Evidence map›Paper›PMID 32443715›Full record

ArticleInternational journal of environmental research and public health2020

Helium-Oxygen Mixture Model for Particle Transport in CT-Based Upper Airways.

Mohammad S Islam, YuanTong Gu, Arpad Farkas, Gunther Paul, Suvash C Saha

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Heat Wave and Bushfire Meteorology in New South Wales, Australia: Air Quality and Health Impacts.International journal of environmental research and public health · 2022
    Article
  3. Is the SARS CoV-2 Omicron Variant Deadlier and More Transmissible Than Delta Variant?International journal of environmental research and public health · 2022
    Review
  4. Polydisperse Aerosol Transport and Deposition in Upper Airways of Age-Specific Lung.International journal of environmental research and public health · 2021
    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

5 authors at 4 institutions in 2 countries.

Mohammad S IslamSchool of Mechanical and Mechatronic Engineering, University of Technology Sydney (UTS), 15 Broadway, Ultimo, NSW 2007, Australia.ORCID 0000-0001-6264-3886
YuanTong GuSchool of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4001, Australia.
Arpad FarkasCentre for Energy Research, Konkoly-Thege M. Street 29-33, 1121 Budapest, Hungary.
Gunther PaulAustralian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD 4810, Australia.ORCID 0000-0002-1880-9161
Suvash C SahaSchool of Mechanical and Mechatronic Engineering, University of Technology Sydney (UTS), 15 Broadway, Ultimo, NSW 2007, Australia.ORCID 0000-0002-9962-8919
University of Technology Sydney · AUAustralian Institute of Tropical Health and Medicine · AUHUN-REN Centre for Energy Research · HUQueensland University of Technology · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The knowledge of respiratory particle transport in the extra-thoracic pathways is essential for the estimation of lung health-risk and optimization of targeted drug delivery. The published literature reports that a significant fraction of the inhaled aerosol particles are deposited in the upper airways, and available inhalers can deliver only a small amount of drug particles to the deeper airways. To improve the targeted drug delivery efficiency to the lungs, it is important to reduce the drug particle deposition in the upper airways. This study aims to minimize the unwanted aerosol particle deposition in the upper airways by employing a gas mixture model for the aerosol particle transport within the upper airways. A helium-oxygen (heliox) mixture (80% helium and 20% oxygen) model is developed for the airflow and particle transport as the heliox mixture is less dense than air. The mouth-throat and upper airway geometry are extracted from CT-scan images. Finite volume based ANSYS Fluent (19.2) solver is used to simulate the airflow and particle transport in the upper airways. Tecplot software and MATLAB code are employed for the airflow and particle post-processing. The simulation results show that turbulence intensity for heliox breathing is lower than in the case of air-breathing. The less turbulent heliox breathing eventually reduces the deposition efficiency (DE) at the upper airways than the air-breathing. The present study, along with additional patient-specific investigation, could improve the understanding of particle transport in upper airways, which may also increase the efficiency of aerosol drug delivery.

Indexed as

HeliumOxygenAerosolsAir MovementsHumansParticle SizeTomography, X-Ray ComputedAerosolshelioxHeliumOxygenhelium–oxygen mixturemouth–throat modelparticle depositionparticle transporttargeted drug delivery

Identifiers

PMID32443715
PMCPMC7277378
OpenAlexW3028483947

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.