The Relationship Between CT Signs of Computed Tomography and Risk Classification of Gastric Stromal Tumors

Objective: The study aims to explore the role of computed tomography (CT) in clinical diagnosis, thus having a preliminary understanding of the relationship between CT signs and the risk of gastric stromal tumors (GSTs). Methods: In this study, 213 patients with GST with complete preoperative CT and postoperative pathological results in Yancheng No. 1 People's Hospital from January 2016 to August 2019 are selected as research objects. The patient's basic information is collected. CT machine (Toshiba 320 row CT and Siemens dualsource CT (Somatom Definition Flash)) is used to examine all patients. The obtained image data are evaluated. Patients are divided into low-risk group, medium risk group and high-risk group according to the risk classification standard of GST. The data collected are analyzed statistically. Results: After risk classification of all patients, 87 patients in low-risk group, 74 in medium-risk group and 52 in high-risk group are found. After further analysis of the risk classification, it is found that there is no significant difference in GST risk classification between the tumor sites (P > 0.05). In the GST risk classification, the smaller the tumor, the more the low-risk group, the larger the tumor, the more the high-risk group, the difference is statistically significant (P < 0.05). In the observation of the relationship between tumor growth pattern and risk classification, it is found that the number of intraluminal growth is the most, while mixed growth is the least (P < 0.05). Further analysis of tumor density, solid part enhancement, distant metastasis and risk grade show that there are significant differences (P < 0.05). Conclusion: As an auxiliary diagnostic method in clinic, CT signs can be used to analyze the relationship with risk grade from tumor location, tumor size, tumor growth mode, tumor density, solid part enhancement degree and tumor distant metastasis, so as to have a more accurate understanding of patients' situation, and provide experimental basis for the later application of CT signs in tumor and auxiliary diagnosis.