Development and external validation of a radiomics model for assessment of HER2 positivity in men and women presenting with gastric cancer

Insights into Imaging

Original Article

Yan Zhang¹  Minggang Huang¹  Huiping Zhao²  Liuliang Yong³  Jianbo Gao³  Pan Liang³  Ming Cheng⁴ 

[1] Department of CT, Shaanxi Provincial People’s Hospital, No. 256, Youyi West Road, 710068, Xi’an, Shaanxi Province, China;Department of CT, Shaanxi Provincial People’s Hospital, No. 256, Youyi West Road, 710068, Xi’an, Shaanxi Province, China;Department of Radiology, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, 450052, Zhengzhou, Henan Province, China;Henan Key Laboratory of Image Diagnosis and Treatment for Digestive System Tumor & Henan International Joint Laboratory of Medical Imaging & Henan Engineering Laboratory of Tumor Imaging & Henan Key Laboratory of CT Imaging & Zhengzhou Key Laboratory of Medical Imaging Technology and Diagnosis, No. 1, East Jianshe Road, 450052, Zhengzhou, Henan Province, China;Department of Radiology, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, 450052, Zhengzhou, Henan Province, China;Henan Key Laboratory of Image Diagnosis and Treatment for Digestive System Tumor & Henan International Joint Laboratory of Medical Imaging & Henan Engineering Laboratory of Tumor Imaging & Henan Key Laboratory of CT Imaging & Zhengzhou Key Laboratory of Medical Imaging Technology and Diagnosis, No. 1, East Jianshe Road, 450052, Zhengzhou, Henan Province, China;Henan Key Laboratory of Image Diagnosis and Treatment for Digestive System Tumor & Henan International Joint Laboratory of Medical Imaging & Henan Engineering Laboratory of Tumor Imaging & Henan Key Laboratory of CT Imaging & Zhengzhou Key Laboratory of Medical Imaging Technology and Diagnosis, No. 1, East Jianshe Road, 450052, Zhengzhou, Henan Province, China;Department of Medical Information, The First Affiliated Hospital of Zhengzhou University, No. 1, East Jianshe Road, 450052, Zhengzhou, Henan Province, China;

关键词: Computed tomography;    Radiomics;    Nomogram;    HER2 testing;    Gastric cancer;   

DOI  :  10.1186/s13244-022-01361-x

 received in 2022-10-06, accepted in 2022-12-19,  发布年份 2022

来源: Springer

【 摘 要 】

BackgroundTo develop and externally validate a conventional CT-based radiomics model for identifying HER2-positive status in gastric cancer (GC).Methods950 GC patients who underwent pretreatment CT were retrospectively enrolled and assigned into a training cohort (n = 388, conventional CT), an internal validation cohort (n = 325, conventional CT) and an external validation cohort (n = 237, dual-energy CT, DECT). Radiomics features were extracted from venous phase images to construct the “Radscore”. On the basis of univariate and multivariate analyses, a conventional CT-based radiomics model was built in the training cohort, combining significant clinical-laboratory characteristics and Radscore. The model was assessed and validated regarding its diagnostic effectiveness and clinical practicability using AUC and decision curve analysis, respectively.ResultsLocation, clinical TNM staging, CEA, CA199, and Radscore were independent predictors of HER2 status (all p < 0.05). Integrating these five indicators, the proposed model exerted a favorable diagnostic performance with AUCs of 0.732 (95%CI 0.683–0.781), 0.703 (95%CI 0.624–0.783), and 0.711 (95%CI 0.625–0.798) observed for the training, internal validation, and external validation cohorts, respectively. Meanwhile, the model would offer more net benefits than the default simple schemes and its performance was not affected by the age, gender, location, immunohistochemistry results, and type of tissue for confirmation (all p > 0.05).ConclusionsThe conventional CT-based radiomics model had a good diagnostic performance of HER2 positivity in GC and the potential to generalize to DECT, which is beneficial to simplify clinical workflow and help clinicians initially identify potential candidates who might benefit from HER2-targeted therapy.

【 授权许可】

CC BY   
© The Author(s) 2023

【 图 表 】

Fig. 3

Fig. 4