng7,8; Hu, Yongmei1; Zhang, Zijian1; Shi, Liting7,8; Shen, Liangfang1; Zhou, Rongrong1; Lu, Shanfu9; Xiao, Xiang10; Chen, Tingyin11,12

2023-08-23

10.3389/fonc.2023.1219106

FRONTIERS IN ONCOLOGY   Impact Factor & Quartile

2234-943X

BackgroundTo predict treatment response and 2 years overall survival (OS) of radio-chemotherapy in patients with esophageal cancer (EC) by radiomics based on the computed tomography (CT) images.MethodsThis study retrospectively collected 171 nonsurgical EC patients treated with radio-chemotherapy from Jan 2010 to Jan 2019. 80 patients were randomly divided into training (n=64) and validation (n=16) cohorts to predict the radiochemotherapy response. The models predicting treatment response were established by Lasso and logistic regression. A total of 156 patients were allocated into the training cohort (n=110), validation cohort (n=23) and test set (n=23) to predict 2-year OS. The Lasso Cox model and Cox proportional hazards model established the models predicting 2-year OS.ResultsTo predict the radiochemotherapy response, WFK as a radiomics feature, and clinical stages and clinical M stages (cM) as clinical features were selected to construct the clinical-radiomics model, achieving 0.78 and 0.75 AUC (area under the curve) in the training and validation sets, respectively. Furthermore, radiomics features called WFI and WGI combined with clinical features (smoking index, pathological types, cM) were the optimal predictors to predict 2-year OS. The AUC values of the clinical-radiomics model were 0.71 and 0.70 in the training set and validation set, respectively.ConclusionsThis study demonstrated that planning CT-based radiomics showed the predictability of the radiochemotherapy response and 2-year OS in nonsurgical esophageal carcinoma. The predictive results prior to treatment have the potential to assist physicians in choosing the optimal therapeutic strategy to prolong overall survival.

radiomics planning ct radiation oncology treatment response esophageal carcinoma

SCI

English

Others

This work was funded by Academic Promotion Program of Shandong First Medical University (grant number: 2019QL009), the Taishan Scholars Program of Shandong Province (grant number: TS201712065) and Mobile Health Ministry of Education, China Mobile Joint Lab[TS201712065] ; Academic Promotion Program of Shandong First Medical University[2020MHL02015] ; null[2019QL009]

Oncology

Oncology

WOS:001059261600001

FRONTIERS MEDIA SA

Web of Science

1.Cent South Univ, Xiangya Hosp, Natl Clin Res Ctr Geriatr Disorders, Dept Oncol, Changsha, Peoples R China
2.Southern Univ Sci & Technol, Shenzhen Peoples Hosp, Dept Radiat Oncol, Affiliated Hosp 1, Shenzhen 518020, Guangdong, Peoples R China
3.Shandong First Med Univ, Med Sci & Technol Innovat Ctr, Jinan, Peoples R China
4.Shandong Acad Med Sci, Jinan, Peoples R China
5.Changsha Cent Hosp, Dept Oncol, Changsha, Hunan, Peoples R China
6.Cent South Univ, Xiangya Sch Med, Changsha, Hunan, Peoples R China
7.Shandong First Med Univ, Med Engn & Technol Res Ctr, Dept Radiol, Shenzhen, Guangdong, Peoples R China
8.Shandong Acad Med Sci, China Technol, Shenzhen, Guangdong, Peoples R China
9.Percept Vis Med Technol Co Ltd, Guangzhou, Peoples R China
10.Cent South Univ, Xiangya Sch Med, Affiliated Canc Hosp, Hunan Canc Hosp, Changsha, Hunan, Peoples R China
11.Cent South Univ, Dept Network, Changsha, Hunan, Peoples R China
12.Cent South Univ, Xiangya Hosp, Informat Ctr, Changsha, Hunan, Peoples R China

Li, Chao,Pan, Yuteng,Yang, Xianghui,et al. CT-based radiomics for predicting radio-chemotherapy response and overall survival in nonsurgical esophageal carcinoma[J]. FRONTIERS IN ONCOLOGY,2023,13.

Li, Chao.,Pan, Yuteng.,Yang, Xianghui.,Jing, Di.,Chen, Yu.,...&Chen, Tingyin.(2023).CT-based radiomics for predicting radio-chemotherapy response and overall survival in nonsurgical esophageal carcinoma.FRONTIERS IN ONCOLOGY,13.

Li, Chao,et al."CT-based radiomics for predicting radio-chemotherapy response and overall survival in nonsurgical esophageal carcinoma".FRONTIERS IN ONCOLOGY 13(2023).