深度学习技术在胃肠道间质瘤诊断中的应用  

Application of deep learning technology in the diagnosis of gastrointestinal stromal tumors

作　　者：陈婷婷 杨帆[1] 李泽阳 徐士雪 杨飞[1] 刘香[1] CHEN Tingting;YANG Fan;LI Zeyang;XU Shixue;YANG Fei;LIU Xiang(Department of Gastroenterology,Shengjing Hospital of China Medical University,Shenyang 110004,China;Department of General Surgery,Shengjing Hospital of China Medical University,Shenyang 110004,China)

机构地区：[1]中国医科大学附属盛京医院消化内科,沈阳110004 [2]中国医科大学附属盛京医院普通外科,沈阳110004

出　　处：《中国医科大学学报》2024年第2期178-181,共4页Journal of China Medical University

基　　金：国家自然科学基金(82100700)。

摘　　要：胃肠道间质瘤是常见的胃肠道上皮下肿瘤,具有一定的恶性潜能。早期诊断及恶性潜能的预测对于胃肠道间质瘤治疗方案的制定及预后十分重要。深度学习技术已在消化道疾病诊断领域取得重大进展,可有效辅助诊断胃肠道间质瘤,并在术前预测其恶性潜能。深度学习技术在胃肠道间质瘤诊断中的应用包括CT、常规内镜和超声内镜3个方面。本文就深度学习技术在胃肠道间质瘤诊断及恶性潜能预测中的应用进行综述。Gastrointestinal stromal tumor(GIST),with a certain malignant potential,are currently the most common subepithelial tumors of the gastrointestinal tract.Early diagnosis and prediction of malignant potential are very important for the formulation of a treatment plan and determining the prognosis of GIST.Deep learning technology has made significant progress in the diagnosis of digestive tract diseases,and it can also effectively assist physicians in diagnosing GIST and predicting their malignant potential,preoperatively.The application of deep learning technology in the diagnosis of GIST includes CT,gastrointestinal endoscopy and endoscopic ultrasound.This paper aims to review the application of deep learning technology in the diagnosis and prediction of malignant potential of GIST.

关 键 词：深度学习技术 胃肠道间质瘤 诊断 

分 类 号：R735.2[医药卫生—肿瘤]