2015
DOI: 10.1007/s11517-015-1399-z
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Numerical simulation of pharyngeal airflow applied to obstructive sleep apnea: effect of the nasal cavity in anatomically accurate airway models

Abstract: Repetitive brief episodes of soft-tissue collapse within the upper airway during sleep characterize obstructive sleep apnea (OSA), an extremely common and disabling disorder. Failure to maintain the patency of the upper airway is caused by the combination of sleep-related loss of compensatory dilator muscle activity and aerodynamic forces promoting closure. The prediction of soft-tissue movement in patient-specific airway 3D mechanical models is emerging as a useful contribution to clinical understanding and d… Show more

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Cited by 32 publications
(21 citation statements)
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References 40 publications
(37 reference statements)
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“…By incorporating subject-specific geometric models derived from clinical images, personalised computer models are increasingly used among respiratory modelling studies (Dong et al, 2018;Inthavong et al, 2017;Shang et al, 2018). Previous numerical simulations in pulmonary health have focused mainly on two aspects: establishing particle dosimetry model for inhalation toxicology (Koullapis et al, T 2016;Luo and Liu, 2009) or drug delivery purposes (Inthavong et al, 2011;Kenjereš and Tjin, 2017;Yousefi et al, 2015;Yousefi et al, 2017); and understanding the airway structural effect on airflow dynamics (Inthavong et al, 2009), such as sleep apnoea associated with obstructions in extra-thoracic airways (Cisonni et al, 2015) or airway obstructions in the intrathoracic airway (Sul et al, 2014). In particular, progress has been made in the area of lung model reconstruction.…”
Section: Introductionmentioning
confidence: 99%
“…By incorporating subject-specific geometric models derived from clinical images, personalised computer models are increasingly used among respiratory modelling studies (Dong et al, 2018;Inthavong et al, 2017;Shang et al, 2018). Previous numerical simulations in pulmonary health have focused mainly on two aspects: establishing particle dosimetry model for inhalation toxicology (Koullapis et al, T 2016;Luo and Liu, 2009) or drug delivery purposes (Inthavong et al, 2011;Kenjereš and Tjin, 2017;Yousefi et al, 2015;Yousefi et al, 2017); and understanding the airway structural effect on airflow dynamics (Inthavong et al, 2009), such as sleep apnoea associated with obstructions in extra-thoracic airways (Cisonni et al, 2015) or airway obstructions in the intrathoracic airway (Sul et al, 2014). In particular, progress has been made in the area of lung model reconstruction.…”
Section: Introductionmentioning
confidence: 99%
“…LR‐OCT reconstructions could also be used for computational fluid dynamics (CFD) simulations of airflow through upper airways to quantify airflow characteristics such as resistance and wall shear. .…”
Section: Introductionmentioning
confidence: 99%
“…It is important to validate the effects of omitting the nasal cavity on the flow features in the pharynx, especially on the acting pressure forces. In [8] it has been shown, that omitting the nasal cavity decreases the precision of flow modelling in the pharyngeal part, but replacing the nasal cavity by a simple pipe results in neglectable changes of the flow patterns in the pharynx. But, the numerical simulations in [8] were performed with steady flow conditions and a nonpatient-specific inflow rate of 21.2 L min -1 equally distributed through both nostrils, although nasal obstructions have been identified as predisposing factor for OSA [9].…”
Section: Introductionmentioning
confidence: 99%
“…In [8] it has been shown, that omitting the nasal cavity decreases the precision of flow modelling in the pharyngeal part, but replacing the nasal cavity by a simple pipe results in neglectable changes of the flow patterns in the pharynx. But, the numerical simulations in [8] were performed with steady flow conditions and a nonpatient-specific inflow rate of 21.2 L min -1 equally distributed through both nostrils, although nasal obstructions have been identified as predisposing factor for OSA [9]. The investigation misses the patient-specific contributions of individual flow rates especially for significant differences in left to right nostril ventilation typical for nasal obstructions.…”
Section: Introductionmentioning
confidence: 99%
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