Objective: The aim of this study was to assess the orthodontic treatment need and complexity in a major referral orthodontic centre in Lagos, Nigeria.
Method: Pre-treatment dental casts of 150 consecutive patients were assessed using the Index of Complexity, Outcome and Need (ICON).
Results: Fifty-seven (38%) of the population needed orthodontic treatment. Twenty-five (16.7%) cases were classified as difficult or very difficult, 14.7% moderate and 68.6% belonged to the easy/mild categories. The overall mean ICON score was 43 ± 17.8 SD. There were no significant age or gender differences in the pre-treatment ICON score. There was a significant association (p<0.05) between treatment need and social class: more subjects from the lower social class needed orthodontic treatment than subjects from the higher social class.
Conclusions: More than one third of the population had a need for orthodontic treatment, of which close to one fifth were in the difficult to very difficult category. Patients in the lower socio-economic class had greater need for orthodontic treatment than those from the higher class.
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J Craniofac Surg
December 2024
Member of Sociedad Argentina de Ortodoncia, Member of International Society of Craneofacial Surgery, Member of Asociación Latinoamericana de Ortodoncia, Buenos Aires, Argentina.
Craniofacial syndromes present with exorbitism and airway obstruction as a result of upper and middle facial hypoplasia. Classical subcranial Lefort III (LF III) or monobloc distraction osteogenesis (DO) using an external craniofacial device is used to treat these deformities. These procedures are done during mixed dentition, in most cases, advancing an abnormal face, to a more normal position.
View Article and Find Full Text PDFClin Oral Investig
January 2025
Department of Dentistry Section Orthodontics and Craniofacial Biology, Radboud University Medical Center, P.O. Box 9101, Nijmegen, 6500 HB, The Netherlands.
Objectives: For this research two different ways for integrating intra-oral scans into three-dimensional (3D) stereophotogrammetric images are analyzed and compared to the gold standard method.
Materials And Methods: A cross-sectional study was performed. For each patient a complete dataset was collected, which was used to generate 3D fusion models by three different methods: method A using cheek retractors, method B using a tracer and method C using full-skull CBCT.
Clin Adv Periodontics
January 2025
Department of Orthodontics and Dentofacial Orthopedics, Eastman Institute for Oral Health, University of Rochester, Rochester, New York, USA.
Background: Gingival recession defects (GRDs) pose functional and esthetic concerns and may be associated with unfavorable tooth positions. Surgically facilitated orthodontic treatment (SFOT) with clear aligners can be a valuable option for adults with severe malocclusion and GRDs.
Methods: A 28-year-old male presented with severe dental crowding, Class III dental malocclusion, localized tooth crossbites, and tapered maxillary arch.
Cleft Palate Craniofac J
January 2025
Division of Orthodontics, Hospital for Rehabilitation of Craniofacial Anomalies, University of São Paulo, Bauru, Brazil.
This case report presents the multidisciplinary treatment of a male patient with a complex form of frontonasal dysplasia who presented with a 0 to 14 facial cleft, mild hypertelorism, absence of the nasal medial process of the nose, and frontonasal encephalocele. Cranial and plastic surgeries were performed to correct hypertelorism and improve the esthetic appearance of the frontonasal region. In the permanent dentition, the patient presented a Class II, division 1 malocclusion with severe maxillary constriction and bilateral posterior crossbite.
View Article and Find Full Text PDFInt J Clin Pediatr Dent
November 2024
Department of Pediatric and Preventive Dentistry, Yenepoya Dental College, Mangaluru, Karnataka, India.
Aim And Background: The applications of artificial intelligence (AI) are escalating in all frontiers, specifically healthcare. It constitutes the umbrella term for a number of technologies that enable machines to independently solve problems they have not been programmed to address. With its aid, patient management, diagnostics, treatment planning, and interventions can be significantly improved.
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