Objectives: The study objective was to evaluate the tooth agenesis in German orthodontic patients with non-syndromic cleft lip and/or palate and Robin sequence compared to a control group without craniofacial disorder.
Materials/methods: A total of 108 panoramic radiographs were examined using the binary system of Tooth Agenesis Code (TAC) (excluding the third molar). Patients were divided into the craniofacial disorder group 1 (n = 43) and the healthy control group 2 (n = 65). Parameters such as skeletal class malformation, sex, localization of the cleft, craniofacial disorder, and interobserver reliability were assessed.
Results: Permanent tooth agenesis was observed in 44% of group 1 and 14% in group 2 with a statistically significant higher prevalence (p = 0.00162 (χ)). Fourteen different TAC patterns were observed in group 1, ten of these occurring only once in separate patients. The distribution of the TAC codes in group 2 showed nine different possibilities of TAC code patterns; seven TACs were unique. In group 1, the most frequently absent teeth were the maxillary lateral incisor of the left side (30%); in group 2, the second premolar of the lower jaw on the right side (9%). Male patients with craniofacial disorder showed a higher percentage of tooth agenesis than female.
Conclusion: The data presented here shows a statistically significant higher prevalence of tooth agenesis in German patients with non-syndromic craniofacial disorder.
Clinical Relevance: Radiographic evaluation enables the diagnosis of tooth agenesis. Recognizing early on the higher prevalence of tooth agenesis in patients exhibiting a craniofacial disorder is an important issue when developing long-term and comprehensive interdisciplinary treatment.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9474355 | PMC |
http://dx.doi.org/10.1007/s00784-022-04538-2 | DOI Listing |
J Clin Exp Dent
December 2024
Associate Professor, Department of Pediatric & Preventive Dentistry, K.S.D. Jain Dental College & Hospital, Kolkata, India.
Hypoglossia is a rare developmental anomaly of tongue. It is usually associated with various syndromes and other anomalies. Most common association of hypoglossia is with limb deformity and these disorders are collectively grouped as Oro Mandibular Limb Hypogenesis (OLHS) Syndrome.
View Article and Find Full Text PDFTher Adv Respir Dis
January 2025
Division of Pulmonary and Sleep Medicine, Department of Pediatrics, University of Washington School of Medicine, Seattle Children's Hospital, 4800 Sand Point Way NE, OC 7.730, Seattle, WA 98105, USA.
Background: Joubert syndrome (JS) is an autosomal recessive disorder with a distinctive mid-hindbrain malformation known as the "molar tooth sign" which involves the breathing control center and its connections with other structures. Literature has reported significant respiratory abnormalities which included hyperpnea interspersed with apneic episodes during wakefulness. Larger-scale studies looking at polysomnographic findings or subjective reports of sleep problems in this population have not yet been published.
View Article and Find Full Text PDFSpec Care Dentist
January 2025
Department of Oral and Maxillofacial Pathology, School of Dentistry, Universidade de Pernambuco, Recife, Pernambuco, Brazil.
Aims: Kallmann syndrome (KS) is a rare genetic disorder characterized by congenital hypogonadotropic hypogonadism and varied clinical features. Despite its recognition, the oral and maxillofacial manifestations remain poorly understood. This study synthesized clinical aspects and management of KS-related oral and maxillofacial alterations.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Pediatric Dentistry Department, Faculty of Dentistry, Başkent University, 06490, Ankara, Turkey.
Background: Hypodontia is the absence of one or more teeth in the primary or permanent dentition during development, and radiographic imaging is the most common method of diagnosis. However, in recent years, artificial intelligence-based decision support systems have been employed to make highly accurate diagnoses. The aim of this study was to classify single premolar agenesis, multiple premolar agenesis, and without tooth agenesis using various artificial intelligence approaches.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!