Evidence map›Paper›PMID 30444909›Full record

ArticlePloS one2018

Sensitivity of nasal airflow variables computed via computational fluid dynamics to the computed tomography segmentation threshold.

Giancarlo B Cherobin, Richard L Voegels, Eloisa M M S Gebrim, Guilherme J M Garcia

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.7field-weighted citation impact, top 5% 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, 46 citations in OpenAlex.

  1. Article
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  6. Effects of Mucosal Decongestion on Nasal Aerodynamics: A Pilot Study.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2024
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  7. Article
  8. Review
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  11. [Application of 3D printed nasal vestibular support in the treatment of anterior nostril stenosis].Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery · 2022
    Article
  12. Article
  13. The impact of shape uncertainty on aortic-valve pressure-drop computations.International journal for numerical methods in biomedical engineering · 2021
    Article
  14. Article
  15. Article
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  18. Article
  19. Normative ranges of nasal airflow variables in healthy adults.International journal of computer assisted radiology and surgery · 2020
    Article
  20. 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 3 institutions in 2 countries.

Giancarlo B CherobinDepartment of Ophtalmology and Otorhinolaryngology, Universidade de São Paulo, São Paulo, Brazil.
Richard L VoegelsDepartment of Ophtalmology and Otorhinolaryngology, Universidade de São Paulo, São Paulo, Brazil.
Eloisa M M S GebrimDepartment of Radiology, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Guilherme J M GarciaDepartment of Biomedical Engineering, Marquette University & The Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.
Universidade de São Paulo · BRHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRMarquette University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational fluid dynamics (CFD) allows quantitative assessment of transport phenomena in the human nasal cavity, including heat exchange, moisture transport, odorant uptake in the olfactory cleft, and regional delivery of pharmaceutical aerosols. The first step when applying CFD to investigate nasal airflow is to create a 3-dimensional reconstruction of the nasal anatomy from computed tomography (CT) scans or magnetic resonance images (MRI). However, a method to identify the exact location of the air-tissue boundary from CT scans or MRI is currently lacking. This introduces some uncertainty in the nasal cavity geometry. The radiodensity threshold for segmentation of the nasal airways has received little attention in the CFD literature. The goal of this study is to quantify how uncertainty in the segmentation threshold impacts CFD simulations of transport phenomena in the human nasal cavity. Three patients with nasal airway obstruction were included in the analysis. Pre-surgery CT scans were obtained after mucosal decongestion with oxymetazoline. For each patient, the nasal anatomy was reconstructed using three different thresholds in Hounsfield units (-800HU, -550HU, and -300HU). Our results demonstrate that some CFD variables (pressure drop, flowrate, airflow resistance) and anatomic variables (airspace cross-sectional area and volume) are strongly dependent on the segmentation threshold, while other CFD variables (intranasal flow distribution, surface area) are less sensitive to the segmentation threshold. These findings suggest that identification of an optimal threshold for segmentation of the nasal airway from CT scans will be important for good agreement between in vivo measurements and patient-specific CFD simulations of transport phenomena in the nasal cavity, particularly for processes sensitive to the transnasal pressure drop. We recommend that future CFD studies should always report the segmentation threshold used to reconstruct the nasal anatomy.

Indexed as

HydrodynamicsAdultComputer SimulationFemaleHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedModels, AnatomicNasal CavityNasal ObstructionRespiratory MechanicsTomography, X-Ray Computed

Identifiers

PMID30444909
PMCPMC6239298
OpenAlexW2901532089

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Registered trials

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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.