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使用四维计算机断层扫描和计算流体动力学分析罗宾序列婴儿的上气道流动动力学

Analysis of Upper Airway Flow Dynamics in Robin Sequence Infants Using 4-D Computed Tomography and Computational Fluid Dynamics.

作者信息

Barbour Michael, Richardson Clare, Bindschadler Mike, Friedman Seth, Bly Randall, Dahl John P, Aliseda Alberto

机构信息

Department of Mechanical Engineering, University of Washington, 4625 Union Bay PL NE, Seattle, WA, 98105, USA.

Department of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle, WA, USA.

出版信息

Ann Biomed Eng. 2023 Feb;51(2):363-376. doi: 10.1007/s10439-022-03036-6. Epub 2022 Aug 11.

Abstract

Robin Sequence (RS) is a potentially fatal craniofacial condition characterized by undersized jaw, posteriorly displaced tongue, and resultant upper airway obstruction (UAO). Accurate assessment of UAO severity is crucial for management and diagnosis of RS, yet current evaluation modalities have significant limitations and no quantitative measures of airway resistance exist. In this study, we combine 4-dimensional computed tomography and computational fluid dynamics (CFD) to assess, for the first time, UAO severity using fluid dynamic metrics in RS patients. Dramatic intrapopulation differences are found, with the ratio between most and least severe patients in breathing resistance, energy loss, and peak velocity equal to 40:1, 20:1, and 6:1, respectively. Analysis of local airflow dynamics characterized patients as presenting with primary obstructions either at the location of the tongue base, or at the larynx, with tongue base obstructions resulting in a more energetic stenotic jet and greater breathing resistance. Finally, CFD-derived flow metrics are found to correlate with the level of clinical respiratory support. Our results highlight the large intrapopulation variability, both in quantitative metrics of UAO severity (resistance, energy loss, velocity) and in the location and intensity of stenotic jets for RS patients. These results suggest that computed airflow metrics may significantly improve our understanding of UAO and its management in RS.

摘要

罗宾序列征(RS)是一种可能致命的颅面疾病,其特征为下颌过小、舌后移以及由此导致的上气道梗阻(UAO)。准确评估UAO的严重程度对于RS的管理和诊断至关重要,但目前的评估方式存在显著局限性,且不存在气道阻力的定量测量方法。在本研究中,我们首次将四维计算机断层扫描与计算流体动力学(CFD)相结合,使用流体动力学指标评估RS患者的UAO严重程度。我们发现患者群体内部存在显著差异,呼吸阻力、能量损失和峰值速度方面最严重与最不严重患者的比例分别为40:1、20:1和6:1。对局部气流动力学的分析表明,患者的主要梗阻部位要么在舌根处,要么在喉部,舌根梗阻会导致更强烈的狭窄射流和更大的呼吸阻力。最后,发现CFD得出的血流指标与临床呼吸支持水平相关。我们的结果突出了RS患者在UAO严重程度的定量指标(阻力、能量损失、速度)以及狭窄射流的位置和强度方面存在的巨大群体内部变异性。这些结果表明,计算气流指标可能会显著提高我们对RS中UAO及其管理方法的理解。

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