Aerosol deposition predictions in computed tomography-derived skeletons from severe asthmatics: A feasibility study
The authors numerically investigated the correlation between airway skeletons of severe asthmatic human subjects and predicted aerosol deposition to shed light on the effect of environmental factors on asthma risk. We hypothesized that there are asthmatic subjects whose airway skeletal structure can...
Gespeichert in:
Veröffentlicht in: | Clinical biomechanics (Bristol) 2019-06, Vol.66, p.81-87 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 87 |
---|---|
container_issue | |
container_start_page | 81 |
container_title | Clinical biomechanics (Bristol) |
container_volume | 66 |
creator | Miyawaki, Shinjiro Hoffman, Eric A. Wenzel, Sally E. Lin, Ching-Long |
description | The authors numerically investigated the correlation between airway skeletons of severe asthmatic human subjects and predicted aerosol deposition to shed light on the effect of environmental factors on asthma risk. We hypothesized that there are asthmatic subjects whose airway skeletal structure can expose the subject to a risk of higher local aerosol deposition compared to subjects with a more common/normal branching pattern.
From a population of severe asthmatics studied at total lung capacity via computed tomography we randomly selected 8 subjects whose Forced Expiratory Volume in 1s, percent predicted fell below 45% predicted. To simulate aerosol motion in the human lungs, we employed in-house three-dimensional eddy-resolving computational fluid dynamics and particle tracking models utilizing 3 of the 8 severe asthmatic subjects. One of the 3 subjects was found to have a distinct, localized airway narrowing chosen for further investigation. In the simulation, we controlled flow rate and luminal area, i.e., Reynolds and Stokes numbers, in each branch of the computed tomography-derived airway skeletons.
We found a distinct enhancement of aerosol deposition associated with the narrowed branches of one subject even when the luminal area was numerically adjusted from its narrowed state to that of a non-asthmatic subject. The branching angle, freed of luminal narrowing persisted in demonstrating a marginally significant increase in local particle deposition compared with the subjects without the initial constriction.
These results demonstrate the possibility that inherent airway structure may influence localized constriction found in severe asthmatics. |
doi_str_mv | 10.1016/j.clinbiomech.2017.10.020 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5934349</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0268003317302735</els_id><sourcerecordid>1963473177</sourcerecordid><originalsourceid>FETCH-LOGICAL-c483t-7416819917b07b21222b60819599158dbe7be59285147fe552393fc148c4ead83</originalsourceid><addsrcrecordid>eNqNkU9v1DAQxS0EotvCV0DmxiWL_yWOOSCtVkCRKnGBs-XYk66XJA62s9J--zraUpUbJ1tv3rwZzQ-h95RsKaHNx-PWDn7qfBjBHraMUFn0LWHkBdrQVqqKMklfog1hTVsRwvkVuk7pSAgRrJav0RVTlCnO2QalHcSQwoAdzCH57MOE5wjO2_WbsJ-wDeO8ZHA4hzHcRzMfzpWD6E9FSr9hgLwa-xhGnOAEEbBJ-TCa7G36hHe4B5N85wefzzjlxZ3foFe9GRK8fXxv0K-vX37ub6u7H9--73d3lRUtz5UUtGmpUlR2RHaMMsa6hhSlLlrdug5kB7VibU2F7KGuGVe8t1S0VoBxLb9Bny-589KN4CxMOZpBz9GPJp51MF7_W5n8Qd-Hk64VF1yoEvDhMSCGPwukrEefLAyDmSAsSVPVcCE5lbJY1cVqyzlThP5pDCV6haaP-hk0vUJbSwVa6X33fM-nzr-UimF_MUC51slD1Ml6mGzBFMFm7YL_jzEPmzSxlw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1963473177</pqid></control><display><type>article</type><title>Aerosol deposition predictions in computed tomography-derived skeletons from severe asthmatics: A feasibility study</title><source>Elsevier ScienceDirect Journals Complete - AutoHoldings</source><creator>Miyawaki, Shinjiro ; Hoffman, Eric A. ; Wenzel, Sally E. ; Lin, Ching-Long</creator><creatorcontrib>Miyawaki, Shinjiro ; Hoffman, Eric A. ; Wenzel, Sally E. ; Lin, Ching-Long</creatorcontrib><description>The authors numerically investigated the correlation between airway skeletons of severe asthmatic human subjects and predicted aerosol deposition to shed light on the effect of environmental factors on asthma risk. We hypothesized that there are asthmatic subjects whose airway skeletal structure can expose the subject to a risk of higher local aerosol deposition compared to subjects with a more common/normal branching pattern.
