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110936

Can MDCT Measures of Upper Airway Dimensions and Central Obesity Indices Predict the Severity of Obstructive Sleep Apnea (OSA)?

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Last updated: 01 Jan 2025

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Abstract

Abstract Background: Comparative evaluation of the CT measures of upper air way, tongue adiposity and central obesity in a group of obstructive sleep apnea (OSA) patients and in a control group, and their potential role in grading of OSA severity. Aim of Study: The objective of the present study was to comparatively evaluate the different the upper air way, tongue adiposity and central obesity measures by CT scan in patients with obstructive sleep apnea syndrome (OSA) and in a control group, and their potential role in grading of OSA severity. Material and Methods: This prospective case control study was carried out on 17 OSA patients diagnosed by PSG and 16 control subjects. Non contrast MDCT scan of the upper airway and mid abdomen was performed on Philips 128 detector scanner, 1mm slice collimation during quite breathing. Axial and Sagittal reformatted images were assessed. Man-dibular plane hyoid distance (MPH), upper airway length (UAL), minimum cross-sectional area (MCA), transverse and antero-posterior diameters of the airway (TDA, APD), length and thickness of uvula and soft palate (LUV,TUV), tongue area and tongue base density (TA, TD) were measured. Image J program was used for quantification of neck and visceral adipose tissue (NAT, VAT). Results: Statistically significant difference was found in most CT measures between the OSA and control groups, the highest significant values were found with MCA, TDA, TUV and TA (p < 0.005). MCA and TA had the best diagnostic performance for OSA diagnosis. Statistically significant difference was found in MPH, UAL, MCA, TDA, TA, TD and NAT between the severe OSA and mild/moderate grades, The highest significant values was found with UAL and MCA (p=0.001, 0.002). For identifying severe OSA MCA, TDA and TA offered high diagnostic performances. Binary logistic regression found that TA and MPH were the significant predictors for severe OSA with overall % predicted=88.2%. Conclusion: Our results indicate that CT offers added value in OSA diagnosis and prediction of severity, multiple CT measures varied significantly between OSA and control group as well as between different OSA grades.

DOI

10.21608/mjcu.2020.110936

Keywords

Computed tomography, Obstructive sleep apnea, Obesity

Authors

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BASMA GADELHAK, M.D.;

Last Name

MONA EL-BESHBISHI, M.D.

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First Name

EMAN EL-NADY, M.Sc.;

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MOHAMED EL-GAMAL, M.D.

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Affiliation

The Department of Diagnostic Radiology*, Faculty of Medicine, Mansoura University, Students' Hospital**, Mansoura University and Chest Medicine Department***, Faculty of Medicine, Mansoura University

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Volume

88

Article Issue

June

Related Issue

14146

Issue Date

2020-06-01

Receive Date

2020-01-04

Publish Date

2020-06-01

Page Start

1,315

Page End

1,326

Print ISSN

0045-3803

Online ISSN

2536-9806

Link

https://mjcu.journals.ekb.eg/article_110936.html

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https://mjcu.journals.ekb.eg/service?article_code=110936

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40

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Original Article

Type Code

263

Publication Type

Journal

Publication Title

The Medical Journal of Cairo University

Publication Link

https://mjcu.journals.ekb.eg/

MainTitle

Can MDCT Measures of Upper Airway Dimensions and Central Obesity Indices Predict the Severity of Obstructive Sleep Apnea (OSA)?

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Article

Created At

22 Jan 2023