Advances in the Diagnosis of Oral and Maxillofacial Disease
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Pathology and Molecular Diagnostics".
Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 12474
Special Issue Editor
Interests: temporomandibular joint; immunohistochemistry; inflammation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The forthcoming Special Issue of the journal Diagnostics, titled "Advances in the Diagnosis of Oral and Maxillofacial Disease", will present cutting-edge developments in the field of diagnosing conditions affecting the mouth, jaw, and related structures. This comprehensive collection of articles will delve into the latest advancements in diagnostic techniques, technologies, and methodologies, aiming to enhance early detection, accurate diagnosis, and effective management of oral and maxillofacial diseases.
The contributions within this edition will explore various aspects of diagnostic modalities, including advanced radiology techniques such as cone-beam computed tomography (CBCT) and magnetic resonance imaging (MRI), which will offer detailed anatomical information for precise diagnosis and treatment planning. Additionally, the authors will discuss the application of optical imaging and diagnostic tools, providing insights into non-invasive methods for detecting early signs of disease and monitoring treatment responses.
Pathology and biopsy techniques will also be discussed, highlighting the role of histopathological analysis in confirming diagnoses and guiding therapeutic interventions. Furthermore, the integration of molecular diagnostics and medical screening protocols will be explored, showcasing the potential of genetic and molecular markers in early disease detection and personalized treatment approaches.
This Special Issue will also address prognostic assessment and the identification of biomarkers associated with disease progression and treatment response. By synthesizing the latest research findings and clinical insights across these diverse diagnostic modalities, this edition will serve as a valuable resource for clinicians, researchers, and healthcare professionals involved in the diagnosis and management of oral and maxillofacial diseases. Ultimately, these advancements will contribute to improved patient care, treatment outcomes, and quality of life.
Dr. Luis Eduardo Almeida
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- maxillofacial disease
- oral disease
- biomarkers
- prognosis
- periodontal disease
- machine learning
- MRI
- CBCT
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