Evidence map›Paper›PMID 41622132›Full record

ArticleBMC oral health2026

Computational fluid dynamics simulation of upper airway flow and soft tissue deformation in a mouth-breathing patient: a case study.

Wei Ji, Wenting Xie, Yangyang Cui, Yaqin Xing, Zhongfang Zhang, Yuan Luo, Linkun Zhang

Abstract read
In one paragraph

Article in BMC oral health, 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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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Wei Ji *Department of Orthodontics, Wuxi Stomatology Hospital, Wuxi, 214001, Health Road 6, China.
Wenting Xie *The First Outpatient Department, Tianjin Stomatological Hospital, School of Medicine, Nankai University, Tianjin, China.
Yangyang CuiDepartment of Stomatology, Qilu Hospital of Shandong University Dezhou Hospital, Dezhou, China.
Yaqin XingDepartment of Stomatology, Beijing Electric Power Hospital of State Grid Co. of China, Capital Medical University Electric Teaching Hospital, Beijing, China.
Zhongfang ZhangDepartment of Science and Technology, Tianjin Stomatological Hospital, School of Medicine, Nankai University, Tianjin, China.
Yuan LuoDepartment of Orthodontics, Wuxi Stomatology Hospital, Wuxi, 214001, Health Road 6, China. magnum44@126.com.
Linkun ZhangTianjin Key Laboratory of Oral and Maxillofacial Function Reconstruction, Tianjin, 300041, China. linkunzhang@nankai.edu.cn.

Funding

Tianjin Key Laboratory of Oral and Maxillofacial Function Reconstruction 2023KLQN02
6 · The paper itself

Abstract

objectiveThe primary objective of this study was to establish a three-dimensional fluid-structure interaction (FSI) model to compare the biomechanical effects of three distinct breathing modes-nasal (NA), oronasal (ONA), and oral (OA) ventilation-on upper airway dynamics in mouth-breathing patients. A key aim was to investigate a potential biomechanical link between mode-specific hydrodynamic forces and the soft tissue remodeling associated with adenoidal facies.

methodsMouth-breathing volunteer was selected, and cone-beam computed tomography (CBCT) and magnetic resonance imaging (MRI) images were collected. Subsequently,3D (Three-Dimensional) finite element models of the upper airway, oral airway, soft palate, and tongue body were reconstructed. Numerical simulations of the flow fields of the three different breathing modes, named nasal ventilation, oral nose ventilation, and oral ventilation, were performed using finite element analysis software.

resultsThe simulations revealed distinct, mode-specific biomechanical environments. Oral breathing (OA) generated significantly higher airflow velocity and stronger negative pressure in the palatopharyngeal and epiglottic regions compared to nasal and oronasal breathing. This led to pronounced posterior-inferior displacement of the tongue and increased deformation of the soft palate. In contrast, nasal breathing produced turbulence confined primarily to the nasal cavity. The model successfully captured the transition to turbulent flow in the pharynx during oral breathing.

conclusionThis preliminary simulation suggests that, within the constraints of our model, oral breathing is associated with increased airflow velocity, higher negative pressure in the palatopharyngeal and epiglottic regions, and a greater posterior displacement of the tongue. These factors may collectively increase the susceptibility to pharyngeal airway collapse.

Indexed as

Computer SimulationHydrodynamicsMouth BreathingBiomechanical PhenomenaCone-Beam Computed TomographyFinite Element AnalysisHumansImaging, Three-DimensionalMagnetic Resonance ImagingNasal CavityPalate, SoftPharynxRespirationTongueCFD researchFlow filedFluid-Structure interaction (FSI)Mouth-breathing

Identifiers

PMID41622132
PMCPMC12955012

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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.