Objective To investigate the differential diagnostic value of MSCT quantitative characteristics in the differ-ential diagnosis of pancreatic solid pseudopapillary neoplasm(pSPN)and hypovascular pancreatic neuroendocrineneoplasm(hypo-pNEN).Methods The clinical information,pathological results and imaging data of 96 patients with pSPN and 52 hypo-pNEN patients confirmed by surgical pathology from January 2017 to October 2022 in the First Affiliated Hospital of Zhengzhou University were retrospectively analyzed,and the qualitative parameters(sex,location,morphology,etc.)of the two groups were compared by chi-square test,and the quantitative parameters(age,length diameter,arterial ratio,etc.)of the two groups were compared by two independent sample t-tests.The binary logistic regression model was used to screen out the independent predictors of pSPN and hypo-pNEN,and the MSCT feature was analyzed by using the receiver operating characteristic curve(ROC)to identify the diagnostic performance of pSPN and hypo-pNEN.Results Compared with hy-po-pNEN patients,pSPN patients were mostly female(80.2％vs 59.6％),younger[(27.7±12.7)years old vs.(43.8± 13.9)years old],short incidence time[(80.1±183.4)days vs.(407.6±869.7)days],no clinical symptoms(55.2％vs.9.6％),and tumors were more circular or oval(84.4％vs.61.5％),clear boundaries(83.3％vs.63.5％),more with calcification,more with floating cloud sign,density inhomogeneous,more without transfer or invasion(51.0％vs.13.5％,54.2％vs.17.3％,80.2％vs.44.2％,94.8％vs.78.8％),tumor length diameter was larger[(6.8±3.5)cm vs.(4.9 ±2.9)cm],arterial ratio,venous ratio,arterial enhancement rate and venous enhancement rate were larger[(50.6± 15.3)％vs.(65.2±21.6)％,(68.3±24.7)％vs.(81.9±39.2)％,(66.4±51.4)％vs.(83.2±38.2)％,(69.4 ±37.9)％vs.(84.7±45.8)％],all of which were statistically significant(all P＜0.05).The results of binary Logistic regression model analysis showed that the independent predictors for the diagnosis of pSPN and hypo-pNEN included arterial enhancement rate,venous ratio,floating cloud sign,calcification.When the ROC curve was analyzed by combining arterial enhancement rate,venous ratio,floating cloud sign,calcification and other indicators,the area under the curve of the ROC chart was 0.872,and the diagnostic sensitivity and specificity were 100.0％and 80.8％,respectively.The ROC analysis re-sults of each independent predictor and the combined diagnostic model showed that the area under the curve of the arterial strengthening rate,venous ratio,floating cloud sign,calcification and combined diagnostic model were 0.633,0.623,0.684,0.688,0.872,respectively,and the diagnostic efficacy of the combined diagnostic model was higher(P＜0.001).Con-clusion MSCT features such as arterial enhancement rate,venous ratio,floating cloud sign,and calcification can be used to distinguish pSPN and hypo-pNEN.
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