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Craniofacial and Airway Morphology in Down Syndrome: A Cone Beam Computed Tomography Case Series Evaluation

Authors :
Sonam Khurana
Ayman R. Khalifa
Nader N. Rezallah
Scott Lozanoff
Ahmed Z. Abdelkarim
Source :
Journal of Clinical Medicine, Vol 13, Iss 13, p 3908 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Background: Down syndrome (DS) is a genetic condition characterized by an extra copy of chromosome 21, resulting in various physical and cognitive features. This study aimed to comprehensively analyze the dental and craniofacial morphology of individuals with DS using Cone Beam Computed Tomography (CBCT). Methods: Six individuals with DS, comprising five males and one female aged 17 to 35 years, underwent CBCT scanning. Radiographic assessments included dentition, occlusion, paranasal sinuses, airway, skull bones, and suture calcification. Linear and angular cephalometric measurements were performed, and airway analysis was conducted using Dolphin 3D imaging software v.11. Results: The study revealed prognathic maxilla in five patients, prognathic mandible in four, and bimaxillary protrusion in two. Dental findings included microdontia, enamel hypoplasia, and congenitally missing teeth, with maxillary and mandibular third molars most commonly absent. Sinus abnormalities, delayed suture closure, and cervical spine anomalies were also observed. Conclusion: These findings contribute to a deeper understanding of DS-related craniofacial characteristics and emphasize the importance of considering these morphometric features in clinical management strategies for individuals with DS. This study’s limited sample size underscores the significance of radiographic assessment in planning interventions such as cosmetic reconstructions, prosthetic rehabilitation, or orthodontic treatment for individuals with DS.

Details

Language :
English
ISSN :
20770383
Volume :
13
Issue :
13
Database :
Directory of Open Access Journals
Journal :
Journal of Clinical Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.8ab2d7dba9e45378f487dd1b05cff8a
Document Type :
article
Full Text :
https://doi.org/10.3390/jcm13133908