Distinguishing Benign from Malignant Parotid Gland Tumours: Low-dose Multi-phasic CT Protocol with 5-minute Delay

Overview

Journal Eur Radiol

Specialty Radiology

Date 2011 May 7

PMID 21547526

Citations 15

Authors

G Q Jin

D K Su

D Xie

W Zhao

L D Liu

X N Zhu

Affiliations

Soon will be listed here.

Abstract

Objectives: To explore the percentage enhancement wash-out ratio (PEW) and relative PEW (RPEW) of low-dose multi-phasic computed tomography (CT) in distinguishing benign from malignant parotid gland tumours.

Methods: This study was approved by the ethics committee, and informed patient consent was obtained. 51 patients with parotid tumours proven by histopathology received CT, including 18 with pleomorphic adenomas, 14 with Warthin's tumours and 19 with malignant tumours. Size and attenuation of parotid tumours were measured. Compared with 5-min attenuation, the 30-s and 90-s PEW (PEW(30,) PEW(90)) and RPEW (RPEW(30), RPEW(90)) were calculated.

Results: There was a significant difference in PEW(30), RPEW(30), PEW(90) and RPEW(90) in the parotid neoplasms groups (P < 0.01), and statistical significance existed simultaneously in pleomorphic adenomas vs malignant tumours and Warthin's tumours vs malignant tumours according to SNK-q test. The optimal diagnosis results of malignancy with 100% specificity (32/32) was obtained by using a combination of the following criteria: -70% > PEW(30) < 36%, -30% > PEW(30) < 19%, PEW(90) > 12%, and the sensitivity (74%) for diagnosis of malignancy was yield.

Conclusions: Wash-out ratio may assist in differentiating the benign from malignant parotid gland tumours. Combining the percentage of enhanced wash-out ratios of CT protocols can yield diagnostic results for malignancy.

Citing Articles

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Comparison of Different Machine Models Based on Multi-Phase Computed Tomography Radiomic Analysis to Differentiate Parotid Basal Cell Adenoma From Pleomorphic Adenoma.

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A Preliminary Study of CT Texture Analysis for Characterizing Epithelial Tumors of the Parotid Gland.

Zhang D, Li X, Lv L, Yu J, Yang C, Xiong H Cancer Manag Res. 2020; 12:2665-2674.

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