Characteristic Analysis of the Time-density Curve of Volume Shuttle CT Perfusion of Benign Parotid Tumors

Objective: We intend to explore the value of volume shuttle CT perfusion time-density curve characteristics combined with morphological parameters when applied in the differentiation diagnosis of parotid benign tumors. Methods: We performed volume shuttle CT perfusion imaging on 100 collected patients with parotid tumor before operation and got confirmed by the pathology after operation. The image data acquired was sent to the workstation and PACS system. We observed and analyzed the morphological parameters (location, size, density, boundary, neck lymph node, heightened amplitude of enhanced scan) and types of time-density curve, then adopted χ² test to deal with enumeration data comparison. The enumeration data matched with normal distribution was dealt with two independent samples t test, the rest data was dealt with rank sum test, test level α=0.05. Results: There was no statistical difference in the morphological parameters of benign parotid tumors (pleomorphic adenoma, adenolymphoma, basal cell adenoma; and myoepithelioma), but we found statistical difference in time-density curves. Conclusion: CT perfusion time-density curve characteristics combined with morphological parameters are of great value in the differentiation diagnosis of parotid benign tumors, and have important guiding significance for the selection of surgical procedures.