Open Access
CC BY-NC-ND 4.0 · Indian J Radiol Imaging 2019; 29(04): 356-363
DOI: 10.4103/ijri.IJRI_326_19
Neuroimaging

Evaluation of cerebral microstructural changes in adult patients with obstructive sleep apnea by MR diffusion kurtosis imaging using a whole-brain atlas

Sameer Vyas
Departments of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India
,
Paramjeet Singh
Departments of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India
,
Niranjan Khandelwal
Departments of Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India
,
Varan Govind
Department of Radiology, University of Miami, Miami, Florida, USA
,
Ashutosh Aggarwal
Departments of Pulmonary Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, India
,
Mohanty Manju Nath
Departments of Neurosurgery, Postgraduate Institute of Medical Education and Research, Chandigarh, India
› Author Affiliations

Financial support and sponsorship Nil.
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Abstract

Purpose: The association between obstructive sleep apnea (OSA) and cognitive impairment is well-recognized, but little is known about neural derangements that underlie this phenomenon. The purpose of this study was to evaluate the utility of diffusion kurtosis imaging (DKI) using a whole-brain atlas to comprehensively assess microstructural tissue changes in the brain of patients with OSA. Methods: This prospective study was conducted in 20 patients with moderate-to-severe OSA and 20 age- and gender-matched controls. MRI data acquisition was performed with 3 Tesla and data was analyzed using a whole-brain atlas. DKI data were processed and transformed into a brain template space to obtain various kurtosis parameters including axial kurtosis (AK), radial kurtosis (RK), mean kurtosis (MK), and kurtosis fractional anisotropy (KFA) using a 189-region brain atlas in the same template space. These kurtosis measurements were further analyzed using a student t-test in order to determine kurtosis measurements that present significant differences between the OSA patient set and the control set. Results: Significant differences (P < 0.05) were found in AK (54 regions), RK (10 regions), MK (6 regions) and KFA (41 regions) values in patients with OSA as compared to controls. DKI indices, using an atlas-based whole-brain analysis approach used in our study, showed widespread involvement of the anatomical regions in patients with OSA. Conclusion: The kurtosis parameters are more sensitive in demonstrating abnormalities in brain tissue structural organization at the microstructural level before any detectable changes appear in conventional MRI or other imaging modalities.



Publication History

Received: 07 August 2019

Accepted: 23 October 2019

Article published online:
21 July 2021

© 2019. Indian Radiological Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

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