ArticleQuantitative imaging in medicine and surgery2026
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.
Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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<0.05). Tumor size, morphology, echogenicity, calcification, and cystic changes also differed significantly between the risk groups (P<0.05), while location, growth pattern, blood flow grade, and ulceration did not (P>0.05). Multivariate analysis indicated that the independent risk predictors were tumor size [odds ratio (OR) =0.028; P=0.002] and echogenicity (OR =0.092; P=0.011). The derived logistic model (area under the curve =0.934; 95% confidence interval: 0.887-0.981) showed high sensitivity (76.4%) and specificity (97.3%). In terms of pathological findings, the Ki-67 index and mitotic count correlated strongly with risk level (P<0.05) and may serve as key prognostic markers. Conclusions: Ultrasound-based tumor size and echogenicity are robust preoperative indicators for gastric GIST risk classification. The proposed model demonstrated excellent predictive performance and may be a practical tool for clinical assessment.
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