Correlation between cone-beam computed tomographic findings and the apnea-hypopnea index in obstructive sleep apnea patients: A cross-sectional study.

IF 1.7 Q3 DENTISTRY, ORAL SURGERY & MEDICINE
Imaging Science in Dentistry Pub Date : 2024-06-01 Epub Date: 2024-04-02 DOI:10.5624/isd.20230249
Marco Isaac, Dina Mohamed ElBeshlawy, Ahmed Elsobki, Dina Fahim Ahmed, Sarah Mohammed Kenawy
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Abstract

Purpose: The aim of this study was to explore the correlations of cone-beam computed tomographic findings with the apnea-hypopnea index in patients with obstructive sleep apnea.

Materials and methods: Forty patients with obstructive sleep apnea were selected from the ear-nose-throat (ENT) outpatient clinic, Faculty of Medicine, Mansoura University. Cone-beam computed tomography was performed for each patient at the end of both inspiration and expiration. Polysomnography was carried out, and the apnea-hypopnea index was obtained. Linear measurements, including cross-sectional area and the SNA and SNB angles, were obtained. Four oral and maxillofacial radiologists categorized pharyngeal and retropalatal airway morphology and calculated the airway length and volume. Continuous data were tested for normality using the Kolmogorov-Smirnov test and reported as the mean and standard deviation or as the median and range. Categorical data were presented as numbers and percentages, and the significance level was set at P<0.05.

Results: The minimal value of the cross-sectional area, SNB angle, and airway morphology at the end of inspiration demonstrated a statistically significant association (P<0.05) with the apnea-hypopnea index, with excellent agreement. No statistically significant difference was found in the airway volume, other linear measurements, or retropalatal airway morphology.

Conclusion: Cone-beam computed tomographic measurements in obstructive sleep apnea patients may be used as a supplement to a novel radiographic classification corresponding to the established clinical apnea-hypopnea index classification.

阻塞性睡眠呼吸暂停患者的锥形束计算机断层扫描结果与呼吸暂停-低通气指数之间的相关性:横断面研究
目的:本研究旨在探讨锥形束计算机断层扫描结果与阻塞性睡眠呼吸暂停患者呼吸暂停-低通气指数的相关性:从曼苏尔大学医学院耳鼻喉科(ENT)门诊选取 40 名阻塞性睡眠呼吸暂停患者。对每位患者在吸气和呼气结束时进行锥形束计算机断层扫描。进行了多导睡眠监测,并获得了呼吸暂停-低通气指数。还进行了线性测量,包括横截面积、SNA 角和 SNB 角。四名口腔颌面部放射科医生对咽部和腭后气道形态进行了分类,并计算了气道长度和体积。连续数据使用 Kolmogorov-Smirnov 检验法进行正态性检验,并以均值和标准差或中位数和范围的形式进行报告。分类数据以数字和百分比表示,显著性水平设定为 PResults:吸气末期的横截面积、SNB 角度和气道形态的最小值在统计学上有显著关联(PC结论:对阻塞性睡眠呼吸暂停患者进行的锥形束计算机断层扫描测量可作为一种新型放射学分类的补充,与已确立的临床呼吸暂停-低通气指数分类相对应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Imaging Science in Dentistry
Imaging Science in Dentistry DENTISTRY, ORAL SURGERY & MEDICINE-
CiteScore
2.90
自引率
11.10%
发文量
42
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