Purpose: This prospective, cross-sectional study examined the sensitivity and specificity of clinical assessment compared to bitewing radiographs in the detection of occlusal dentin caries in permanent molars.
Methods: Subjects were 481 children aged 5-12 years from a school-based dental clinic. Occlusal surfaces of 1929, sealed and unsealed first and second permanent molars were examined clinically and scored using specific criteria. Teeth with any type of restorations or proximal caries, including preventive resin restorations, were excluded from the study. Bitewing radiographs were exposed within 4 weeks of clinical examination and were assessed for dentin radiolucencies beneath the occlusal surface. The results of the clinical examinations were correlated with those of bitewing radiographs. Information provided by the parents on history forms, including systemic fluoride exposure, was also noted.
Results: Of the 1833 teeth scored as clinically sound in the study, only 72 (4%) demonstrated a dentin radiolucency on bitewings, and 1761 (96%) were scored as sound. The sensitivity of the clinical examination was determined to be 0.96. In the teeth clinically scored as showing dentin caries, only 56/96 (58%) were found to have dentin radiolucencies on the radiographs. The specificity of the technique was determined to be 0.58. A positive history of a medical condition, or fluoride exposure, in the forms of toothpaste use, or water fluoridation did not affect the examination results.
Conclusions: Clinical examination of cleaned and dried, sealed, and unsealed teeth has a sensitivity of 0.96 and a specificity of 0.58 in the detection of dentin radiolucencies in bitewing radiographs. Dentin radiolucencies beneath clinically sound occlusal surfaces are not significantly associated with gender, medical conditions or fluoride.
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Children (Basel)
November 2024
Department of Pediatric Dentistry, Faculty of Dental Medicine, Hebrew University, Hadassah Medical Center, P.O. Box 12272, Jerusalem 91120, Israel.
Objectives: The present prospective study aimed to compare near-infrared light reflection (NIRI) and bitewing radiographs (BWR) images to detect proximal caries in primary teeth.
Methods: 71 children underwent routine BWR, and scans were performed using an intra-oral scanner (iTero Element 5D, Align Technology, Tempe, AZ, USA), including a near-infrared light source (850 nm) and sensor. Five specialist pediatric dentists examined the NIRI and BWR images.
Braz Dent J
December 2024
Graduate Program in Dentistry, Dental School, Federal University of Pelotas, Pelotas, Brazil.
The combination of different methods has been advocated to increase sensitivity in detecting secondary caries lesions. This cross-sectional study compared the detection of caries lesions around posterior restorations and treatment decisions using bitewing radiographs alone or in combination with clinical information from patient records. The radiographs (n = 212) were randomly distributed into two sequences for assessment across two phases, with a wash-out period of two weeks.
View Article and Find Full Text PDFCureus
November 2024
Pediatric Dentistry, Security Forces Hospital, Mecca, SAU.
Odontomas are the most prevalent odontogenic tumors, often classified as hamartomas due to their slow growth and non-aggressive nature. Typically asymptomatic, they can obstruct the eruption of adjacent teeth. While the exact causes of odontomas remain unclear, potential factors include local trauma, infection, growth pressure, and hereditary influences.
View Article and Find Full Text PDFDentomaxillofac Radiol
November 2024
Department of Oral and Maxillofacial Radiology, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices& Beijing Key Laboratory of Digital Stomatology & NHC Key Laboratory of Digital Stomatology & NMPA Key Laboratory for Dental Materials, Beijing, China.
Clin Exp Dent Res
December 2024
Melbourne Dental School, The University of Melbourne, Carlton, Victoria, Australia.
Objectives: Artificial intelligence (AI) is an emerging field in dentistry. AI is gradually being integrated into dentistry to improve clinical dental practice. The aims of this scoping review were to investigate the application of AI in image analysis for decision-making in clinical dentistry and identify trends and research gaps in the current literature.
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