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Characterization of Parotid Tumors With Dynamic Susceptibility Contrast Perfusion-Weighted Magnetic Resonance Imaging and Diffusion-Weighted Mr Imaging.

JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY(2017)

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Abstract
Purpose: To characterize parotid tumorswith dynamic susceptibility contrast perfusion-weighted magnetic resonance (MR) imaging and diffusionweighted MR imaging. Material and Methods: Prospective study was conducted upon 48 consecutive patients (27 men, 21 women; aged 15-75 years; mean, 45 years) with parotid tumors that underwent dynamic susceptibility contrast perfusion-weighted MR imaging was performed after bolus injection of gadopentate dimeglumine and diffusion-weighted MR imaging. The dynamic susceptibility contrast percentage (DSC%) and apparent diffusion coefficient (ADC) values of parotid tumors were calculated and correlated with histopathological findings. Results: The DSC% of malignant parotid tumors (33.53% +/- 3.99%) was significantly different (P = 0.001) from that of benign parotid tumors (22.29% +/- 4.13%). The threshold values of DSC% and ADC used in differentiating malignant from benign parotid tumors were 26.5% and 1.07 x 10(-3) mm(2)/s, respectively, with area under the curve (AUC) of 0.96 and 0.81, respectively. The DSC% of malignant parotid tumors was significantly different from that ofWarthin tumors (P = 0.001). The cutoff DSC% used to differentiate malignancy from Warthin tumors was 26.9% with an AUC of 0.99. There was a significant difference in DSC% and ADC values between pleomorphic adenomas and Warthin tumors (P = 0.001). The threshold values of DSC% and ADC used in differentiating pleomorphic adenomas from Warthin tumors was 22.5% and 0.99 x 10(-3) mm(2)/s, respectively, with AUC of 0.88 and 0.98, respectively. Conclusions: Dynamic susceptibility contrast-enhanced perfusion-weighted MRimaging and diffusion-weighted MRimaging are noninvasive promising methods that are used for differentiation of malignant from benign parotid tumors and for characterization of some benign parotid tumors.
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Key words
diffusion,perfusion,MR imaging,parotid,tumor
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