Background: Both positive and negative associations between developmental enamel defects (DED) and dental caries have been reported in the literature.
Objectives: The aim of this study was to assess the prevalence of DED of permanent dentition and its association with dental caries in schoolchildren living in Poznań (Wielkopolskie Voivodeship, Poland).
Material And Methods: A total of 2,522 6th grade children and 3,112 1st grade children were examined. Developmental enamel defects were described using the modified Developmental Defects of Enamel Index. Dental caries experience was assessed in accordance with the number of decayed, missing and filled teeth (DMFT).
Results: The study revealed 475 children (9.6%) to have at least 1 enamel defect of permanent dentition. In 6th-graders, statistical analysis confirmed significant differences between DMFT, DT (decayed teeth) and FT (filled teeth) numbers of various DED groups with subjects affected by diffuse opacities having generally the lowest caries indices and subjects with enamel hypoplasia and/or demarcated opacities having the highest caries indices. In both age groups, dental caries prevalence was statistically significantly higher in subjects with hypoplasia and/or demarcated opacities as compared to subjects without DED or with diffuse opacities (p < 0.05).
Conclusions: The prevalence of DED in the examined population was low and comparable to those reported in regions without fluoridated water. The study confirmed that children affected by diffuse enamel opacities were less susceptible to dental caries, while demarcated opacities and hypoplasia should be considered important dental caries risk factors.
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http://dx.doi.org/10.17219/acem/73794 | DOI Listing |
Indian J Dent Res
October 2024
Department of Pediatric and Preventive Dentistry, Centre for Dental Education and Research, All Indian Institute of Medical Sciences, New Delhi, Delhi, India.
Objective: To evaluate the feasibility of the International Caries Classification and Management System (ICCMS) protocol in a hospital-based setting in India.
Methods: A total of 160 children, 3-6 years old children reporting with dental caries to a hospital-based setting were recruited. Risk-based management of dental caries was conducted and followed for one year as per the modified ICCMS protocol.
Background: Current evidence links poor oral health, especially tooth loss, with impaired cognition. However, role of underlying causes of tooth loss e.g.
View Article and Find Full Text PDFInt J Clin Pediatr Dent
November 2024
Department of Pediatric and Preventive Dentistry, A B Shetty Memorial Institute of Dental Sciences, NITTE (Deemed to be University), Deralakatte, Mangaluru, Karnataka, India.
Background: This case report examines the efficacy of intentional reimplantation (IR) in endodontics and explores the increased interest driven by recent advancements in regenerative techniques.
Case Presentation: A 14-year-old male patient reported pain in the lower left back tooth (tooth #36). The radiographic assessment revealed a 4 mm × 4 mm periapical cyst.
Int J Clin Pediatr Dent
November 2024
Department of Public Health Dentistry, Dr D Y Patil Dental College and Hospital, Dr D Y Patil Vidyapeeth, Pune, Maharashtra, India.
Introduction: Utilizing 38% silver diamine fluoride (SDF) has been demonstrated in clinical trials to prevent and halt early childhood caries (ECC). Based on a research evaluation, it has been found that 38% SDF can effectively prevent new tooth decay and stop existing tooth decay in children's primary teeth.
Objective: This study aimed to assess the survival of teeth treated with repeated applications of 38% SDF in children with ECC and to compare the outcomes between single and multiple applications.
Int 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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