Objective To explore the clinical application value of contrast-enhanced ultrasound(CEUS)quantitative parameters in predicting the pathological grading of pancreatic neuroendocrine tumors(pNETs).Methods A total of 54 patients with pNETs confirmed by surgical pathology admitted to our hospital were selected and divided into G1/G2 group(40 cases)and G3 group(14 cases)according to the WHO 2019 pathological grading criteria.Both groups underwent preoperative ultrasound and CEUS examination.The conventional ultrasound imaging features(tumor maximum diameter,tructure,location,echo,edge and presence or absence of main pancreatic duct dilation,internal blood flow),CEUS imaging features(pancreatic lesion enhancement pattern,arterial phase enhancement degree,presence or absence of non-enhanced necrotic area),and CEUS quantitative parameters[relative peak intensity(rPI),relative mean transit time(rmTT),relative rise time(rRT),relative time to peak(rTTP),relative area under the curve(rAUC)]were compared between the two groups.Receiver operating characteristic(ROC)curve was drawn to analyze the diagnostic efficacy of CEUS quantitative parameters in predicting the pathological grading of pNETs using.Results There were no statistically significant differences in conventional ultrasound and CEUS imaging features between the two groups.The rPI,rmTT,rAUC in G1/G2 group were higher than those in G3 group,the differences were statistically significant(all P<0.05).ROC curve analysis showed that the area under the curve of rPI,TT and rAUC for predicting the pathological grading of pNETs were 0.799,0.687,and 0.932,respectively.The area under the curve of combined application was 0.980.Conclusion CEUS quantitative analysis can accurately predict the pathological grading of pNETs,and the combined application of rPI,rmTT,rAUC have good clinical value in predicting the pathological grading of pNETs.
NETL
NSTL
万方数据
