The Value Of Conventional MRI Signs Combined With Texture Features In The Differential Diagnosis Between Sinonasal Inverted Papilloma And Its Malignant Transformation

Objective:To analyze the value of conventional MRI signs combined with texture features in the differential diagnosis between sinonasal inverted papilloma and its malignant transformation.Methods:Forty-one patients with SNIP and 15 patients with SNIP malignant transformation confirmed by operation and pathology in our hospital from October 2016 to June 2021 were selected.By evaluating the clinical data,MRI signs and extracting texture feature parameters from MRI images by Ma Zda software of lesions in both groups,the differences between the SNIP group and the SNIP malignant transformation group were compared,and the statistically significant indexes were analyzed by binary logistic regression analysis,the prediction models of MRI signs,texture features and MRI signs combined with texture features were established,and finally,the ROC curve was used to evaluate each model.Results:In the group comparison of clinical data between the SNIP group and the malignant transformation group,there was no statistical difference in gender and age(P>0.05).In the group comparison of MRI signs between the SNIP group and the malignant transformation group,loss of convoluted cerebriform pattern,necrosis,orbit involvement and craniocerebral invasion were statistically significant(P<0.05),and when binary logistic regression analysis was performed,craniocerebral invasion was not statistically different(P > 0.05),and loss of convoluted cerebriform pattern,necrosis,orbit involvement were the independent risk factors for SNIP malignant transformation(P<0.05).In the comparison of texture features between the SNIP group and the malignant transformation group,S(1,0,0)Sum Entrp,S(0,1,0)Contrast,S(0,1,0)Dif Varnc,S(0,2,0)Contrast and S(0,2,0)Dif Varnc were statistically significant(P<0.05),a texture feature was screened out by binary Logistic regression,analysis S(0,2,0)Contrast was an independent risk factor for SNIP malignant transformation(P < 0.05).Finally,the prediction models were established,the AUC values of the MRI sign prediction model,texture feature prediction model and joint prediction model were 0.865,0.793,0.924,respectively.the sensitivity,specificity and accuracy of the joint prediction model were higher than the former two(sensitivity:86.7%;specificity:97.6%;accuracy:96.4%).Conclusion:Conventional MRI signs and texture analysis can provide an objective basis for the identification of SNIP and SNIP malignant transformation,in addition,the diagnostic efficacy of the model established by MRI signs combined with texture features is significantly better than that of the single model,which provides more information for clinical planning of surgery and evaluation of prognosis.