Investigation of inert gas washout methods in a new numerical model based on an electrical analogy.

Christoph Schmidt, Wasilios Hatziklitiu, Frederik Trinkmann, Giorgio Cattaneo, Johannes Port

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Article in Medical & biological engineering & computing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Christoph SchmidtInstitute of Biomedical Engineering, University of Stuttgart, Seidenstraße 36, 70174, Stuttgart, Germany. cs@bmt.uni-stuttgart.de.ORCID http://orcid.org/0000-0002-1487-7829

Wasilios HatziklitiuInstitute of Biomedical Engineering, University of Stuttgart, Seidenstraße 36, 70174, Stuttgart, Germany.

Frederik TrinkmannPneumology and Critical Care Medicine, Thoraxklinik at University Hospital Heidelberg, Translational Lung Research Center Heidelberg (TLRC), Member of German Center for Lung Research (DZL), Heidelberg, Germany.

Giorgio CattaneoInstitute of Biomedical Engineering, University of Stuttgart, Seidenstraße 36, 70174, Stuttgart, Germany.

Johannes PortInstitute of Biomedical Engineering, University of Stuttgart, Seidenstraße 36, 70174, Stuttgart, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inert gas washout methods have been shown to detect pathological changes in the small airways that occur in the early stages of obstructive lung diseases such as asthma and COPD. Numerical lung models support the analysis of characteristic washout curves, but are limited in their ability to simulate the complexity of lung anatomy over an appropriate time period. Therefore, the interpretation of patient-specific washout data remains a challenge. A new numerical lung model is presented in which electrical components describe the anatomical and physiological characteristics of the lung as well as gas-specific properties. To verify that the model is able to reproduce characteristic washout curves, the phase 3 slopes (S

Indexed as

LungModels, BiologicalNoble GasesComputer SimulationHeliumHumansHeliumNoble GasesCompartment modelConvectionDiffusionElectrical analogyLung modelMultibreath washout

Identifiers

PMID39373835

DOI10.1007/s11517-024-03200-1

PMCPMC11750920

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.