Evidence map›Paper›PMID 29129332›Full record

ArticleClinical biomechanics (Bristol, Avon)2019

Aerosol deposition predictions in computed tomography-derived skeletons from severe asthmatics: A feasibility study.

Shinjiro Miyawaki, Eric A Hoffman, Sally E Wenzel, Ching-Long Lin

Open access · greenAbstract read
In one paragraph

Article in Clinical biomechanics (Bristol, Avon), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. MultiscaleCurrent opinion in biomedical engineering · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Shinjiro MiyawakiIIHR-Hydroscience & Engineering, The University of Iowa, Iowa City, IA 52242, USA; Currently at CH2M, 1100 NE Circle Blvd., Suite 300, Corvallis, OR 97330, USA.
Eric A HoffmanDepartment of Biomedical Engineering, The University of Iowa, Iowa City, IA 52242, USA; Department of Medicine, The University of Iowa, Iowa City, IA 52242, USA; Department of Radiology, The University of Iowa, Iowa City, IA 52242, USA.
Sally E WenzelDivision of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Ching-Long LinIIHR-Hydroscience & Engineering, The University of Iowa, Iowa City, IA 52242, USA; Department of Radiology, The University of Iowa, Iowa City, IA 52242, USA; Department of Mechanical and Industrial Engineering, The University of Iowa, Iowa City, IA 52242, USA. Electronic address: ching-long-lin@uiowa.edu.
University of Iowa · USUniversity of Pittsburgh · US

Funding

UNIVERSITY OF PITTSBURGH CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTE: BPCAUL1RR024153 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2006 to 2011
$73.9M
Pulmonary Toxicology Facility CoreP30ES005605 · NIEHS · UNIVERSITY OF IOWA · PI Brandi Janssen · 1990 to 2026
$40.5M
Vector Core-Core 2P30DK054759 · NIDDK · UNIVERSITY OF IOWA · PI Alejandro Antonio Pezzulo · 1998 to 2026
$30.5M
Severe Asthma Research ProjectR01HL069174 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WENZEL, SALLY E · 2001 to 2010
$9.2M
Multi-center Structural & Functional Quantitative CT Pulmonary PhenotypingR01HL112986 · NHLBI · UNIVERSITY OF IOWA · PI HOFFMAN, ERIC ALFRED · 2012 to 2016
$4.6M
An integrative statistics-guided image-based multi-scale lung modelU01HL114494 · NHLBI · UNIVERSITY OF IOWA · PI LIN, CHING-LONG · 2013 to 2017
$3.1M
Multiscale Interaction of Pulmonary Gas Flow and Lung Tissue MechanicsR01HL094315 · NHLBI · UNIVERSITY OF IOWA · PI LIN, CHING-LONG · 2010 to 2013
$1.4M
Large-Scale Computing and Visualization for Cardiopulmonary ImagingS10RR022421 · NCRR · UNIVERSITY OF IOWA · PI LIN, CHING-LONG · 2008 to 2008
$474k
NCRR NIH HHS S10 RR022421NCRR NIH HHS UL1 RR024153NHLBI NIH HHS R01 HL069174NHLBI NIH HHS R01 HL094315NHLBI NIH HHS R01 HL112986NHLBI NIH HHS U01 HL114494NIDDK NIH HHS P30 DK054759NIEHS NIH HHS P30 ES005605
6 · The paper itself

Abstract

backgroundThe 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.

methodsFrom 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.

findingsWe 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.

interpretationThese results demonstrate the possibility that inherent airway structure may influence localized constriction found in severe asthmatics.

Indexed as

AerosolsRespiratory Function TestsAdultAsthmaBronchoconstrictionFeasibility StudiesForced Expiratory VolumeHumansHydrodynamicsInfant, NewbornLungModels, AnatomicTomography, X-Ray ComputedYoung AdultAerosolsBranching angleGeometric airway modelLuminal areaNumerical aerosol modelSubject-specific

Identifiers

PMID29129332
PMCPMC5934349
OpenAlexW2766485023

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.