Data on hydrodynamic flow and aspiration mechanisms in a patient-specific pharyngolaryngeal model with variable epiglottis anglesMendeley Data
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 visc...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924011661 |
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| author | Amr Seifelnasr Chen Sun Peng Ding Xiuhua April Si Jinxiang Xi |
| author_facet | Amr Seifelnasr Chen Sun Peng Ding Xiuhua April Si Jinxiang Xi |
| author_sort | Amr Seifelnasr |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-210628fd2d9748a4a2b70d0df76e1d9e |
| institution | Kabale University |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-210628fd2d9748a4a2b70d0df76e1d9e2025-01-31T05:11:29ZengElsevierData in Brief2352-34092025-02-0158111204Data on hydrodynamic flow and aspiration mechanisms in a patient-specific pharyngolaryngeal model with variable epiglottis anglesMendeley DataAmr Seifelnasr0Chen Sun1Peng Ding2Xiuhua April Si3Jinxiang Xi4Department of Biomedical Engineering, University of Massachusetts, 1 University Ave., Lowell, MA 01854, USADepartment of Urology, The First Hospital of Jilin University, Changchun 130021, ChinaDepartment of Otolaryngology-Head and Neck Surgery, Cleveland Clinic Lerner College of Medicine, 9501 Euclid Ave, Cleveland, OH 44195, USADepartment of Mechanical Engineering, California Baptist University, 8432 Magnolia Ave, Riverside, CA 92504, USADepartment of Biomedical Engineering, University of Massachusetts, 1 University Ave., Lowell, MA 01854, USA; Corresponding author.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.http://www.sciencedirect.com/science/article/pii/S2352340924011661EpiglottisSwallowing dynamicsDysphagiaLaryngeal vestibuleBiomechanical modellingEtiology-based intervention |
| spellingShingle | Amr Seifelnasr Chen Sun Peng Ding Xiuhua April Si Jinxiang Xi Data on hydrodynamic flow and aspiration mechanisms in a patient-specific pharyngolaryngeal model with variable epiglottis anglesMendeley Data Data in Brief Epiglottis Swallowing dynamics Dysphagia Laryngeal vestibule Biomechanical modelling Etiology-based intervention |
| title | Data on hydrodynamic flow and aspiration mechanisms in a patient-specific pharyngolaryngeal model with variable epiglottis anglesMendeley Data |
| title_full | Data on hydrodynamic flow and aspiration mechanisms in a patient-specific pharyngolaryngeal model with variable epiglottis anglesMendeley Data |
| title_fullStr | Data on hydrodynamic flow and aspiration mechanisms in a patient-specific pharyngolaryngeal model with variable epiglottis anglesMendeley Data |
| title_full_unstemmed | Data on hydrodynamic flow and aspiration mechanisms in a patient-specific pharyngolaryngeal model with variable epiglottis anglesMendeley Data |
| title_short | Data on hydrodynamic flow and aspiration mechanisms in a patient-specific pharyngolaryngeal model with variable epiglottis anglesMendeley Data |
| title_sort | data on hydrodynamic flow and aspiration mechanisms in a patient specific pharyngolaryngeal model with variable epiglottis anglesmendeley data |
| topic | Epiglottis Swallowing dynamics Dysphagia Laryngeal vestibule Biomechanical modelling Etiology-based intervention |
| url | http://www.sciencedirect.com/science/article/pii/S2352340924011661 |
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