並列タイトル等Primary site identification in children with obstructive sleep apnea by computational fluid dynamics analysis of the upper airway
学位博士(歯学)
Doctor of Philosophy in Dental Science
一般注記博士論文全文, 博士論文要旨, 最終試験結果の要旨, 論文審査の要旨
Study Objectives: Obstructive sleep apnea (OSA) is a respiratory disorder caused by the obstruction of the upper airway during sleep. The identification of the primary site of OSA is essential to determine treatment strategy. This study aimed to establish computational fluid dynamics (CFD) analysis for determining the clinical severity of OSA and the primary site of OSA.
Methods: Twenty children (mean age, 6 years) were divided into OSA and control groups according to their apnea hypopnea index. Three-dimensional airways were constructed from computed tomography data. The pharyngeal airway morphology and the pressure and velocity of the upper airway were evaluated using CFD analysis.
Results: The maximum velocity and pressure of the upper airway in the OSA group were significantly correlated with the severity of OSA (rs = 0.741, P < 0.001; rs = 0.653, P = 0.002). A velocity higher than 12 m/s indicated the primary site of OSA. In addition, we found that the primary site of OSA is not necessarily the same as the collapsible conduit site.
Conclusions: CFD analysis allows both the evaluation of the disease severity of OSA and the identification of the primary site of OSA in children. The primary site of OSA is not necessarily the same as the collapsible conduit site; therefore, CFD analysis can be used to identify the appropriate intervention for treating OSA.
Ayaka Yanagisawa-Minami, Takeshi Sugiyama, Tomonori Iwasaki, Youichi Yamasaki
Primary site identification in children with obstructive sleep apnea by computational fluid dynamics analysis of the upper airway
Journal of Clinical Sleep Medicine 16(3) 2020
https://doi.org/10.5664/jcsm.8224
This article has been accepted for publication in the Journal of Clinical Sleep Medicine published by the American Academy of Sleep Medicine
連携機関・データベース国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）