A combined radiomic model distinguishing GISTs from leiomyomas and schwannomas in the stomach based on endoscopic ultrasonography images.

Xian-Da ZhangLing ZhangTing-Ting GongZhuo-Ran WangKang-Li GuoJun LiYuan ChenJian-Tao ZhangBen-Gong YeJin DingJian-Wei ZhuFeng LiuDuan-Min HuJianGang ChenChun-Hua Zhou Duo-Wu Zou

Published in: Journal of applied clinical medical physics (2023)

We developed and validated a combined radiomic model to distinguish gastric GISTs from leiomyomas and schwannomas. The combined radiomic model showed better diagnostic performance than the conventional radiomic model and could assist EUS experts in non-invasively diagnosing gastric SELs, particularly gastric SELs <20 mm.

Keyphrases

magnetic resonance imaging
deep learning
convolutional neural network
optical coherence tomography
fine needle aspiration