Investigation of tracer gas transport in a new numerical model of lung acini.
Obstructive pulmonary diseases are associated with considerable morbidity. For an early diagnosis of these diseases, inert gas washouts can potentially be used. However, the complex interaction between lung anatomy and gas transport mechanisms complicates data analysis. In order to investigate this...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 60; no. 9; pp. 2619 - 2638 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=158447323&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 158447323 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Sep2022 vid: 60 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 158447323 158447323 NLM35794345 10.1007/s11517-022-02608-x NLM35794345 158447323 ppf: 2619 ppct: 19 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Investigation of tracer gas transport in a new numerical model of lung acini. aug: au: Schmidt, Christoph Joppek, Christoph Trinkmann, Frederik Takors, Ralf Cattaneo, Giorgio Port, Johannes affil: Institute of Biomedical Engineering, University of Stuttgart, Seidenstraße 36, 70174, Stuttgart, Germany sug: subj: Models, Biological Lung Gases Clinical Assessment Tools Scales ab: Obstructive pulmonary diseases are associated with considerable morbidity. For an early diagnosis of these diseases, inert gas washouts can potentially be used. However, the complex interaction between lung anatomy and gas transport mechanisms complicates data analysis. In order to investigate this interaction, a numerical model, based on the finite difference method, consisting of two lung units connected in parallel, was developed to simulate the tracer gas transport within the human acinus. Firstly, the geometries of the units were varied and the diffusion coefficients (D) were kept constant. Secondly, D was changed and the geometry was kept constant. Furthermore, simple monoexponential growth functions were applied to evaluate the simulated data. In 109 of the 112 analyzed curves, monoexponential function matched simulated data with an accuracy of over 90%, potentially representing a suitable numerical tool to predict transport processes in further model extensions. For total flows greater than 5 × 10-4 ml/s, the exponential growth constants increased linearly with linear increasing flow to an accuracy of over 95%. The slopes of these linear trend lines of 1.23 µl-1 (D = 0.6 cm2/s), 1.69 µl-1 (D = 0.3 cm2/s), and 2.25 µl-1 (D = 0.1 cm2/s) indicated that gases with low D are more sensitive to changes in flows than gases with high D. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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