反应气体在肺中的吸入流动的半分析剂量学模型

IF 4.4 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Applied Mathematical Modelling Pub Date : 2025-06-01 Epub Date: 2025-01-31 DOI:10.1016/j.apm.2025.115989
Pouria Motevalian, María Antonieta Sánchez-Farrán, James S. Ultman, Ali Borhan
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引用次数: 0

摘要

本文建立了一种半分析剂量学模型,用于研究准稳定吸气过程中肺近端气道中反应性气体的输送和吸收。该模型用于预测两个月大的恒河猴肺部吸入臭氧沿选定气道路径的纵向浓度分布。考虑了两种理想的气道结构;基于计算机断层扫描(CT)测量的对称分支模型和基于磁共振成像(MRI)数据的气道测量的不对称分支模型。通过与计算流体动力学(CFD)模拟的臭氧传输和吸收的预测结果进行比较,该模型得到了验证。在所有气道路径上,非对称分支气道结构的CFD结果与模型预测之间的相对误差小于1.5%,使得剂量学模型成为捕捉肺气道内反应物质浓度纵向变化的有效计算工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A semi-analytical dosimetry model for inspiratory flow of reactive gases in the lung
A semi-analytical dosimetry model for steady flow and mass transfer in cylindrical tubes is developed for reactive gas transport and uptake in proximal airways of the lung during quasi-steady inspiratory flow. The model is used to predict the longitudinal concentration distribution of inhaled ozone along selected airway pathways in the lung of a two-month-old rhesus monkey. Two ideal airway structures are considered; a symmetrically-branched model based on computer tomography (CT) scan measurements and an asymmetric one informed by airway measurements from magnetic resonance imaging (MRI) data. The model is validated by comparison with predictions of computational fluid dynamics (CFD) simulations of ozone transport and uptake in an anatomically-accurate airway structure reconstructed from MRI data. The relative error between the CFD results and model predictions for the asymmetrically-branched airway structure is less than 1.5% along all airway paths, rendering the dosimetry model a computationally efficient tool for capturing longitudinal variations of reactive species concentration within the lung airways.
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来源期刊
Applied Mathematical Modelling
Applied Mathematical Modelling 数学-工程:综合
CiteScore
9.80
自引率
8.00%
发文量
508
审稿时长
43 days
期刊介绍: Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged. This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering. Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.
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