Dynamic Sleep MRI in Obstructive Sleep Apnea: a Systematic Review and Meta-analysis

Overview

Journal Eur Arch Otorhinolaryngol

Specialty Otorhinolaryngology

Date 2021 Jul 9

PMID 34241671

Citations 7

Authors

Keith Volner

Silas Chao

Macario Camacho

Affiliations

Soon will be listed here.

Abstract

Purpose: The objective of this study is to systematically review the international literature for dynamic sleep magnetic resonance imaging (MRI) as a diagnostic tool in obstructive sleep apnea (OSA), to perform meta-analysis on the quantitative data from the review, and to discuss its implications in future research and potential clinical applications.

Study Design: A comprehensive review of the literature was performed, followed by a detailed analysis of the relevant data that has been published on the topic.

Methods: Clinical key, Uptodate, Ovid, Ebscohost, Pubmed/MEDLINE, Scopus, Dynamed, Web of Science and The Cochrane Library were systematically searched. Once the search was completed, dynamic sleep MRI data were analyzed.

Results: Nineteen articles reported on 410 OSA patients and 79 controls that underwent dynamic sleep MRI and were included in this review. For meta-analysis of dynamic sleep MRI data, eight articles presented relevant data on 160 OSA patients. Obstruction was reported as follows: retropalatal (RP) 98%, retroglossal (RG) 41% and hypopharyngeal (HP) in 5%. Lateral pharyngeal wall (LPW) collapse was found in 35/73 (48%) patients. The combinations of RP + RG were observed in 24% and RP + RG + LPW in 16%. If sedation was used, 98% of study participants fell asleep compared to 66% of unsedated participants.

Conclusions: Dynamic sleep MRI has demonstrated that nearly all patients have retropalatal obstruction, retroglossal obstruction is common and hypopharyngeal obstruction is rare. Nearly all patients (98%) who are sedated are able to fall asleep during the MRI. There is significant heterogeneity in the literature and standardization is needed.

Citing Articles

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The effect of including dynamic imaging derived airway wall motion in CFD simulations of respiratory airflow in patients with OSA.

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