Evidence map›Paper›PMID 41684997›Full record

ArticleCureus2026

3D Computerised Analysis of Airway Morphology in Subjects From Tamil Nadu: A Pilot Study.

Aravindh Swamy, Thiruppathy Manigandan, Ramalingam Shakila, K Hariniabilasha

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Article 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.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Aravindh SwamyDepartment of Oral Medicine and Radiology, Bharath Institute of Higher Education and Research, Chennai, IND.
Thiruppathy ManigandanDepartment of Oral Medicine and Radiology, Sree Balaji Dental College and Hospital, Bharath Institute of Higher Education and Research, Chennai, IND.
Ramalingam ShakilaDepartment of Oral Medicine and Radiology, Karapaga Vinayaga Institute of Dental Sciences, The Tamil Nadu Dr. M.G.R. Medical University, Padalam, IND.
K HariniabilashaDepartment of Orthodontics and Dentofacial Orthopedics, Karapaga Vinayaga Institute of Dental Sciences, The Tamil Nadu Dr. M.G.R. Medical University, Padalam, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis cross-sectional pilot study aimed to describe and compare age-related variations in airway volume, airway length, smallest airway cross-sectional area, and airway index using a computerised 3D cone-beam computed tomography (CBCT)-based assessment in subjects from the state of Tamil Nadu, India. Age-based comparisons across 11 independent groups were performed to provide descriptive information that may assist in contextualising airway measurements in orthodontic and airway assessment, without implying diagnostic accuracy or causal inference. MATERIALS AND

methodsA total of 110 healthy participants aged between six and 60 years were distributed equally across 11 age groups. Cone-beam CT scans were obtained under standard best-practice acquisition protocols. Intergroup comparisons were performed using one-way analysis of variance (ANOVA), and associations between age and airway parameters were evaluated using bivariate regression analysis, based on a statistical significance threshold of p < 0.05. The four dependent variables analysed were airway volume, airway length, smallest airway cross-sectional area, and airway index.

resultsSignificant age-group differences were observed for airway volume, smallest airway area, and airway index (p < 0.001). Higher values for these parameters were observed in the 21- to 35-year age group, followed by lower values in older age groups. Airway length demonstrated minimal variation across age groups and did not show statistically significant differences (p = 0.058).

conclusionThe findings of this cross-sectional pilot study describe age-associated variations in CBCT-derived airway volume, airway length, smallest airway cross-sectional area, and airway index among participants from Tamil Nadu and highlight potential clinical relevance for orthodontic diagnosis and airway assessment, while acknowledging that causal inferences and definitive normative standards cannot be established.

Indexed as

airway morphologycone-beam computed tomography (cbct)obstructive sleep apneapharyngeal airway volumethree-dimensional imaging

Identifiers

PMID41684997
PMCPMC12892808

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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.