Correlation of ultrasonic characteristics, clinicopathological features, and biological risk classification in gastric gastrointestinal stromal tumors and construction of a preoperative prediction model: a feasibility study

Read full text
Authors: Yuan Li, Likun Cui, Bo Tan, Jing Lin, Man Lu, Chun Liu
Cited by: 0

Abstract

Background: Gastrointestinal stromal tumors (GISTs) can undergo malignant transformation, and thus, the risk grading assessment of postoperative patients is highly critical. This study sought to investigate the correlation between ultrasonic characteristics, clinicopathological features, and biological risk grading in patients with gastric GISTs and to determine whether the preoperative prediction of biological risk grading is feasible. Methods: The ultrasonic characteristics and clinicopathological data of gastric filling in 92 patients with GISTs confirmed by surgical pathology were retrospectively analyzed, the influencing factors of the biological risk classification of GISTs were assessed through univariate and multivariate analyses, and a prediction model was constructed. The receiver operating characteristic curve was plotted to analyze the predictive value of the logistic regression model. Results: Univariate analysis revealed that melena was significantly more common in the high-risk group (P

Fields of Study & Subjects

Gastrointestinal Tumor Research and Treatment Gastric Cancer Management and Outcomes Gastrointestinal Bleeding Diagnosis and Treatment

Publication details

Journal / source
Quantitative Imaging in Medicine and Surgery
Volume
16
Issue
2
Pages
133–133
Publication date
28 January 2026
Language
EN