From a population of severe asthmatics studied at total lung capacity via computed tomography we randomly selected 8 subjects whose Forced Expiratory Volume in 1s, percent predicted fell below 45% predicted. To simulate aerosol motion in the human lungs, we employed in-house three-dimensional eddy-resolving computational fluid dynamics and particle tracking models utilizing 3 of the 8 severe asthmatic subjects. One of the 3 subjects was found to have a distinct, localized airway narrowing chosen for further investigation. In the simulation, we controlled flow rate and luminal area, i.e., Reynolds and Stokes numbers, in each branch of the computed tomography-derived airway skeletons.
We found a distinct enhancement of aerosol deposition associated with the narrowed branches of one subject even when the luminal area was numerically adjusted from its narrowed state to that of a non-asthmatic subject. The branching angle, freed of luminal narrowing persisted in demonstrating a marginally significant increase in local particle deposition compared with the subjects without the initial constriction.
These results demonstrate the possibility that inherent airway structure may influence localized constriction found in severe asthmatics.</description><identifier>ISSN: 0268-0033</identifier><identifier>EISSN: 1879-1271</identifier><identifier>DOI: 10.1016/j.clinbiomech.2017.10.020</identifier><identifier>PMID: 29129332</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>Branching angle ; Geometric airway model ; Luminal area ; Numerical aerosol model ; Subject-specific</subject><ispartof>Clinical biomechanics (Bristol), 2019-06, Vol.66, p.81-87</ispartof><rights>2017 Elsevier Ltd</rights><rights>Copyright © 2017 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c483t-7416819917b07b21222b60819599158dbe7be59285147fe552393fc148c4ead83</citedby><cites>FETCH-LOGICAL-c483t-7416819917b07b21222b60819599158dbe7be59285147fe552393fc148c4ead83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.clinbiomech.2017.10.020$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,778,782,883,3539,27907,27908,45978</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29129332$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Miyawaki, Shinjiro</creatorcontrib><creatorcontrib>Hoffman, Eric A.</creatorcontrib><creatorcontrib>Wenzel, Sally E.</creatorcontrib><creatorcontrib>Lin, Ching-Long</creatorcontrib><title>Aerosol deposition predictions in computed tomography-derived skeletons from severe asthmatics: A feasibility study</title><title>Clinical biomechanics (Bristol)</title><addtitle>Clin Biomech (Bristol, Avon)</addtitle><description>The authors numerically investigated the correlation between airway skeletons of severe asthmatic human subjects and predicted aerosol deposition to shed light on the effect of environmental factors on asthma risk. We hypothesized that there are asthmatic subjects whose airway skeletal structure can expose the subject to a risk of higher local aerosol deposition compared to subjects with a more common/normal branching pattern.
From a population of severe asthmatics studied at total lung capacity via computed tomography we randomly selected 8 subjects whose Forced Expiratory Volume in 1s, percent predicted fell below 45% predicted. To simulate aerosol motion in the human lungs, we employed in-house three-dimensional eddy-resolving computational fluid dynamics and particle tracking models utilizing 3 of the 8 severe asthmatic subjects. One of the 3 subjects was found to have a distinct, localized airway narrowing chosen for further investigation. In the simulation, we controlled flow rate and luminal area, i.e., Reynolds and Stokes numbers, in each branch of the computed tomography-derived airway skeletons.
We found a distinct enhancement of aerosol deposition associated with the narrowed branches of one subject even when the luminal area was numerically adjusted from its narrowed state to that of a non-asthmatic subject. The branching angle, freed of luminal narrowing persisted in demonstrating a marginally significant increase in local particle deposition compared with the subjects without the initial constriction.
