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Understanding the fundamentals of oscillometry from a strip of lung tissue

Metrics used in spirometry caught on in respiratory medicine not only because they provide information of clinical importance but also because of a keen understanding of what is being measured. The forced expiratory volume in 1 s (FEV(1)), for example, is the maximal volume of air that can be expell...

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Autor principal: Bossé, Ynuk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530782/
https://www.ncbi.nlm.nih.gov/pubmed/36203932
http://dx.doi.org/10.3389/fphys.2022.978332
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author Bossé, Ynuk
author_facet Bossé, Ynuk
author_sort Bossé, Ynuk
collection PubMed
description Metrics used in spirometry caught on in respiratory medicine not only because they provide information of clinical importance but also because of a keen understanding of what is being measured. The forced expiratory volume in 1 s (FEV(1)), for example, is the maximal volume of air that can be expelled during the first second of a forced expiratory maneuver starting from a lung inflated to total lung capacity (TLC). Although it represents a very gross measurement of lung function, it is now used to guide the diagnosis and management of many lung disorders. Metrics used in oscillometry are not as concrete. Resistance, for example, has several connotations and its proper meaning in the context of a lung probed by an external device is not always intuitive. I think that the popularization of oscillometry and its firm implementation in respiratory guidelines starts with a keen understanding of what exactly is being measured. This review is an attempt to clearly explain the basic metrics of oscillometry. In my opinion, the fundamentals of oscillometry can be understood using a simple example of an excised strip of lung tissue subjected to a sinusoidal strain. The key notion is to divide the sinusoidal reacting force from the tissue strip into two sinusoids, one in phase with the strain and one preceding the strain by exactly a quarter of a cycle. Similar notions can then be applied to a whole lung subjected to a sinusoidal flow imposed at the mouth by an external device to understand basic metrics of oscillometry, including resistance, elastance, impedance, inertance, reactance and resonant frequency.
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spelling pubmed-95307822022-10-05 Understanding the fundamentals of oscillometry from a strip of lung tissue Bossé, Ynuk Front Physiol Physiology Metrics used in spirometry caught on in respiratory medicine not only because they provide information of clinical importance but also because of a keen understanding of what is being measured. The forced expiratory volume in 1 s (FEV(1)), for example, is the maximal volume of air that can be expelled during the first second of a forced expiratory maneuver starting from a lung inflated to total lung capacity (TLC). Although it represents a very gross measurement of lung function, it is now used to guide the diagnosis and management of many lung disorders. Metrics used in oscillometry are not as concrete. Resistance, for example, has several connotations and its proper meaning in the context of a lung probed by an external device is not always intuitive. I think that the popularization of oscillometry and its firm implementation in respiratory guidelines starts with a keen understanding of what exactly is being measured. This review is an attempt to clearly explain the basic metrics of oscillometry. In my opinion, the fundamentals of oscillometry can be understood using a simple example of an excised strip of lung tissue subjected to a sinusoidal strain. The key notion is to divide the sinusoidal reacting force from the tissue strip into two sinusoids, one in phase with the strain and one preceding the strain by exactly a quarter of a cycle. Similar notions can then be applied to a whole lung subjected to a sinusoidal flow imposed at the mouth by an external device to understand basic metrics of oscillometry, including resistance, elastance, impedance, inertance, reactance and resonant frequency. Frontiers Media S.A. 2022-09-20 /pmc/articles/PMC9530782/ /pubmed/36203932 http://dx.doi.org/10.3389/fphys.2022.978332 Text en Copyright © 2022 Bossé. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Bossé, Ynuk
Understanding the fundamentals of oscillometry from a strip of lung tissue
title Understanding the fundamentals of oscillometry from a strip of lung tissue
title_full Understanding the fundamentals of oscillometry from a strip of lung tissue
title_fullStr Understanding the fundamentals of oscillometry from a strip of lung tissue
title_full_unstemmed Understanding the fundamentals of oscillometry from a strip of lung tissue
title_short Understanding the fundamentals of oscillometry from a strip of lung tissue
title_sort understanding the fundamentals of oscillometry from a strip of lung tissue
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530782/
https://www.ncbi.nlm.nih.gov/pubmed/36203932
http://dx.doi.org/10.3389/fphys.2022.978332
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