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Risk stratification for 1- to 2-cm gastric gastrointestinal stromal tumors: visual assessment of CT and EUS high-risk features versus CT radiomics analysis.

Authors :
Jia, Xiaoxuan
Wan, Lijuan
Chen, Xiaoshan
Ji, Wanying
Huang, Shaoqing
Qi, Yuangang
Cui, Jingjing
Wei, Shengcai
Cheng, Jin
Chai, Fan
Feng, Caizhen
Liu, Yulu
Zhang, Hongmei
Sun, Yingshi
Hong, Nan
Rao, Shengxiang
Zhang, Xinhua
Xiao, Youping
Ye, Yingjiang
Tang, Lei
Source :
European Radiology. Apr2023, Vol. 33 Issue 4, p2768-2778. 11p. 2 Diagrams, 4 Charts, 3 Graphs.
Publication Year :
2023

Abstract

Objectives: To investigate the ability of CT and endoscopic sonography (EUS) in predicting the malignant risk of 1–2-cm gastric gastrointestinal stromal tumors (gGISTs) and to clarify whether radiomics could be applied for risk stratification. Methods: A total of 151 pathologically confirmed 1–2-cm gGISTs from seven institutions were identified by contrast-enhanced CT scans between January 2010 and March 2021. A detailed description of EUS morphological features was available for 73 gGISTs. The association between EUS or CT high-risk features and pathological malignant potential was evaluated. gGISTs were randomly divided into three groups to build the radiomics model, including 74 in the training cohort, 37 in validation cohort, and 40 in testing cohort. The ROIs covering the whole tumor volume were delineated on the CT images of the portal venous phase. The Pearson test and least absolute shrinkage and selection operator (LASSO) algorithm were used for feature selection, and the ROC curves were used to evaluate the model performance. Results: The presence of EUS- and CT-based morphological high-risk features, including calcification, necrosis, intratumoral heterogeneity, irregular border, or surface ulceration, did not differ between very-low and intermediate risk 1–2-cm gGISTs (p > 0.05). The radiomics model consisting of five radiomics features showed favorable performance in discrimination of malignant 1–2-cm gGISTs, with the AUC of the training, validation, and testing cohort as 0.866, 0.812, and 0.766, respectively. Conclusions: Instead of CT- and EUS-based morphological high-risk features, the CT radiomics model could potentially be applied for preoperative risk stratification of 1–2-cm gGISTs. Key Points: • The presence of EUS- and CT-based morphological high-risk factors, including calcification, necrosis, intratumoral heterogeneity, irregular border, or surface ulceration, did not correlate with the pathological malignant potential of 1–2-cm gGISTs. • The CT radiomics model could potentially be applied for preoperative risk stratification of 1–2-cm gGISTs. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09387994
Volume :
33
Issue :
4
Database :
Academic Search Index
Journal :
European Radiology
Publication Type :
Academic Journal
Accession number :
162470407
Full Text :
https://doi.org/10.1007/s00330-022-09228-x