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Deep learning for forensic age estimation using orthopantomograms in children, adolescents, and young adults.
Eur Radiol
January 2025
Department of Radiology, Jena University Hospital-Friedrich Schiller University, Am Klinikum 1, 07747, Jena, Germany.
Objectives: Forensic age estimation from orthopantomograms (OPGs) can be performed more quickly and accurately using convolutional neural networks (CNNs), making them an ideal extension to standard forensic age estimation methods. This study evaluates improvements in forensic age prediction for children, adolescents, and young adults by training a custom CNN from a previous study, using a larger, diverse dataset with a focus on dental growth features.
Methods: 21,814 OPGs from 13,766 individuals aged 1 to under 25 years were utilized.
Investigation of the Effect of Periodontitis on Trabecular Bone Structure by Fractal Analysis.
Cureus
January 2025
Oral and Maxillofacial Radiology, Biruni University, İstanbul, TUR.
Objective: This study aimed to evaluate the trabecular microarchitecture in the interdental region of panoramic radiographs from periodontally healthy individuals and those with stage III/IV periodontitis using fractal analysis (FA), while also assessing the relationship between clinical periodontal parameters and FA outcomes.
Study Design: Clinical and radiographic records of 20 periodontally healthy individuals and 19 individuals with stage III/IV periodontitis were included. Clinical measurements including the plaque score, bleeding on probing, probing pocket depth, and clinical attachment level were recorded.
Classification and prognostic evaluation of ameloblastoma using multiplanar CT imaging: a retrospective analysis.
BMC Oral Health
January 2025
Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, Republic of Korea.
Background: Ameloblastoma is the most prevalent odontogenic tumor of the jaw, with a significant recurrence rate. It was conventionally classified radiographically as unilocular or multilocular. As 3D images become more common, there is a need to reassess this classification.
View Article and Find Full Text PDFScreening ability of dental students to detect osteoporosis on dental panoramic radiographs.
Osteoporos Sarcopenia
December 2024
Department of Oral and Maxillofacial Radiology, Matsumoto Dental University, 1780 Hirooka Gobara, Shiojiri, Nagano, Japan.
Objectives: Postmenopausal women with osteoporosis are frequently underdiagnosed. In Japan, general dental practitioners have begun using the cortical shape of the mandible on dental panoramic radiographs (PRs) to identify and refer women at risk of osteoporosis to medical professionals. It remains unclear whether dental students, after relevant education, possess the ability to identify these at-risk individuals.
View Article and Find Full Text PDFRadiomorphometric indices for measuring mandibular bone quality in oncologic patients.
Oral Radiol
January 2025
Department of Surgery, Stomatology, Pathology, and Radiology, Bauru School of Dentistry, University of São Paulo. Alameda Octávio Pinheiro Brisolla, Bauru 9-75, Bauru, SP, 17012-901, Brazil.
Objective: This retrospective study compared the thickness and degree of resorption of the mandibular cortex in patients with head and neck cancer (AG), patients with cancer at sites other than the head and neck (BG), and patients with no cancer (CG) to describe and compare the changes in the mandible after antineoplastic therapy and their possible clinical implications.
Materials And Methods: A total of 287 panoramic radiographs were examined. The following radiomorphometric indices were analyzed: mental index (MI), panoramic mandibular index (PMI), and mandibular cortical index (MCI).
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