3D analysis of upper airway morphology related to obstructive sleep apnea severity

被引:1
作者
Jessadapornchai, Tuangporn [1 ]
Samruajbenjakun, Bancha [1 ]
Chanmanee, Pannapat [1 ]
Chalidapongse, Premthip [2 ]
机构
[1] Prince Songkla Univ, Fac Dent, Dept Prevent Dent, Hat Yai, Songkhla, Thailand
[2] Prince Songkla Univ, Fac Dent, Dept Oral Diagnost Sci, Hat Yai, Songkhla, Thailand
关键词
Airway obstruction; Cone-beam computed tomography; Severity; Sleep apnea; Upper airway morphology; CONE-BEAM CT; ANATOMY; PATHOPHYSIOLOGY; COLLAPSIBILITY;
D O I
10.1016/j.ejwf.2024.03.003
中图分类号
R78 [口腔科学];
学科分类号
1003 ;
摘要
Background: Obstructive sleep apnea (OSA) is the most common sleep-related breathing disorder characterized by repetitive collapse of the upper airway during sleep. However, little evidence is available on the differences between the sub-regions of the upper airway morphology and OSA severity. Since orthodontists frequently perform cone beam computed tomography (CBCT) in the neck area, we aimed to investigate the relationship and the differences between upper airway morphology and OSA severity using CBCT. Materials and methods: The medical records, CBCT imaging of 21 OSA patients diagnosed by polysomnography, and the apnea-hypopnea index (AHI) results were included to classify OSA severity as mild, moderate, or severe. The minimum cross-sectional areas (MCA) and volumes of the upper pharyngeal airway boundaries in four sub-regions: nasopharynx, retropalatal, retroglossal, and hypopharynx were measured. Dolphin Imaging software was used for upper airway segmentation. The correlation coefficient (r), oneway ANOVA, and the least significant difference post hoc multiple comparison test were applied to fulfill the objectives. Results: A statistically significant relationship was found between the MCA of the nasopharynx and the AHI (r = -0.473, P < 0.05). Furthermore, a difference was found between mild and moderate and moderate and severe OSA severity in the MCA results of the retroglossal region ( P < 0.05). However, no relationship was found between the upper airway volume and OSA severity. Conclusions: MCA was moderately negatively correlated to AHI only in the nasopharynx subregion. Moderate OSA presented significantly less MCA than mild and severe OSA only in the oropharynx and retroglossal subregions. (c) 2024 World Federation of Orthodontists. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:175 / 180
页数:6
相关论文
共 34 条
  • [1] Impact of Distraction Osteogenesis Maxillary Expansion on the Internal Nasal Valve in Obstructive Sleep Apnea
    Abdelwahab, Mohamed
    Yoon, Audrey
    Okland, Tyler
    Poomkonsarn, Sasikarn
    Gouveia, Chris
    Liu, Stanley Yung-Chuan
    [J]. OTOLARYNGOLOGY-HEAD AND NECK SURGERY, 2019, 161 (02) : 362 - 367
  • [2] Comparison of airway space with conventional lateral headfilms and 3-dimensional reconstruction from cone-beam computed tomography
    Aboudara, Cameron
    Nielsen, Ib
    Huang, John C.
    Maki, Koutaro
    Miller, Arthur J.
    Hatcher, David
    [J]. AMERICAN JOURNAL OF ORTHODONTICS AND DENTOFACIAL ORTHOPEDICS, 2009, 135 (04) : 468 - 479
  • [3] Three-Dimensional Computed Tomographic Analysis of Airway Anatomy in Patients With Obstructive Sleep Apnea
    Abramson, Zachary
    Susarla, Srinivas
    August, Meredith
    Troulis, Maria
    Kaban, Leonard
    [J]. JOURNAL OF ORAL AND MAXILLOFACIAL SURGERY, 2010, 68 (02) : 354 - 362
  • [4] Three-dimensional segmentation of the upper airway using cone beam CT: a systematic review
    Alsufyani, N. A.
    Flores-Mir, C.
    Major, P. W.
    [J]. DENTOMAXILLOFACIAL RADIOLOGY, 2012, 41 (04) : 276 - 284
  • [5] Upper airway imaging in sleep-disordered breathing: role of cone-beam computed tomography
    Alsufyani, Noura A.
    Noga, Michelle L.
    Witmans, Manisha
    Major, Paul W.
    [J]. ORAL RADIOLOGY, 2017, 33 (03) : 161 - 169
  • [6] Three-dimensional evaluation of the posterior airway space: differences in computed tomography and cone beam computed tomography
    Ayoub, Nassim
    Eble, Philipp
    Kniha, Kristian
    Peters, Florian
    Moehlhenrich, Stephan Christian
    Goloborodko, Evgeny
    Hoelzle, Frank
    Modabber, Ali
    [J]. CLINICAL ORAL INVESTIGATIONS, 2019, 23 (02) : 603 - 609
  • [7] Obstructive sleep apnea and orthodontics: An American Association of Orthodontists White Paper
    Behrents, Rolf G.
    Shelgikar, Anita Valanju
    Conley, R. Scott
    Flores-Mir, Carlos
    Hans, Mark
    Levine, Mitchell
    McNamara, James A.
    Palomo, Juan Martin
    Pliska, Benjamin
    Stockstill, John W.
    Wise, John
    Murphy, Sean
    Nagel, Norman J.
    Hittner, Jackie
    [J]. AMERICAN JOURNAL OF ORTHODONTICS AND DENTOFACIAL ORTHOPEDICS, 2019, 156 (01) : 13 - +
  • [8] Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis
    Benjafield, Adam V.
    Ayas, Najib T.
    Eastwood, Peter R.
    Heinzer, Raphael
    Ip, Mary S. M.
    Morrell, Mary J.
    Nunez, Carlos M.
    Patel, Sanjay R.
    Penzel, Thomas
    Pepin, Jean-Louis D.
    Peppard, Paul E.
    Sinha, Sanjeev
    Tufik, Sergio
    Valentine, Kate
    Malhotra, Atul
    [J]. LANCET RESPIRATORY MEDICINE, 2019, 7 (08) : 687 - 698
  • [9] Three-dimensional analysis of craniofacial bones and soft tissues in obstructive sleep apnea using cone beam computed tomography
    Bruwier, Annick
    Poirrier, Robert
    Albert, Adelin
    Maes, Nathalie
    Limme, Michel
    Charavet, Carole
    Milicevic, Mladen
    Raskin, Sylvianne
    Poirrier, Anne-Lise
    [J]. INTERNATIONAL ORTHODONTICS, 2016, 14 (04) : 449 - 461
  • [10] Cone-beam CT analysis of patients with obstructive sleep apnea compared to normal controls
    Buchanan, Allison
    Cohen, Ruben
    Looney, Stephen
    Kalathingal, Sajitha
    De Rossi, Scott
    [J]. IMAGING SCIENCE IN DENTISTRY, 2016, 46 (01) : 9 - 16