Evidence map›Paper›PMID 38448648›Full record

ArticleScientific reports2024

Validation of computational fluid dynamics models for airway deposition with SPECT data of the same population.

Hosein Sadafi, Navid Monshi Tousi, Wilfried De Backer, Jan De Backer

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Article
  2. Preclinical models of COPD: a state of the art review.The European respiratory journal · 2026
    Review
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  6. Article
  7. Review
  8. Article
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  11. Assessment of ventilation heterogeneity and particle deposition in asthmatics using combined SPECT/CT imaging and computational modeling approaches.European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences · 2025
    Article
  12. Article
  13. Review
  14. Review
  15. Article
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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

4 authors.

Hosein SadafiFluidda N.V., Groeningenlei 132, 2550, Kontich, Belgium. hosein.sadafi@fluidda.com.
Navid Monshi TousiFluidda N.V., Groeningenlei 132, 2550, Kontich, Belgium.
Wilfried De BackerFluidda N.V., Groeningenlei 132, 2550, Kontich, Belgium.
Jan De BackerFluidda Inc., 228 East 45th Street, 9th Floor, Suite 9E, New York, NY, 10017, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study compared computational fluid dynamic (CFD) model predictions on aerosol deposition in six asthmatic patients to the in-vivo results of the same group. Patient-specific ventilation and internal air distribution were prescribed using inspiratory and expiratory CT scans of each patient, accounting for individual lobar air flow distribution. Moreover, the significant influence of realistic mouth and throat geometries on regional deposition is demonstrated. The in-vivo data were obtained from single photon emission computed tomography (SPECT) in 6 subjects with mild asthma selected from a database of historical clinical trials. The governing flow and particle tracking equations were solved numerically using a commercial CFD tool, and the modeled deposition results were compared to the SPECT data. Good agreement was found between the CFD model, applying k-ω SST turbulence model, and SPECT in terms of aerosol deposition. The average difference for the lobar deposition obtained from CFD model and SPECT/CT data was 2.1%. The high level of agreement is due to applying patient specific airway geometries and inspiratory/expiratory CT images, anatomical upper airways, and realistic airway trees. The results of this study show that CFD is a powerful tool to simulate patient-specific deposition if correct boundary conditions are applied and can generate similar information obtained with functional imaging tools, such as SPECT.

Indexed as

AsthmaLarynxHumansHydrodynamicsNoseRespiratory Aerosols and DropletsTomography, Emission-Computed, Single-Photon

Identifiers

PMID38448648
PMCPMC11319804

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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.