Evidence map›Paper›PMID 42435157›Full record

ArticleSleep & breathing = Schlaf & Atmung2026

Biomechanical analysis of upper airway airflow characteristics in children.

Tong Wang, Junyi Liu, Hua Yang

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Article in Sleep & breathing = Schlaf & Atmung, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Tong Wang *Department of Otolaryngology, West China Second Hospital of Sichuan University, No. 20, Section 3, Renmin South Road, Chengdu, 610041, China.
Junyi Liu *Department of Otolaryngology, West China Second Hospital of Sichuan University, No. 20, Section 3, Renmin South Road, Chengdu, 610041, China.
Hua YangDepartment of Otolaryngology, West China Second Hospital of Sichuan University, No. 20, Section 3, Renmin South Road, Chengdu, 610041, China. yanghua071996@163.com.ORCID http://orcid.org/0000-0002-1863-2992

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeUpper airway airflow biomechanics in children are inextricably linked to regional anatomy and physiological function. This study integrates advanced medical imaging with computational fluid dynamics (CFD) to characterize the aerodynamic properties of the pediatric upper airway via three-dimensional (3D) reconstruction. These biomechanical insights aim to clarify the pathogenesis of airway disorders and inform diagnostic and therapeutic strategies.

methodsWe enrolled four healthy pediatric subjects (aged 6.8-11.9 years; two males, two females) with no history of upper respiratory pathology. DICOM datasets were imported into Mimics 21.0 to segment the air-fluid volumes (nasal cavity, nasopharynx, and pharynx) via Hounsfield unit thresholding. Subsequent 3D surface models were smoothed in Geomagic Studio 17.0 and volumetrically meshed using Ansys ICEM 21.0. Steady-state aerodynamic simulations were executed in Ansys Fluent 21.0 at a physiological flow rate of 500 mL/s.

resultsUnder quiet breathing conditions, inlet flow velocities ranged from 2.122 to 9.8 m/s (specifically 3.959, 2.122, 3.070, and 9.8 m/s for Subjects A-D, respectively). The distances from the nasal vestibule to the choanae ranged from 5.37 to 6.38 cm. Nasal resistance was measured at 0.1148, 0.1002, 0.109, and 0.42 Pa/(cm

conclusionPediatric upper airway aerodynamics exhibit substantial intra-regional and inter-individual heterogeneity, characterized by elevated turbulence and shear stress concentrated at the nasal valve and nasopharynx. The synergy of 3D anatomical modeling and CFD simulation establishes a robust paradigm for evaluating airway biomechanics. Clinically, these CFD-derived metrics hold significant promise for localizing functional stenoses, enhancing diagnostic precision, and facilitating personalized surgical interventions for pediatric upper airway obstruction.

Indexed as

Imaging, Three-DimensionalNasal CavityNasopharynxPharynxPulmonary VentilationAirway ResistanceBiomechanical PhenomenaChildComputer SimulationFemaleHumansHydrodynamicsMaleReference ValuesAirflow dynamicsComputational fluid dynamicsPediatric upper airwayShear stressThree-dimensional reconstructionTurbulence

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.