ArticleBMC oral health2025
Exploring the relationship between posture-dependent airway assessment in orthodontics: insights from kinetic MRI, cephalometric data, and three-dimensional MRI analysis.
Article in BMC oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundPrevious studies have assessed the upper airway using various examination methods, such as cephalometric imaging and magnetic resonance imaging (MRI). However, there is a significant gap in the research regarding the relationship between these different imaging modalities. This study compares airway assessments using kinetic MRI and cephalometric scans, examining their correlation with three dimensional (3D) MRI data. MATERIALS AND
methodsKinetic MRI, cephalometric scans, and 3D MRI of forty-seven participants were used in the present study. Airway areas and widths were measured at the retropalatal, retroglossal, and hypopharyngeal levels in both kinetic MRI and cephalometric scans. Airway volumes were calculated from 3D MRI data. Statistical analyses, including the Wilcoxon Signed Rank test, Spearman correlation, and multiple linear regression, were performed to evaluate the data and identify significant differences, correlations, and prediction models, respectively.
resultsSignificant differences were found between kinetic MRI and cephalometric scans. Cephalometric data showed larger airway areas and widths compared to kinetic MRI measurements. Although both cephalometric and kinetic MRI showed a correlation with 3D MRI, kinetic MRI demonstrated stronger correlations with 3D MRI airway volumes than cephalometric scans. According to our linear regression model equations, RPA-Max (maximum retropalatal airway area) and RPA (retropalatal airway area) can elucidate variations in RPV (retropalatal airway volume). RGA-Med (median retroglossal airway area) and RGA-Min (minimum retroglossal airway area) can explain variations in RGV (retroglossal airway volume). HPA (hypopharyngeal airway area) and ULHPAW-Max (maximum upper limit hypopharyngeal airway width) account for variations in HPV (hypopharyngeal airway volume). Additionally, TA-Max (maximum total airway area) can account for variations in TPV (total pharyngeal airway volume).
conclusionBoth cephalometric data and kinetic MRI data showed correlations with 3D MRI data. The shared posture of kinetic MRI and 3D MRI led to stronger correlations between these two modalities. Although cephalometric data had fewer correlations with 3D MRI and predictors for 3D airway volume, they were still significant. Our study highlights the complementary nature of kinetic MRI and cephalometric imaging, as both provide valuable information for airway assessment and exhibit significant correlations with 3D MRI data.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.