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Methods for assessing peri-implant marginal bone levels on digital periapical radiographs: a meta-research.
Dentomaxillofac Radiol
January 2025
Department of Stomatology, Division of Periodontics, School of Dentistry, University of São Paulo, São Paulo, Brazil.
Objectives: This meta-research assessed methodologies used for evaluating peri-implant marginal bone levels on digital periapical radiographs in randomised clinical trials published between 2019 and 2023.
Methods: Articles were searched in four databases. Data on methods for assessing peri-implant marginal bone levels were extracted.
Utility of the radiological report function of an artificial intelligence system in interpreting CBCT images: a technical report.
Dentomaxillofac 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.
Enhancing panoramic dental imaging with AI-driven arch surface fitting: Achieving improved clarity and accuracy through an optimal reconstruction zone.
Dentomaxillofac Radiol
January 2025
Department of Oral and Maxillofacial Radiology, School of Dentistry, Pusan National University, Yangsan, 50612, Korea.
Objectives: This study aimed to develop an automated method for generating clearer, well-aligned panoramic views by creating an optimized three-dimensional (3D) reconstruction zone centered on the teeth. The approach focused on achieving high contrast and clarity in key dental features, including tooth roots, morphology, and periapical lesions, by applying a 3D U-Net deep learning model to generate an arch surface and align the panoramic view.
Methods: This retrospective study analyzed anonymized cone-beam CT (CBCT) scans from 312 patients (mean age 40 years; range 10-78; 41.
Investigation of the effect of thyroid collar, radiation safety glasses and lead apron on radiation dose in cone beam computed tomography.
Dentomaxillofac Radiol
January 2025
Assist. Prof. Dr, Selcuk University Faculty of Medicine, Department of Radiation Oncology, Konya, 42130, Turkiye.
Objectives: Due to the increasing use of cone-beam computed tomography (CBCT) in dentistry and considering the effects of radiation on radiosensitive organs, the aim of this study was to investigate the effect of shielding on absorbed dose of eyes, thyroid and breasts in scans conducted with different parameters using two different fields of view (FOV).
Methods: Dose measurements were calculated on a tissue-equivalent female phantom by repeating each scanning parameter three times and placing at least two thermoluminescent dosimeters (TLD) on each organ, with the averages then taken. The same CBCT scans were performed in two different FOV with shielding including thyroid collar, radiation safety glasses and lead apron and without shielding.
Trajectory of Cognitive Decline Across Different Racial/Ethnic Groups: The Role of Edentulism.
Res Aging
January 2025
Rory Meyers College of Nursing, New York University, New York City, NY, USA.
This study examines whether age-related cognitive decline varies by race/ethnicity and how edentulism moderates these effects. Data from the Health and Retirement Study (2006-2020), including 23,669 respondents aged 51 and above across 189,352 person-wave observations were analyzed. Of all respondents, 13.
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