Oral and Maxillofacial Radiology: Clinical Progress and New Directions

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Nuclear Medicine & Radiology".

Deadline for manuscript submissions: 15 August 2025 | Viewed by 161

Special Issue Editors


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Guest Editor
Faculty of Medicine, Bydgoszcz University of Science and Technology, Kaliskiego 7, 85-796 Bydgoszcz, Poland
Interests: diagnostic imaging; AI; MRI; dual-energy computed tomography; cardiovascular imaging

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Guest Editor Assistant
Department of Radiology and Diagnostic Imaging, Collegium Medicum, Nicolaus Copernicus University in Torun, 85-067 Bydgoszcz, Poland
Interests: AI; dental imaging; diagnostic imaging; orthodontics; CBCT; dual energy computed tomography

Special Issue Information

Dear Colleagues,

This Special Issue, “Oral and Maxillofacial Radiology: Clinical Progress and New Directions”, aims to highlight the latest advancements and emerging trends in imaging technologies, focusing on the integration of artificial intelligence (AI) and computer-assisted diagnosis (CAD). With the rapid evolution of imaging modalities such as cone beam computed tomography (CBCT), computed tomography (CT), magnetic resonance (MR), and PET-CT, as well as the application of convolutional neural networks (CNNs), the field is poised to revolutionize diagnostic precision and clinical workflows.

Key challenges to be addressed include enhancing diagnostic accuracy, optimizing imaging protocols for improved patient outcomes, and overcoming barriers to the implementation of AI-driven technologies. This Special Issue seeks contributions that explore novel methodologies, validate AI and CAD systems, or propose innovative applications of advanced imaging techniques in oral and maxillofacial radiology.

By mobilizing experts in radiology, AI, and clinical practice, this issue aims to foster interdisciplinary collaboration, drive the translation of cutting-edge research into clinical practice, and shape the future of diagnostics and treatment planning in oral and maxillofacial health care. We welcome original research and reviews that align with these objectives.

Prof. Dr. Zbigniew Serafin
Guest Editor

Dr. Wojciech Kazimierczak
Guest Editor Assistant

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Keywords

  • artificial intelligence (AI)
  • computed-assisted diagnosis (CAD)
  • cone beam computed tomography (CBCT)
  • convolutional neural network (CNN)
  • computed tomography (CT)
  • magnetic resonance (MR)
  • PET-CT

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Published Papers (1 paper)

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Research

9 pages, 1209 KiB  
Article
Radiological Evaluation of Retained Primary Molars in Adolescents with Mandibular Second Premolar Agenesis
by Dita Meistere, Aleksandra Karkle, Sindija Mengele, Liga Kronina and Laura Neimane
J. Clin. Med. 2025, 14(9), 3241; https://doi.org/10.3390/jcm14093241 - 7 May 2025
Viewed by 28
Abstract
Objectives: We aimed to evaluate the condition of retained primary molars in case of mandibular second premolar agenesis. Materials and Methods: In total, 2692 panoramic radiographs of adolescent patients were analyzed to determine the prevalence of tooth agenesis. Patients (N = [...] Read more.
Objectives: We aimed to evaluate the condition of retained primary molars in case of mandibular second premolar agenesis. Materials and Methods: In total, 2692 panoramic radiographs of adolescent patients were analyzed to determine the prevalence of tooth agenesis. Patients (N = 156) with at least one mandibular second premolar agenesis were further explored to determine the presence and condition of retained primary teeth. Teeth were classified as good or poor based on root resorption, infraocclusion, caries, and restorations. Results: The prevalence of mandibular second premolar agenesis was 5.8% (N = 156). For the set period for this study, 138 (58.5%) primary molars were present. Out of these retained teeth, N = 83 were in good condition. There was a statistically significant positive weak correlation between age and the level of root resorption (rs = 0.348, n = 138, p < 0.001). There was no association between infraocclusion and the level of root resorption (p = 0.747). Signs of infraocclusion were noted in 32 out of 138 teeth. There was no association between gender and the presence of infraocclusion (p = 0.067) and the presence or lack of infraocclusion and the therapeutic status of a tooth (p = 0.450). Only 28 out of 138 (20.3%) were intact. There was a significant difference in the level of root resorption between restored and/or carious (median = 3, IQR 2–4) and intact teeth (median = 2, IQR 1.75–3), U = 1168, p = 0.044, r = 0.242. Conclusions: Overall, 35.2% of corresponding primary molars were present in oral cavity, and were in good condition, and could potentially be preserved in the long term. Full article
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