Title of article :
Current and Potential Applications of Artificial Intelligence in Gastrointestinal Stromal Tumor Imaging
Author/Authors :
Yang, Cai-Wei Department of Radiology - West China Hospital - Sichuan University - Chengdu - Sichuan Province, China , Liu, Xi-Jiao Department of Radiology - West China Hospital - Sichuan University - Chengdu - Sichuan Province, China , Liu, Si-Yun Healthcare (China) - Beijing, China , Wan, Shang Department of Radiology - West China Hospital - Sichuan University - Chengdu - Sichuan Province, China , Ye, Zheng Department of Radiology - West China Hospital - Sichuan University - Chengdu - Sichuan Province, China , Song, Bin Department of Radiology - West China Hospital - Sichuan University - Chengdu - Sichuan Province, China
Pages :
7
From page :
1
To page :
7
Abstract :
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.
Keywords :
Tumor , GIST , CT
Journal title :
Contrast Media and Molecular Imaging
Serial Year :
2020
Full Text URL :
Record number :
2618850
Link To Document :
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