Backgroud
gastric mesenchymal tumors, tumor, neoplasms, hemorrhage, GISTs, necrosis, [Machine learning
TUMOR, ULCERATION, GASTROINTESTINAL STROMAL TUMORS, NEOPLASMS, DISEASE, HEMORRHAGE, GIST, NECROSIS, ONCOLOGY, METASTASES
Gastrointestinal stromal tumors (GISTs) are neoplasms that arise from Cajal cells of the gastrointestinal tract mesenchyme [The National Institutes of Health (NIH) classification system has been proposed to stratify the risk of GISTs. Currently, the modified NIH risk stratification criteria and the latest Chinese consensus guidelines (2017 Edition) of the Chinese Society of Clinical Oncology (CSCO) Expert Committee on GIST divide GISTs into very low, low, intermediate, and high risk groups according to tumor size, location, mitotic index, and whether the tumor ruptures [Contrast-enhanced CT (CE-CT) scan can clearly show not only the anatomical structure of gastric mesenchymal tumors, but also the internal and peripheral information of the lesion, including tumor density, necrosis, ulceration, hemorrhage, blood vessels, as well as invasion of surrounding tissues, lymph node metastases, and distant metastases [Plenty of studies predicting the risk stratification of GISTs based on CT imaging have been reported [Machine learning (ML) algorithm provides the possibility of mining valuable data that have significant and intricate connections among enormous data items. ML algorithms have been applied to disease identification, differential diagnosis and prognosis analysis with outstanding performance and promising prospect [