DENTOMAXILLOFACIAL RADIOLOGY

Scope & Guideline

Bridging Clinical Practice with Innovative Imaging

Introduction

Immerse yourself in the scholarly insights of DENTOMAXILLOFACIAL RADIOLOGY with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN0250-832x
PublisherBRITISH INST RADIOLOGY
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1972 to 1973, from 1976 to 2024
AbbreviationDENTOMAXILLOFAC RAD / Dentomaxillofac. Radiol.
Frequency8 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address48-50 ST JOHN ST, LONDON EC1M 4DG, ENGLAND

Aims and Scopes

The journal 'Dentomaxillofacial Radiology' aims to advance the field of radiology specifically related to the dentomaxillofacial region. It encompasses a broad range of research topics integrating advanced imaging techniques, artificial intelligence, and clinical applications to improve diagnostic accuracy and patient outcomes.
  1. Innovative Imaging Techniques:
    Focus on the development and evaluation of advanced imaging modalities such as Cone Beam Computed Tomography (CBCT), magnetic resonance imaging (MRI), and their applications in diagnosing various dental and maxillofacial conditions.
  2. Artificial Intelligence and Machine Learning:
    Integration of AI and machine learning methodologies to enhance image analysis, automate detection, and improve diagnostic accuracy in dentomaxillofacial radiology.
  3. Clinical Applications and Outcomes:
    Research on clinical implications of imaging techniques in dental practice, including treatment planning, surgical outcomes, and patient management.
  4. Radiation Safety and Dose Management:
    Investigation into radiation exposure levels, dose optimization strategies, and safety protocols associated with different imaging techniques.
  5. Radiomics and Texture Analysis:
    Exploration of radiomics and texture analysis for improved characterization of lesions and conditions, facilitating more precise diagnoses.
Recent publications in 'Dentomaxillofacial Radiology' indicate several emerging trends and themes that reflect the evolving landscape of research in this field. These trends signify a growing interest in integrating technology with clinical practice.
  1. Deep Learning and AI Applications:
    A significant increase in studies utilizing deep learning algorithms for image analysis, detection, and classification tasks, showcasing the potential of AI to revolutionize diagnostic processes.
  2. Radiomics and Predictive Modeling:
    Emerging interest in radiomics, where detailed quantitative features from imaging are analyzed to predict disease outcomes and treatment responses, indicating a shift towards personalized medicine.
  3. Multimodal Imaging Approaches:
    Growing trend towards combining different imaging modalities (e.g., CBCT with MRI or PET-CT) to enhance diagnostic accuracy and provide comprehensive assessments of complex conditions.
  4. Patient-Centric Research:
    Increased focus on research that emphasizes patient outcomes, satisfaction, and safety in the context of imaging, reflecting a broader trend towards patient-centered healthcare.
  5. Minimally Invasive Techniques:
    Emerging interest in imaging techniques that support minimally invasive procedures, particularly in surgical planning and assessment of treatment efficacy, aligning with modern surgical philosophies.

Declining or Waning

While 'Dentomaxillofacial Radiology' continues to thrive in various areas of research, some themes appear to be declining in prominence. This may reflect changes in technology, clinical practices, or shifts in research interests.
  1. Traditional Radiography Techniques:
    There is a noticeable decrease in papers focusing solely on conventional radiographic techniques as the field shifts towards more advanced imaging modalities that provide enhanced diagnostic capabilities.
  2. Basic Diagnostic Studies:
    Research centered around basic diagnostic studies without the integration of advanced technologies or AI is becoming less frequent, indicating a shift towards more sophisticated and technology-driven approaches.
  3. Non-quantitative Studies:
    There seems to be a decline in non-quantitative observational studies, as the emphasis moves towards quantitative and data-driven research methodologies that provide measurable outcomes.

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