Clinical data combined with CT radiomics features for evaluating programmed cell death-ligand 1 status in gastric cancer
10.13929/j.issn.1003-3289.2024.09.020
- VernacularTitle:临床资料联合CT影像组学特征评估胃癌程序性死亡配体1状态
- Author:
Qinglong LI
1
;
Pengchao ZHAN
;
Jingjing XING
;
Xing LIU
;
Pan LIANG
;
Yonggao ZHANG
;
Jianbo GAO
Author Information
1. 郑州大学第一附属医院放射科,河南郑州 450052
- Keywords:
stomach neoplasms;
programmed cell death 1 ligand 2 protein;
tomography,X-ray computed;
radiomics
- From:
Chinese Journal of Medical Imaging Technology
2024;40(9):1371-1376
- CountryChina
- Language:Chinese
-
Abstract:
Objective To observe the value of clinical data combined with CT radiomics features for evaluating programmed cell death-ligand 1(PD-L1)status in gastric cancer.Methods Totally 277 gastric cancer patients were retrospectively enrolled and randomly divided into training set(n=195)and validation set(n=82)at the ratio of 7:3.There were 88 cases in PD-L1 positive subgroup and 107 cases in negative subgroup of training set,while 37 and 45 cases of validation set,respectively.The clinical and conventional CT features were compared between subgroups in both sets,the independent influencing factors of PD-L1 status in gastric cancer were analyzed,and radiomic features were screened based on CT data.Then clinical model,radiomics model and clinical-radiomics model were established,and the efficacy of each model for evaluating PD-L1 status in gastric cancer was observed.Results In training set,Borrmann type,cN stage,cM stage,clinical stage,maximum diameter and thickness were significant difference between subgroups(all P＜0.05).Borrmann type,clinical stage and the thickness were all independent influencing factors of PD-L1 positivity(all P＜0.05).The area under the curve(AUC)of clinical model,radiomic model and clinical-radiomics model for evaluating PD-L1 status in gastric cancer in training set was 0.748,0.832 and 0.841,respectively,and was 0.657,0.801 and 0.789 in validation set,respectively.AUC of clinical model was lower than the other models(all P＜0.05).Conclusion Clinical data combined with CT radiomics features was helpful for evaluating PD-L1 status in gastric cancer.
