Abstract
Recently, diffusion-weighted imaging (DWI) is an essential magnetic resonance imaging
(MRI) protocol for head and neck imaging in clinical practice as it plays an important
role in lesion detection, tumor extension evaluation, differential diagnosis, therapeutic
effect prediction, therapy evaluation, and recurrence diagnosis. Especially in the
parotid gland, several studies have already attempted to achieve accurate differentiation
between benign and malignant tumors using DWI. A conventional single-shot echo-planar-based
DWI is widely used for head and neck imaging, whereas advanced DWI sequences, such
as intravoxel incoherent motion, diffusion kurtosis imaging, periodically rotated
overlapping parallel lines with enhanced reconstruction, and readout-segmented echo-planar
imaging (readout segmentation of long variable echo-trains), have been used to characterize
parotid tumors. The mean apparent diffusion coefficient values are easily measured
and useful for assessing cellularity and histological characteristics, whereas advanced
image analyses, such as histogram analysis, texture analysis, and machine and deep
learning, have been rapidly developed. Furthermore, a combination of DWI and other
MRI protocols has reportedly improved the diagnostic accuracy of parotid tumors. This
review article summarizes the current state of DWI in differentiating parotid tumors.
Keywords
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Article info
Publication history
Published online: July 22, 2022
Accepted:
July 8,
2022
Received:
May 13,
2022
Identification
Copyright
© 2022 Japanese Society of Otorhinolaryngology-Head and Neck Surgery, Inc. Published by Elsevier B.V. All rights reserved.
