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具有可变会厌角度的患者特异性咽喉模型中的流体动力学流动和抽吸机制数据。

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

作者信息

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

机构信息

Department of Biomedical Engineering, University of Massachusetts, 1 University Ave., Lowell, MA 01854, USA.

Department of Urology, The First Hospital of Jilin University, Changchun 130021, China.

出版信息

Data Brief. 2024 Dec 9;58:111204. doi: 10.1016/j.dib.2024.111204. eCollection 2025 Feb.

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.

摘要

该数据集包含一系列全面的视频和图像,展示了在具有不同会厌角度的患者特异性咽喉模型中吞咽和误吸的流体动力学。数据还包括所使用流体的物理特性,包括动态粘度、表面张力和接触角。收集了不同吞咽条件下的视频,以研究误吸的潜在机制。该研究使用了一个生物力学吞咽模型,该模型是用解剖学精确的咽喉结构的透明铸模开发的。使用荧光染料从侧面和背面观察来可视化液体流动动力学。该数据集包括两种液体(水和1% w/v甲基纤维素水溶液)在四种会厌角度(上倾30°、水平0°、下倾45°和下倾80°)下,在两种 dispensing 速度(快和慢)和两个 dispensing 位置(前部和后部)进行评估的视频。此外,数据集还包括咽喉模型设置的照片、所使用的会厌模型的照片以及咽喉模型和会厌3D模型的STL文件。这些视频记录了实验过程中识别出的不同流动模式和频繁的误吸部位,包括杓间切迹、楔状结节隐窝和会厌谷。这些数据对于旨在了解吞咽困难病因的研究人员具有重要价值,可用于重新验证计算模型、指导未来的实验设计以及为临床诊断和治疗策略提供信息。该数据集根据会厌角度、dispensing 速度和位置以及液体类型组织成文件夹。这种组织方式便于生物医学工程、临床研究和计算生物学领域的研究人员轻松访问和分析。这些数据为进一步研究吞咽力学以及开发基于病因的吞咽困难管理干预措施提供了丰富的资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5ae/11699481/fdfd8d44f554/gr1.jpg

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