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• W2977776601 abstract "Background and Aims Endoscopic resection is becoming an option in the management of gastric GI stromal tumors (GISTs). Although no consensus has been reached, patients with high malignancy potential GISTs are generally considered to be surgical candidates. However, no systematic preoperative evaluation strategy has yet been developed. The current study was performed to develop a preoperative multivariate model to predict the malignant potential of gastric GISTs. Methods This study consisted of 2 stages. First, a multivariate prediction model for gastric GISTs smaller than 5 cm was developed using a multivariate logistic regression analysis in a retrospective cohort. Next, the prediction model was validated further in a validation cohort of gastric GISTs. Results In the developing stage, 275 patients were included. The multivariate analysis demonstrated that independent risk factors for high malignancy potential gastric GISTs smaller than 5 cm were tumor size ≥2 cm (according to cutoff value), an irregular tumor shape, and mucosal ulceration (P  Conclusions The independent risk factors for high malignancy potential gastric GISTs smaller than 5 cm were tumor size larger than 2 cm, an irregular tumor shape, and mucosal ulceration. These factors could be used to predict malignancy potential of gastric GISTs in a simple combination." @default.
• W2977776601 created "2019-10-10" @default.
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• W2977776601 date "2020-04-01" @default.
• W2977776601 modified "2023-09-24" @default.
• W2977776601 title "A multivariate prediction model for high malignancy potential gastric GI stromal tumors before endoscopic resection" @default.
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• W2977776601 doi "https://doi.org/10.1016/j.gie.2019.09.032" @default.
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