Evidence map›Paper›PMID 42087006›Full record

ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2026

Characteristics of pediatric olfactory airflow based on computational fluid dynamics analysis.

Hironobu Nishijima, Takahisa Yamamoto, Kaoru Yamakawa, Roji Kagoya, Kei Ogawa, Rumi Ueha, Kenji Kondo

Abstract read
In one paragraph

Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Hironobu NishijimaDepartment of Otolaryngology, The University of Tokyo, 7-3-1 Hongo Bunkyo-ku, Tokyo, 113-8655, Japan. nishijimahironobu@g.ecc.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0001-9056-9900
Takahisa YamamotoDepartment of Mechanical Engineering, National Institute of Technology, Gifu College, Gifu, Japan.
Kaoru YamakawaDepartment of Otolaryngology, The University of Tokyo, 7-3-1 Hongo Bunkyo-ku, Tokyo, 113-8655, Japan.
Roji KagoyaDepartment of Otolaryngology, The University of Tokyo, 7-3-1 Hongo Bunkyo-ku, Tokyo, 113-8655, Japan.
Kei OgawaDepartment of Otolaryngology, The University of Tokyo, 7-3-1 Hongo Bunkyo-ku, Tokyo, 113-8655, Japan.
Rumi UehaDepartment of Otolaryngology, The University of Tokyo, 7-3-1 Hongo Bunkyo-ku, Tokyo, 113-8655, Japan.
Kenji KondoDepartment of Otolaryngology, The University of Tokyo, 7-3-1 Hongo Bunkyo-ku, Tokyo, 113-8655, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePediatric olfactory development remains poorly understood, particularly regarding how age-related nasal morphological changes influence olfactory airflow dynamics and odorant transport. This study aimed to characterize age-dependent variations in olfactory airflow patterns and odorant distribution within the pediatric nasal cavity using computational fluid dynamics (CFD) analysis.

methodsThree-dimensional nasal cavity models were reconstructed from high-resolution sinus CT scans of 11 pediatric patients (ages 3-18 years) using Mimics Innovation Suite. CFD simulations of inspiratory airflow were performed using OpenFOAM with physiologically scaled, age- and sex-dependent flow rates. Odorant transport was modeled as a dimensionless passive scalar representing an inert, non-reactive tracer gas to analyze concentration dynamics and arrival times at the olfactory mucosa across age groups.

resultsThe olfactory cleft volume and airflow generally followed an upward trend from early childhood until approximately 15 years of age, with more pronounced enlargement observed in late adolescence (15-18 years). Young children (3-6 years) demonstrated markedly reduced olfactory airflow delivery compared to late adolescents (15-18 years). Odorant transport analysis revealed prolonged arrival times and reduced peak concentrations at the olfactory mucosa in younger subjects, indicating that anatomical immaturity constrains olfactory efficiency in early childhood.

conclusionAge-related nasal morphological development substantially influences olfactory airflow dynamics and odorant transport efficiency in children. These computational findings provide mechanistic insights into pediatric olfactory development and may inform clinical assessment strategies for childhood olfactory disorders.

Indexed as

HydrodynamicsNasal CavityOlfactory MucosaSmellAdolescentAge FactorsChildChild, PreschoolComputer SimulationFemaleHumansImaging, Three-DimensionalMaleOdorantsTomography, X-Ray ComputedComputational fluid dynamicsOdor dynamicsOlfactionPediatric olfactory airflow

Identifiers

PMID42087006
PMCPMC13388347

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.