To explore the value of radiomics characteristic histogram parameters based on CT enhancement in distinguishing parotid pleomorphic adenoma(PA)from adenolymphoma(AL).

A total of 23 patients with AL and 21 patients with PA confirmed by pathology were collected.The tumor radiomics histogram parameters in CT enhanced venous phase images were extracted and analyzed by MaZda software, including mean, variance, skewness, kurtosis and the 1st, 10th, 50th, 90th and 99th percentile.Receiver operator characteristic curve(ROC)was used to analyze the statistically significant parameters between groups and evaluate the diagnostic efficiency.Multivariate logistic regression analysis was used to model the statistically significant parameters between groups, and ROC curve was used to evaluate the model efficiency.

There were statistically significant differences in five histogram parameters(mean and variance, 50th, 90th and 99th percentile)between the two groups(all P<0.05).The 99th percentile had the highest differential diagnostic efficacy in the two groups, the area under curve(AUC)was 0.85, and the corresponding specificity and sensitivity were 80%.The AUC, specificity and sensitivity of the multi parameter logistic regression diagnostic model established by using the five histogram parameters were 0.945, 92.7% and 86.3% respectively.

CT enhanced radiomics feature histogram parameters can effectively distinguish PA from AL.