Relationship between multi-slice computed tomography features and pathological risk stratification assessment in gastric gastrointestinal stromal tumors  

作　　者：Tian-Tian Wang Wei-Wei Liu Xian-Hai Liu Rong-Ji Gao Chun-Yu Zhu Qing Wang Lu-Ping Zhao Xiao-Ming Fan Juan Li 

机构地区：[1]Department of Medical Imaging,The Second Affiliated Hospital of Shandong First Medical University,Taian 271000,Shandong Province,China [2]Department of Rheumatology,The Second Affiliated Hospital of Shandong First Medical University,Taian 271000,Shandong Province,China [3]Department of Network Information Center,The Second Affiliated Hospital of Shandong First Medical University,Taian 271000,Shandong Province,China [4]Department of Ultrasound,The Second Affiliated Hospital of Shandong First Medical University,Taian 271000,Shandong Province,China [5]Department of Medical Imaging,The Affiliated Hospital of Ji’ning Medical University,Jining 272000,Shandong Province,China

出　　处：《World Journal of Gastrointestinal Oncology》2023年第6期1073-1085,共13页世界胃肠肿瘤学杂志（英文版）（电子版）

基　　金：Supported by the Roentgen Imaging Research Project of Beijing Kangmeng Charitable Foundation,No.SD-202008-017.

摘　　要：BACKGROUND Computed tomography(CT)imaging features are associated with risk stratification of gastric gastrointestinal stromal tumors(GISTs).AIM To determine the multi-slice CT imaging features for predicting risk stratification in patients with primary gastric GISTs.METHODS The clinicopathological and CT imaging data for 147 patients with histologically confirmed primary gastric GISTs were retrospectively analyzed.All patients had received dynamic contrast-enhanced CT(CECT)followed by surgical resection.According to the modified National Institutes of Health criteria,147 lesions were classified into the low malignant potential group(very low and low risk;101 lesions)and high malignant potential group(medium and high-risk;46 lesions).The association between malignant potential and CT characteristic features(including tumor location,size,growth pattern,contour,ulceration,cystic degeneration or necrosis,calcification within the tumor,lymphadenopathy,enhancement patterns,unenhanced CT and CECT attenuation value,and enhancement degree)was analyzed using univariate analysis.Multivariate logistic regression analysis was performed to identify significant predictors of high malignant potential.The receiver operating curve(ROC)was used to evaluate the predictive value of tumor size and the multinomial logistic regression model for risk classification.RESULTS There were 46 patients with high malignant potential and 101 with low-malignant potential gastric GISTs.Univariate analysis showed no significant differences in age,gender,tumor location,calcification,unenhanced CT and CECT attenuation values,and enhancement degree between the two groups(P>0.05).However,a significant difference was observed in tumor size(3.14±0.94 vs 6.63±3.26 cm,P<0.001)between the low-grade and high-grade groups.The univariate analysis further revealed that CT imaging features,including tumor contours,lesion growth patterns,ulceration,cystic degeneration or necrosis,lymphadenopathy,and contrast enhancement patterns,were associated with risk strati

关 键 词：Computed tomography Gastrointestinal stromal tumor Risk stratification Stomach 

分 类 号：R735.2[医药卫生—肿瘤]