Hélène Van Gaver1, Sara Op de Beeck1,2,3, Marijke Dieltjens1,2,4, Jan De Backer5, Johan Verbraecken1,3,6, Wilfried A De Backer1, Paul H Van de Heyning1,2, Marc J Braem1,4, Olivier M Vanderveken1,2,3. 1. Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium. 2. Department of Otorhinolaryngology, Head and Neck Surgery, Antwerp University Hospital, Antwerp, Belgium. 3. Multidisciplinary Sleep Disorders Centre, Antwerp University Hospital, Antwerp, Belgium. 4. Department of Special Dentistry Care, Antwerp University Hospital, Antwerp, Belgium. 5. Fluidda Nevada, Kontich, Belgium. 6. Department of Pulmonary Medicine, Antwerp University Hospital, Antwerp, Belgium.
Abstract
STUDY OBJECTIVES: Mandibular advancement devices (MADs) are a noninvasive treatment option for patients with obstructive sleep apnea (OSA) and act by increasing the upper airway volume. However, the exact therapeutic mechanism of action remains unclear. The aim of this study was to assess MAD mechanisms using functional imaging that combines imaging techniques and computational fluid dynamics and assess associations with treatment outcome. METHODS: One hundred patients with OSA were prospectively included and treated with a custom-made MAD at a fixed 75% protrusion. A low-dose computed tomography scan was made with and without MADs for computational fluid dynamics analysis. Patients underwent a baseline and 3-month follow-up polysomnography to evaluate treatment efficacy. A reduction in apnea-hypopnea index ≥ 50% defined treatment response. RESULTS: Overall, 71 patients completed both 3-month follow-up polysomnography and low-dose computed tomography scan with computational fluid dynamics analysis. MAD treatment significantly reduced the apnea-hypopnea index (16.5 [10.4-23.6] events/h to 9.1 [3.9-16.4] events/h; P < .001, median [quartile 1-quartile 3]) and significantly increased the total upper airway volume (8.6 [5.4-12.8] cm3 vs 10.7 [6.4-15.4] cm3; P = .003), especially the velopharyngeal volume (2.1 [0.5-4.1] cm3 vs 3.3 [1.8-6.0] cm3; P < .001). However, subanalyses in responders and nonresponders only showed a significant increase in the total upper airway volume in responders, not in nonresponders. CONCLUSIONS: MAD acts by increasing the total upper airway volume, predominantly due to an increase in the velopharyngeal volume. Responders showed a significant increase in the total upper airway volume with MAD treatment, while there was no significant increase in nonresponders. Findings add evidence to implement functional imaging using computational fluid dynamics in routine MAD outcome prediction. CLINICAL TRIAL REGISTRATION: Registry: ClinicalTrials.gov; Name: Predicting Therapeutic Outcome of Mandibular Advancement Device Treatment in Obstructive Sleep Apnea; URL: https://clinicaltrials.gov/ct2/show/NCT01532050; Identifier: NCT01532050. CITATION: Van Gaver H, Op de Beeck S, Dieltjens M, et al. Functional imaging improves patient selection for mandibular advancement device treatment outcome in sleep-disordered breathing: a prospective study. J Clin Sleep Med. 2022;18(3):739-750.
STUDY OBJECTIVES: Mandibular advancement devices (MADs) are a noninvasive treatment option for patients with obstructive sleep apnea (OSA) and act by increasing the upper airway volume. However, the exact therapeutic mechanism of action remains unclear. The aim of this study was to assess MAD mechanisms using functional imaging that combines imaging techniques and computational fluid dynamics and assess associations with treatment outcome. METHODS: One hundred patients with OSA were prospectively included and treated with a custom-made MAD at a fixed 75% protrusion. A low-dose computed tomography scan was made with and without MADs for computational fluid dynamics analysis. Patients underwent a baseline and 3-month follow-up polysomnography to evaluate treatment efficacy. A reduction in apnea-hypopnea index ≥ 50% defined treatment response. RESULTS: Overall, 71 patients completed both 3-month follow-up polysomnography and low-dose computed tomography scan with computational fluid dynamics analysis. MAD treatment significantly reduced the apnea-hypopnea index (16.5 [10.4-23.6] events/h to 9.1 [3.9-16.4] events/h; P < .001, median [quartile 1-quartile 3]) and significantly increased the total upper airway volume (8.6 [5.4-12.8] cm3 vs 10.7 [6.4-15.4] cm3; P = .003), especially the velopharyngeal volume (2.1 [0.5-4.1] cm3 vs 3.3 [1.8-6.0] cm3; P < .001). However, subanalyses in responders and nonresponders only showed a significant increase in the total upper airway volume in responders, not in nonresponders. CONCLUSIONS: MAD acts by increasing the total upper airway volume, predominantly due to an increase in the velopharyngeal volume. Responders showed a significant increase in the total upper airway volume with MAD treatment, while there was no significant increase in nonresponders. Findings add evidence to implement functional imaging using computational fluid dynamics in routine MAD outcome prediction. CLINICAL TRIAL REGISTRATION: Registry: ClinicalTrials.gov; Name: Predicting Therapeutic Outcome of Mandibular Advancement Device Treatment in Obstructive Sleep Apnea; URL: https://clinicaltrials.gov/ct2/show/NCT01532050; Identifier: NCT01532050. CITATION: Van Gaver H, Op de Beeck S, Dieltjens M, et al. Functional imaging improves patient selection for mandibular advancement device treatment outcome in sleep-disordered breathing: a prospective study. J Clin Sleep Med. 2022;18(3):739-750.
Authors: Olivier M Vanderveken; Annick Devolder; Marie Marklund; An N Boudewyns; Marc J Braem; Walter Okkerse; Johan A Verbraecken; Karl A Franklin; Wilfried A De Backer; Paul H Van de Heyning Journal: Am J Respir Crit Care Med Date: 2007-08-02 Impact factor: 21.405
Authors: Elizabeth C Brown; Shaokoon Cheng; David K McKenzie; Jane E Butler; Simon C Gandevia; Lynne E Bilston Journal: Sleep Date: 2013-03-01 Impact factor: 5.849
Authors: Anneclaire V M T Vroegop; Olivier M Vanderveken; Marijke Dieltjens; Kristien Wouters; Vera Saldien; Marc J Braem; Paul H Van de Heyning Journal: J Sleep Res Date: 2012-12-04 Impact factor: 3.981