Evidence map›Paper›PMID 39758518›Full record

ArticleData in brief2025

Data on hydrodynamic flow and aspiration mechanisms in a patient-specific pharyngolaryngeal model with variable epiglottis angles.

Amr Seifelnasr, Chen Sun, Peng Ding, Xiuhua April Si, Jinxiang Xi

Abstract read
In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Amr SeifelnasrDepartment of Biomedical Engineering, University of Massachusetts, 1 University Ave., Lowell, MA 01854, USA.
Chen SunDepartment of Urology, The First Hospital of Jilin University, Changchun 130021, China.
Peng DingDepartment of Otolaryngology-Head and Neck Surgery, Cleveland Clinic Lerner College of Medicine, 9501 Euclid Ave, Cleveland, OH 44195, USA.
Xiuhua April SiDepartment of Mechanical Engineering, California Baptist University, 8432 Magnolia Ave, Riverside, CA 92504, USA.
Jinxiang XiDepartment of Biomedical Engineering, University of Massachusetts, 1 University Ave., Lowell, MA 01854, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This dataset comprises a comprehensive collection of videos and images illustrating the fluid dynamics of swallowing and aspiration in a patient-specific pharyngolaryngeal model with varying epiglottis angles. The data also includes the physical properties of the fluids used, comprising dynamic viscosity, surface tension, and contact angle. Videos under varying swallowing conditions were collected to investigate the mechanisms underlying aspiration. The study utilized a biomechanical swallowing model developed using transparent casts of an anatomically accurate pharyngolaryngeal structure. Fluorescent dye was used to visualize the liquid flow dynamics from both side and back views. The dataset includes videos for two types of liquids, water and a 1% w/v methylcellulose aqueous solution, evaluated under two dispensing speeds (fast and slow) and two dispensing locations (anterior and posterior) across four epiglottis angles (30° up-tilt, 0° horizontal, 45° down-tilt, and 80° down-tilt). Additionally, the dataset includes photos of the pharyngolaryngeal model setup, photos of the epiglottis models used, and STL files for both the pharyngolaryngeal model and the epiglottis 3D models. The videos document the distinct flow patterns and frequent aspiration sites identified during the experiments, including the interarytenoid notch, the cuneiform tubercular recess, and the vallecula. These data are valuable for researchers aiming to understand the etiology of dysphagia and can be reused to validate computational models, guide future experimental designs, and inform clinical diagnostics and treatment strategies. The dataset is organized into folders based on the epiglottis angles, dispensing speeds, and locations, as well as liquid types. This organization facilitates easy access and analysis for researchers in biomedical engineering, clinical research, and computational biology. The data provide a rich resource for further investigation into swallowing mechanics and the development of etiology-based interventions for dysphagia management.

Indexed as

Biomechanical modellingDysphagiaEpiglottisEtiology-based interventionLaryngeal vestibuleSwallowing dynamics

Identifiers

PMID39758518
PMCPMC11699481

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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.