These results demonstrate the possibility that inherent airway structure may influence localized constriction found in severe asthmatics.</description><subject>Branching angle</subject><subject>Geometric airway model</subject><subject>Luminal area</subject><subject>Numerical aerosol model</subject><subject>Subject-specific</subject><issn>0268-0033</issn><issn>1879-1271</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNqNkU9v1DAQxS0EotvCV0DmxiWL_yWOOSCtVkCRKnGBs-XYk66XJA62s9J--zraUpUbJ1tv3rwZzQ-h95RsKaHNx-PWDn7qfBjBHraMUFn0LWHkBdrQVqqKMklfog1hTVsRwvkVuk7pSAgRrJav0RVTlCnO2QalHcSQwoAdzCH57MOE5wjO2_WbsJ-wDeO8ZHA4hzHcRzMfzpWD6E9FSr9hgLwa-xhGnOAEEbBJ-TCa7G36hHe4B5N85wefzzjlxZ3foFe9GRK8fXxv0K-vX37ub6u7H9--73d3lRUtz5UUtGmpUlR2RHaMMsa6hhSlLlrdug5kB7VibU2F7KGuGVe8t1S0VoBxLb9Bny-589KN4CxMOZpBz9GPJp51MF7_W5n8Qd-Hk64VF1yoEvDhMSCGPwukrEefLAyDmSAsSVPVcCE5lbJY1cVqyzlThP5pDCV6haaP-hk0vUJbSwVa6X33fM-nzr-UimF_MUC51slD1Ml6mGzBFMFm7YL_jzEPmzSxlw</recordid><startdate>20190601</startdate><enddate>20190601</enddate><creator>Miyawaki, Shinjiro</creator><creator>Hoffman, Eric A.</creator><creator>Wenzel, Sally E.</creator><creator>Lin, Ching-Long</creator><general>Elsevier Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20190601</creationdate><title>Aerosol deposition predictions in computed tomography-derived skeletons from severe asthmatics: A feasibility study</title><author>Miyawaki, Shinjiro ; Hoffman, Eric A. ; Wenzel, Sally E. ; Lin, Ching-Long</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c483t-7416819917b07b21222b60819599158dbe7be59285147fe552393fc148c4ead83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Branching angle</topic><topic>Geometric airway model</topic><topic>Luminal area</topic><topic>Numerical aerosol model</topic><topic>Subject-specific</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Miyawaki, Shinjiro</creatorcontrib><creatorcontrib>Hoffman, Eric A.</creatorcontrib><creatorcontrib>Wenzel, Sally E.</creatorcontrib><creatorcontrib>Lin, Ching-Long</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Clinical biomechanics (Bristol)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Miyawaki, Shinjiro</au><au>Hoffman, Eric A.</au><au>Wenzel, Sally E.</au><au>Lin, Ching-Long</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Aerosol deposition predictions in computed tomography-derived skeletons from severe asthmatics: A feasibility study</atitle><jtitle>Clinical biomechanics (Bristol)</jtitle><addtitle>Clin Biomech (Bristol, Avon)</addtitle><date>2019-06-01</date><risdate>2019</risdate><volume>66</volume><spage>81</spage><epage>87</epage><pages>81-87</pages><issn>0268-0033</issn><eissn>1879-1271</eissn><abstract>The authors numerically investigated the correlation between airway skeletons of severe asthmatic human subjects and predicted aerosol deposition to shed light on the effect of environmental factors on asthma risk. We hypothesized that there are asthmatic subjects whose airway skeletal structure can expose the subject to a risk of higher local aerosol deposition compared to subjects with a more common/normal branching pattern.
From a population of severe asthmatics studied at total lung capacity via computed tomography we randomly selected 8 subjects whose Forced Expiratory Volume in 1s, percent predicted fell below 45% predicted. To simulate aerosol motion in the human lungs, we employed in-house three-dimensional eddy-resolving computational fluid dynamics and particle tracking models utilizing 3 of the 8 severe asthmatic subjects. One of the 3 subjects was found to have a distinct, localized airway narrowing chosen for further investigation. In the simulation, we controlled flow rate and luminal area, i.e., Reynolds and Stokes numbers, in each branch of the computed tomography-derived airway skeletons.
We found a distinct enhancement of aerosol deposition associated with the narrowed branches of one subject even when the luminal area was numerically adjusted from its narrowed state to that of a non-asthmatic subject. The branching angle, freed of luminal narrowing persisted in demonstrating a marginally significant increase in local particle deposition compared with the subjects without the initial constriction.
These results demonstrate the possibility that inherent airway structure may influence localized constriction found in severe asthmatics.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>29129332</pmid><doi>10.1016/j.clinbiomech.2017.10.020</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0268-0033 |
ispartof | Clinical biomechanics (Bristol), 2019-06, Vol.66, p.81-87 |
issn | 0268-0033 1879-1271 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5934349 |
source | Elsevier ScienceDirect Journals Complete - AutoHoldings |
subjects | Branching angle Geometric airway model Luminal area Numerical aerosol model Subject-specific |
title | Aerosol deposition predictions in computed tomography-derived skeletons from severe asthmatics: A feasibility study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T14%3A29%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Aerosol%20deposition%20predictions%20in%20computed%20tomography-derived%20skeletons%20from%20severe%20asthmatics:%20A%20feasibility%20study&rft.jtitle=Clinical%20biomechanics%20(Bristol)&rft.au=Miyawaki,%20Shinjiro&rft.date=2019-06-01&rft.volume=66&rft.spage=81&rft.epage=87&rft.pages=81-87&rft.issn=0268-0033&rft.eissn=1879-1271&rft_id=info:doi/10.1016/j.clinbiomech.2017.10.020&rft_dat=%3Cproquest_pubme%3E1963473177%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1963473177&rft_id=info:pmid/29129332&rft_els_id=S0268003317302735&rfr_iscdi=true |