Evidence map›Paper›PMID 30937568›Full record

ArticleSurgical and radiologic anatomy : SRA2019

Geometric morphometric contribution to septal deviation analysis.

Thomas Radulesco, Djamel Hazbri, Patrick Dessi, Pascal Adalian, Justin Michel

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Surgical and radiologic anatomy : SRA, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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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

5 authors.

Thomas RadulescoDepartment of Oto-Rhino-Laryngology and Head and Neck Surgery, APHM, La Conception University Hospital, 147 Bvd Baille, 13005, Marseille, France. thomas.radulesco@ap-hm.fr.ORCID http://orcid.org/0000-0002-5939-5372
Djamel HazbriDepartment of Oto-Rhino-Laryngology and Head and Neck Surgery, APHM, La Conception University Hospital, 147 Bvd Baille, 13005, Marseille, France.
Patrick DessiDepartment of Oto-Rhino-Laryngology and Head and Neck Surgery, APHM, La Conception University Hospital, 147 Bvd Baille, 13005, Marseille, France.
Pascal AdalianAix Marseille Univ, CNRS, EFS, ADES, Marseille, France.
Justin MichelDepartment of Oto-Rhino-Laryngology and Head and Neck Surgery, APHM, La Conception University Hospital, 147 Bvd Baille, 13005, Marseille, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe nasal septum presents inter-individual conformational variations. The objectives of this study were to establish a validated protocol for nasal septum analysis using geometric morphometrics (GM) to establish a classification of septal deviations (SD).

methodsThis was a retrospective study including two groups of patients: patients operated on by septoplasty (SD group) and patients without nasal obstruction (control group). The 3D segmentation model was extracted from CT scans. Thirty landmarks were defined on the nasal septum and validated by MANOVA Procrustes. Using a clusterization process, the septum was classified to reflect its different conformations. Nasal resistances were compared between the two groups.

resultsFifty scans of patients with SD were included. The percentage of variability due to measurement error was 7.9% across all landmarks. We identified two clusters for the SD group. Using GM, conformation of cluster 1 (S-shaped) and cluster 2 (C-shaped) was visualized and identified. There was a statistically significant difference regarding nasal resistance between each cluster in the SD group compared with the control group (p < 0.05).

conclusionsThis work is a first step in SD exploration, contributing to a clearer appreciation of the interactions between nasal conformation and function. An SD classification was devised based on a reliable and reproducible statistical analysis. Enhanced understanding of conformation/function interactions will improve the diagnosis and treatment of nasal obstruction.

Indexed as

Anatomic VariationAdolescentAdultEndoscopyFemaleHumansImaging, Three-DimensionalMaleMiddle AgedNasal ObstructionNasal SeptumNose Deformities, AcquiredRetrospective StudiesRhinoplastyTomography, X-Ray ComputedYoung AdultClusterGeometric morphometricsLandmarksNasal obstructionNasal septumSeptal deviation

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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.