Differential diagnosis between parotid pleomorphic adenoma and basal cell adenoma based on CT-enhanced histogram
1Department of Radiology, Xi'an Central Hospital Affiliated to Xi'an Jiaotong University, Xi'an 710003, Shaanxi, China.
Aim:
To explore the application value of differentiating pleomorphic adenoma (PA) of parotid gland from basal cell adenoma (BCA) based on computed tomography (CT)-enhanced histogram parameters.
Materials And Methods:
This retrospective study included 55 patients with PA and 35 patients with BCA confirmed by surgery and pathology. All patients underwent noncontrast CT and dual phase CT-enhanced scan. FireVoxel software was used to delineate the tumour parenchyma and perform histogram analysis, obtaining nine histogram parameters: mean, variance, skewness, kurtosis, and the 1st, 10th, 50th, 90th, and 99th percentiles. To compare the differences of histogram parameters between PA and BCA groups in parotid gland, and draw receiver operating characteristic (ROC) curve to analyse the diagnostic efficiency of histogram parameters in differentiating PA from BCA.
Results:
The 1st percentile of noncontrast, mean of arterial phase, variance of arterial phase, 10th, 50th, 90th and 99th percentile of arterial phase and mean of venous phase were significantly higher in the BCA group compared with the PA group (P<0.05). ROC curve analysis showed that arterial phase histogram parameters exhibited better diagnostic efficiency in distinguishing PA from BCA when compared with noncontrast, arterial phase and venous phase. Among them, the 90th percentile of arterial phase has the best differential diagnosis efficiency. When the cutoff value is 132.00 × 10-6 mm2/s, the area under the curve is 0.876, the sensitivity and specificity of distinguishing PA from BCA are 90.50% and 84.00%, respectively.
Conclusion:
CT-enhanced histogram analysis demonstrates diagnostic value in differentiating PA from BCA and may contribute to optimised clinical decision-making.
