Objective To explore the value of a prediction model based on CT imaging characteristics in differential diagnosis of primary small intestinal lymphoma and stromal tumor.Methods Fifty cases of small intestinal lymphoma and 50 cases of stromal tumor confirmed by pathology were collected respectively,and the clinical data and CT imaging characteristics of the two groups were compared.The independent influencing factors with differential signifi-cance for the two groups were screened by binary Logistic regression analysis,and a differential diagnosis prediction mod-el was constructed,and the working characteristics(ROC)curve of the subjects was drawn to evaluate the differential di-agnosis value of the prediction model.Results The difference between the two groups was statistically significant(P＜0.05),including the value of net enhanced CT in arterial phase,swollen lymph nodes around the lesion,vascular floating sign and pathological blood vessels,which were all independent influencing factors with differential significance(P＜0.05).Based on these four CT imaging features,a differential diagnosis prediction model was constructed,and the ROC curve showed that its AUC was 0.971(95％CI:0.941-1.000).Conclusion The prediction model based on CT imaging features has high application value in the differential diagnosis of small intestinal lymphoma and stromal tumor.
关键词
原发性小肠淋巴瘤/胃肠道间质瘤/鉴别诊断/预测模型
Key words
Primary small intestinal lymphoma/Gastrointestinal stromal tumor/Differential diagnosis/Pre-diction model
维普
万方数据