Objective To analyze the prediction model for liver metastasis of pancreatic ductal adenocarcinoma based on enhanced CT examination.Methods Seventy patients with pancreatic ductal adenocarcinoma treated in Xuyi County People's Hospital of Jiangsu Province from January 2019 to June 2023 were selected Nanjing from January 2019 to June 2023 were selected.After admission,enhanced CT scans were performed,and the patients were divided into liver metastasis group and non-metastasis group according to pathological examination.The maximum diameter of the tumor in the two groups was measured,and the CT values in the arterial,venous,and delayed phases were compared between the two groups.We simultaneously obtained two sets of CT scan features and compared the differences in CT scan parameters between the two sets.Results There was no significant difference(P＞0.05)in the maximum diameter of tumors and CT values of arterial,venous,and delayed phases between the two groups of patients.However,in the liver metastasis group,the maximum angle between tumor and arterial(T/A),the maximum angle between tumor and venous(T/V),and the angle between tumor and superior mesenteric vein were lower than those in the non-metastasis group.The minimum distance between tumor and arterial(TA)and the minimum distance between tumor and venous vessels(TV)were shorter than those of the non-metastasis group(P＜0.05).The blurring rate of peritumoral fat space and lymph node enlargement rate in the liver metastasis group were higher than those in the non-metastasis group(P＜0.05),and the levels of CEA,CA125,and CA199 in the liver metastasis group were higher than those in the non metastasis group(P＜0.05).After constructing the prediction model,the ROC curve was plotted,and the fuzzy peritumoral fat gap,TV distance,and CA125 had certain value in predicting liver metastasis in patients.Among them,the combined indicators had more predictive value(P＜0.05).Conclusion Constructing a prediction model for liver metastasis of pancreatic ductal adenocarcinoma based on enhanced CT examination can effectively predict liver metastasis and is worthy of clinical application.
万方数据
维普
