Evidence map›Paper›PMID 41531442›Full record

ReviewCureus2026

Computational Fluid Dynamics and Virtual Septoplasty in Nasal Airway Obstruction: A Narrative Review.

Ian T Braithwaite, Amelia Jones, Claire Doherty, Dave K Sharma

Abstract readReview
In one paragraph

Review in Cureus, 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

4 authors.

Ian T BraithwaiteOtolaryngology, Royal London Hospital, Barts Health NHS Trust, London, GBR.
Amelia JonesOtolaryngology, Royal London Hospital, Barts Health NHS Trust, London, GBR.
Claire DohertyOtolaryngology, Royal London Hospital, Barts Health NHS Trust, London, GBR.
Dave K SharmaOtolaryngology, Royal London Hospital, Barts Health NHS Trust, London, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nasal airway obstruction (NAO) is a common symptom with a substantial impact on quality of life. Septoplasty is frequently performed, yet outcomes remain variable and may decline over time. Computational fluid dynamics (CFD) enables patient-specific simulation of nasal airflow. Virtual septoplasty builds on this by allowing preoperative anatomical models to be digitally modified, with CFD used to estimate the functional impact of proposed surgical changes. This narrative review synthesises the contemporary CFD evidence base relevant to septoplasty and, to our knowledge, provides the first synthesis of the virtual septoplasty literature. A focused narrative review was undertaken. Database searches up to November 2025 were screened for relevance. Structured data extraction was performed for eligible studies, followed by full-text review, independent assessment by two reviewers, and narrative synthesis. CFD provides a detailed simulation of individualised nasal airflow but must be interpreted in the context of known limitations and modelling assumptions. Across studies, CFD metrics show stronger correlation with validated symptom scores than resistance measures, although reported correlations vary and are influenced by nasal cycle control and methodological heterogeneity. Virtual septoplasty studies demonstrate that digitally edited models can reproduce the direction and approximate magnitude of postoperative changes in airflow-related metrics, but evidence remains limited by small cohorts and limited comparison to validated symptom scores. CFD and virtual septoplasty represent promising technologies for individualised assessment and surgical planning. Wider adoption will require standardised modelling workflows, validated symptom-based endpoints, and prospective evidence demonstrating improved outcomes over current clinical practice.

Indexed as

computational fluid dynamicsnasal airflownasal airway obstructionseptoplastyvirtual septoplasty

Identifiers

PMID41531442
PMCPMC12791179

What OpenQuestion holds

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LicenceCC BY
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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.