Literature DB >> 23390078

Improved sleep MRI at 3 tesla in patients with obstructive sleep apnea.

Lewis K Shin1, Andrew B Holbrook, Robson Capasso, Clete A Kushida, Nelson B Powell, Nancy J Fischbein, Kim Butts Pauly.   

Abstract

PURPOSE: To describe a real-time MR imaging platform for synchronous, multi-planar visualization of upper airway collapse in obstructive sleep apnea at 3 Tesla (T) to promote natural sleep with an emphasis on lateral wall visualization.
MATERIALS AND METHODS: A real-time imaging platform was configured for sleep MR imaging which used a cartesian, partial k-space gradient-echo sequence with an inherent temporal resolution of 3 independent slices every 2 s. Combinations of axial, mid-sagittal, and coronal scan planes were acquired. The system was tested in five subjects with polysomnography-proven obstructive sleep apnea during sleep, with synchronous acquisition of respiratory effort and combined oral-nasal airflow data.
RESULTS: Sleep was initiated and maintained to allow demonstration of sleep-induced, upper airway collapse as illustrated in two subjects when using a real-time, sleep MR imaging platform at 3T. Lateral wall collapse could not be visualized on mid-sagittal imaging alone and was best characterized on multiplanar coronal and axial imaging planes.
CONCLUSION: Our dedicated sleep MR imaging platform permitted an acoustic environment of constant "white noise" which was conducive to sleep onset and sleep maintenance in obstructive sleep apnea patients at 3T. Apneic episodes, specifically the lateral walls, were more accurately characterized with synchronous, multiplanar acquisitions.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  multi-slice MRI; obstructive sleep apnea; real-time MRI; sleep MRI

Mesh:

Year:  2013        PMID: 23390078     DOI: 10.1002/jmri.24029

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  7 in total

1.  Dynamic Volume Computed Tomography Imaging of the Upper Airway in Obstructive Sleep Apnea.

Authors:  Robert J Fleck; Stacey L Ishman; Sally R Shott; Ephraim J Gutmark; Keith B McConnell; Mohamed Mahmoud; Goutham Mylavarapu; Dhananjay R Subramaniam; Rhonda Szczesniak; Raouf S Amin
Journal:  J Clin Sleep Med       Date:  2017-02-15       Impact factor: 4.062

2.  Evaluation of an independent linear model for acoustic noise on a conventional MRI scanner and implications for acoustic noise reduction.

Authors:  Ziyue Wu; Yoon-Chul Kim; Michael C K Khoo; Krishna S Nayak
Journal:  Magn Reson Med       Date:  2013-06-11       Impact factor: 4.668

3.  Evaluation of upper airway collapsibility using real-time MRI.

Authors:  Ziyue Wu; Weiyi Chen; Michael C K Khoo; Sally L Davidson Ward; Krishna S Nayak
Journal:  J Magn Reson Imaging       Date:  2015-12-28       Impact factor: 4.813

4.  Cerebral metabolic rate of oxygen in obstructive sleep apnea at rest and in response to breath-hold challenge.

Authors:  Zachary B Rodgers; Sarah E Leinwand; Brendan T Keenan; Lohith G Kini; Richard J Schwab; Felix W Wehrli
Journal:  J Cereb Blood Flow Metab       Date:  2015-09-30       Impact factor: 6.200

5.  Real-time 3D magnetic resonance imaging of the pharyngeal airway in sleep apnea.

Authors:  Yoon-Chul Kim; R Marc Lebel; Ziyue Wu; Sally L Davidson Ward; Michael C K Khoo; Krishna S Nayak
Journal:  Magn Reson Med       Date:  2013-06-20       Impact factor: 4.668

Review 6.  Dynamic sleep MRI in obstructive sleep apnea: a systematic review and meta-analysis.

Authors:  Keith Volner; Silas Chao; Macario Camacho
Journal:  Eur Arch Otorhinolaryngol       Date:  2021-07-09       Impact factor: 3.236

7.  Minimum Field Strength Simulator for Proton Density Weighted MRI.

Authors:  Ziyue Wu; Weiyi Chen; Krishna S Nayak
Journal:  PLoS One       Date:  2016-05-02       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.