Aim: To analyze the differences between novice and expert orthodontists examining panoramic radiographs with incidental findings of varying difficulty. The null hypothesis states no difference in the examination pattern of panoramic radiographs between novice and expert orthodontists.
Materials And Methods: Expert and novice orthodontic observers were asked to examine six panoramic radiographs with incidental findings of varying difficulty. The eye-tracking software recorded and analyzed their eye movements during the examination. After examining each radiograph, the observers were asked questions about the radiograph. All these collected data were analyzed to compare the performance of the two sets of observers.
Results: The total number of observers was 72 in the novice group and 64 in the expert group. There was only one statistically significant finding between the two groups of observers, which was the end time. Expert orthodontists recorded longer panoramic radiograph examination times.
Conclusion: There is no significant difference in the abilities of expert and novice orthodontists to examine panoramic radiographs and identify incidental findings.
Clinical Significance: Orthodontists might benefit from additional education and continued training in examining and reporting radiographs commonly utilized by this specific group of dental specialists, such as panoramic and cephalometric radiographs.
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J Forensic Odontostomatol
December 2024
Faculty of Dentistry, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
This study aims to compare the accuracy of Demirjian's and Cameriere's methods in determining adult age at the 18-year threshold using mandibular third molars in the Thai population. Panoramic radiograph images of 504 healthy subjects aged between 14 and 23 years were retrospectively collected. The developmental stages of mandibular third molars were evaluated using Demirjian's method, while the maturity index of mandibular third molars (I3M) was assessed using Cameriere's method.
View Article and Find Full Text PDFJ Forensic Odontostomatol
December 2024
Department of Oral and Maxillofacial Radiology, School of Dentistry, Shiraz University of Medical Sciences, Shiraz, Iran.
The life-altering effects of criminal trials necessitate providing reliable methods to distinguish adults (≥18) from minors (< 18). The present study aims to evaluate the accuracy of the third molar maturity index (I3M) introduced by Cameriere et al. (2008) in distinguishing adults from minors in the Iranian population.
View Article and Find Full Text PDFBMC 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 PDFBMC Oral Health
January 2025
Department of Oral Implantology, School and Hospital of Stomatology, Guangdong Engineering Research Center of Oral Restoration and Reconstruction & Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangzhou Medical University, Guangzhou, 510182, China.
Background: Fibrous dysplasia (FD) is a self-limiting benign disease with slow progression in which the normal bone is replaced by dysplastic fibrous tissue. The craniofacial skeleton is one of the most commonly affected areas, and it can create unique challenges in dental implant therapy. This case aims to report an unusual presentation of FD localized in the alveolar crest bone of the edentulous site, causing special obstacles to implant placement, and provide a diagnostic and treatment process that may be referenced.
View Article and Find Full Text PDFSci Rep
January 2025
The University of New South Wales, Sydney, Australia.
Detection and teeth segmentation from X-rays, aiding healthcare professionals in accurately determining the shape and growth trends of teeth. However, small dataset sizes due to patient privacy, high noise, and blurred boundaries between periodontal tissue and teeth pose challenges to the models' transportability and generalizability, making them prone to overfitting. To address these issues, we propose a novel model, named Grouped Attention and Cross-Layer Fusion Network (GCNet).
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