Evidence map›Paper›PMID 34024935›Full record

ArticleJournal of aerosol science2021

Efficient bi-directional coupling of 3D Computational Fluid-Particle Dynamics and 1D Multiple Path Particle Dosimetry lung models for multiscale modeling of aerosol dosimetry.

A P Kuprat, M Jalali, T Jan, R A Corley, B Asgharian, O Price, R K Singh, S Colby, C Darquenne

Open access · greenAbstract read
In one paragraph

Article in Journal of aerosol science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Guidelines for assessing maternal cardiovascular physiology during pregnancy and postpartum.American journal of physiology. Heart and circulatory physiology · 2024
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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

9 authors at 3 institutions in 1 country.

A P KupratPacific Northwest National Laboratory, Richland, WA, USA.
M JalaliDepartment of Medicine, University of California, San Diego, CA, USA.
T JanDepartment of Medicine, University of California, San Diego, CA, USA.
R A CorleyPacific Northwest National Laboratory, Richland, WA, USA.
B AsgharianApplied Research Associates, Arlington Division, Raleigh, NC, USA.
O PriceApplied Research Associates, Arlington Division, Raleigh, NC, USA.
R K SinghPacific Northwest National Laboratory, Richland, WA, USA.
S ColbyPacific Northwest National Laboratory, Richland, WA, USA.
C DarquenneDepartment of Medicine, University of California, San Diego, CA, USA.
Pacific Northwest National Laboratory · USUniversity of California, San Diego · USApplied Research Associates (United States) · US

Funding

3D IMAGING &COMPUTER MODEL OF THE RESPIRATORY TRACTR01HL073598 · NHLBI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI CORLEY, RICHARD A · 2004 to 2014
$17.6M
Multiscale Modeling of Lung Disease-Influenced Aerosol DosimetryU01ES028669 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DARQUENNE, CHANTAL · 2018 to 2022
$3.3M
NHLBI NIH HHS R01 HL073598NIEHS NIH HHS U01 ES028669
6 · The paper itself

Abstract

The development of predictive aerosol dosimetry models has been a major focus of environmental toxicology and pharmaceutical health research for decades. One-dimensional (1D) models successfully predict overall deposition averages but fail to accurately predict local deposition. Computational fluid-particle dynamics (CFPD) models provide site-specific predictions but at a computational cost that prohibits whole lung predictions. Thus, there is a need for developing multiscale strategies to provide a realistic subject-specific picture of the fate of inhaled aerosol in the lungs. CT-based 3D/CFPD models of the large airways were bidirectionally coupled with individualized 1D Navier-Stokes airflow and particle transport based upon the widely used Multiple Path Particle Dosimetry Model (MPPD). Distribution of airflows among lobes was adjusted by measured lobar volume changes observed in CT images between FRC and FRC + 1.5 L. As a test of the effectiveness of the coupling procedures, deposition modeling of previous 1 μm aerosol exposure studies was performed. The complete coupled model was run for 3 breaths, with the computation-intense portion being the 3D CFPD Lagrangian particle tracking calculation. The average deposition per breath was 11% in the combined multiscale model with site-specific doses available in the CFPD portion of the model and airway- or region-specific deposition available for the MPPD portion. In conclusion, the key methods developed in this study enable predictions of ventilation heterogeneities and aerosol deposition across the lungs that are not captured by 3D or 1D models alone. These methods can be used as the foundation for multi-scale modeling of the full respiratory system.

Indexed as

Aerosol depositionlung airwaysMPPDsubject-specific modeling

Identifiers

PMID34024935
PMCPMC8136587
OpenAlexW3049615794

What OpenQuestion holds

Textmetadata
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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.