Current and Potential Applications of Artificial Intelligence in Gastrointestinal Stromal Tumor Imaging

被引:4
作者
Yang, Cai-Wei [1 ]
Liu, Xi-Jiao [1 ]
Liu, Si-Yun [2 ]
Wan, Shang [1 ]
Ye, Zheng [1 ]
Song, Bin [1 ]
机构
[1] Sichuan Univ, West China Hosp, Dept Radiol, Chengdu 610041, Sichuan, Peoples R China
[2] GE Healthcare China, Beijing 100176, Peoples R China
基金
中国国家自然科学基金;
关键词
CT TEXTURE ANALYSIS; CANCER HETEROGENEITY; RISK; FEATURES; BIOMARKER; ADENOCARCINOMA; EXPRESSIONS; PROGNOSIS; SURVIVAL; IMAGES;
D O I
10.1155/2020/6058159
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
The most common mesenchymal tumors are gastrointestinal stromal tumors (GISTs), which have malignant potential and can occur anywhere along the gastrointestinal system. Imaging methods are important and indispensable of GISTs in diagnosis, risk staging, therapy, and follow-up. The recommended imaging method for staging and follow-up is computed tomography (CT) according to current guidelines. Artificial intelligence (AI) applies and elaborates theses, procedures, modes, and utilization systems for simulating, enlarging, and stretching the intellectual capacity of humans. Recently, researchers have done a few studies to explore AI applications in GIST imaging. This article reviews the present AI studies in GISTs imaging, including preoperative diagnosis, risk stratification and prediction of prognosis, gene mutation, and targeted therapy response.
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页数:8
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