Purpose: The aim this study was to compare the accuracy of orthodontists and dentomaxillofacial radiologists in identifying 17 commonly used cephalometric landmarks, and to determine the extent of variability associated with each of those landmarks.
Materials And Methods: Twenty digital lateral cephalometric radiographs were evaluated by two groups of dental specialists, and 17 cephalometric landmarks were identified. The x and y coordinates of each landmark were recorded. The mean value for each landmark was considered the best estimate and used as the standard. Variation in measurements of the distance between landmarks and measurements of the angles associated with certain landmarks was also assessed by a subset of two observers, and intraobserver and interobserver agreement were evaluated.
Results: Intraclass correlation coefficients were excellent for intraobserver agreement, but only good for interobserver agreement. The least reliable landmark for orthodontists was the gnathion (Gn) point (standard deviation [SD], 5.92 mm), while the orbitale (Or) was the least reliable landmark (SD, 4.41 mm) for dentomaxillofacial radiologists. Furthermore, the condylion (Co)-Gn plane was the least consistent (SD, 4.43 mm).
Conclusion: We established that some landmarks were not as reproducible as others, both horizontally and vertically. The most consistently identified landmark in both groups was the lower incisor border, while the least reliable points were Co, Gn, Or, and the anterior nasal spine. Overall, a lower level of reproducibility in the identification of cephalometric landmarks was observed among orthodontists.
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http://dx.doi.org/10.5624/isd.2015.45.4.213 | DOI Listing |
BMC Oral Health
January 2025
Faculty of Dentistry, Department of Dentomaxillofacial Radiology, Tokat Gaziosmanpasa University, Tokat, Turkey.
Background: Artificial intelligence (AI) and large language models (LLMs) like ChatGPT have transformed information retrieval, including in healthcare. ChatGPT, trained on diverse datasets, can provide medical advice but faces ethical and accuracy concerns. This study evaluates the accuracy of ChatGPT-3.
View Article and Find Full Text PDFDentomaxillofac Radiol
January 2025
Division of Oral Radiology, Faculdade São Leopoldo Mandic.
Objectives: The aim of this technical report was to assess whether the "Radiological Report" tool within the Artificial Intelligence (AI) software Diagnocat can achieve a satisfactory level of performance comparable to that of experienced dentomaxillofacial radiologists in interpreting cone-beam CT scans.
Methods: Ten cone-beam CT scans were carefully selected and analyzed using the AI tool, and they were also evaluated by two dentomaxillofacial radiologists. Observations related to tooth numeration, alterations in dental crowns, roots, and periodontal tissues were documented and subsequently compared to the AI findings.
BMC Oral Health
January 2025
Oral and Dental Disease Research Center, School of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran.
Background: Molariform second premolar is a rare dental anomaly where the second premolar resembles a molar in size and shape. This condition is often linked to macrodontia, a rare enlargement of teeth that disrupts dental proportions and can manifest in isolated, relative, or generalized forms. Although mandibular second premolars are more prone to morphological variability, the occurrence of bilateral molariform premolars, induced by a unique form of gemination, is exceptionally uncommon and infrequently documented, thus making this case clinically significant.
View Article and Find Full Text PDFDiagnostics (Basel)
November 2024
Department of Dentomaxillofacial Radiology, Faculty of Dentistry, Ankara University, Ankara 06560, Turkey.
This study aimed to investigate the relationship between the mesiobuccal root canal configuration (MB RCC), the interorifice distance (IOD) and the corresponding root and other root lengths of the permanent maxillary first molars; Methods: Cone beam computed tomography (CBCT) images were acquired between 2020 and 2023 for different purposes unrelated to this study. Overall, 1550 CBCT images were retrospectively evaluated. A dentomaxillofacial radiologist with 15 years of experience evaluated the CBCT images and performed the measurements; Results: According to the MB RCC, there was no statistically significant difference between the Vertucci type II and Vertucci type IV groups in terms of the mean age and sex distribution ( = 0.
View Article and Find Full Text PDFClin Oral Investig
November 2024
Faculty of Dentistry, Dentomaxillofacial Radiology Department, Nevşehir Hacı Bektaş Veli University, Nevşehir, Turkey.
Objectives: This study sought to assess the diagnostic value of ultrasonography (USG) and cone-beam computed tomography (CBCT) for the visibility of periodontal defects.
Materials And Methods: We created 37 periodontal defects (dehiscence and fenestration) in fresh sheep mandibles. Two dentomaxillofacial radiologists assessed the CBCT and ultrasonographic images for the presence of defects.
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