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Diagnostics
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Advances in the Diagnosis of Oral and Maxillofacial Disease
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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: 31 October 2024 | Viewed by 1550

Special Issue Editor

Dr. Luis Eduardo Almeida

E-Mail Website
Guest Editor
School of Dentistry, Marquette University, Milwaukee, WI, USA
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

Published Papers (3 papers)

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Research

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14 pages, 2236 KiB  
Article
In Vivo Regulation of Active Matrix Metalloproteinase-8 (aMMP-8) in Periodontitis: From Transcriptomics to Real-Time Online Diagnostics and Treatment Monitoring
by Nur Rahman Ahmad Seno Aji, Tülay Yucel-Lindberg, Ismo T. Räisänen, Heidi Kuula, Mikko T. Nieminen, Maelíosa T. C. Mc Crudden, Dyah Listyarifah, Anna Lundmark, Fionnuala T. Lundy, Shipra Gupta and Timo Sorsa
Diagnostics 2024, 14(10), 1011; https://doi.org/10.3390/diagnostics14101011 - 15 May 2024
Viewed by 515
Abstract
Background: This study investigated in vivo regulation and levels of active matrix metalloproteinase-8 (aMMP-8), a major collagenolytic protease, in periodontitis. Methods: Twenty-seven adults with chronic periodontitis (CP) and 30 periodontally healthy controls (HC) were enrolled in immunohistochemistry and transcriptomics analytics in order to [...] Read more.
Background: This study investigated in vivo regulation and levels of active matrix metalloproteinase-8 (aMMP-8), a major collagenolytic protease, in periodontitis. Methods: Twenty-seven adults with chronic periodontitis (CP) and 30 periodontally healthy controls (HC) were enrolled in immunohistochemistry and transcriptomics analytics in order to assess Treponema denticola (Td) dentilisin and MMP-8 immunoexpression, mRNA expression of MMP-8 and its regulators (IL-1β, MMP-2, MMP-7, TIMP-1). Furthermore, the periodontal anti-infective treatment effect was monitored by four different MMP-8 assays (aMMP-8-IFMA, aMMP-8-Oralyzer, MMP-8-activity [RFU/minute], and total MMP-8 by ELISA) among 12 CP (compared to 25 HC). Results: Immunohistochemistry revealed significantly more Td-dentilisin and MMP-8 immunoreactivities in CP vs. HC. Transcriptomics revealed significantly elevated IL-1β and MMP-7 RNA expressions, and MMP-2 RNA was slightly reduced. No significant differences were recorded in the relatively low or barely detectable levels of MMP-8 mRNAs. Periodontal treatment significantly decreased all MMP-8 assay levels accompanied by the assessed clinical indices (periodontal probing depths, bleeding-on-probing, and visual plaque levels). However, active but not total MMP-8 levels persisted higher in CP than in periodontally healthy controls. Conclusion: In periodontal health, there are low aMMP-8 levels. The presence of Td-dentilisin in CP gingivae is associated with elevated aMMP-8 levels, potentially contributing to a higher risk of active periodontal tissue collagenolysis and progression of periodontitis. This can be detected by aMMP-8-specific assays and online/real-time aMMP-8 chair-side testing. Full article
(This article belongs to the Special Issue Advances in the Diagnosis of Oral and Maxillofacial Disease)
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13 pages, 3085 KiB  
Article
Frequency and Demographic Analysis of Odontogenic Tumors in Three Tertiary Institutions: An 11-Year Retrospective Study
by Asma Almazyad, Mohammed Alamro, Nasser Almadan, Marzouq Almutairi and Turki S. AlQuwayz
Diagnostics 2024, 14(9), 910; https://doi.org/10.3390/diagnostics14090910 - 26 Apr 2024
Viewed by 572
Abstract
Odontogenic tumors (OTs) are distinct conditions that develop in the jawbones, exhibiting diverse histopathological features and variable clinical behaviors. Unfortunately, the literature on this subject in Saudi Arabia remains sparse, indicating a pressing need for more comprehensive data concerning the frequency, demographics, treatment [...] Read more.
Odontogenic tumors (OTs) are distinct conditions that develop in the jawbones, exhibiting diverse histopathological features and variable clinical behaviors. Unfortunately, the literature on this subject in Saudi Arabia remains sparse, indicating a pressing need for more comprehensive data concerning the frequency, demographics, treatment modalities, and outcomes of OTs. Objectives: The study aims to evaluate the frequency, demographic features, treatment, and outcomes of OTs across three tertiary medical centers. Methods and Material: OT cases were identified in King Abdulaziz Medical City (KAMC), King Fahad Medical City (KFMC), and Prince Sultan Military Medical City (PSMMC) from January 2010 to December 2021. Results: Ninety-two OT cases were identified from the anatomical pathology laboratories of three tertiary hospitals. KFMC contributed the highest number of cases (43.5%), followed by KAMC (30.4%) and PSMMC (26.1%). The median age of OT patients was 29 years (range: 5–83), with males representing more than half of the patients (56.5%). The mandible was the most frequent site of OT occurrence (72.5%), with ameloblastoma being the predominant OT (63.0%), followed by odontoma (19.5%). Among the treatment modalities, bone resection was employed the most (51.0%), followed by enucleation (25.6%). Notably, 11.5% of OT cases with available follow-up data exhibited recurrence, with ameloblastoma accounting for eight recurrent cases. Conclusions: Although OTs are relatively common in the jaws, they are rare in anatomical pathology laboratories and the general population. This study contributes valuable insights into the epidemiology characteristics, treatment trends, and recurrence rates of OTs in Saudi Arabia. Full article
(This article belongs to the Special Issue Advances in the Diagnosis of Oral and Maxillofacial Disease)
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Other

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25 pages, 519 KiB  
Systematic Review
Performance of Artificial Intelligence Models Designed for Automated Estimation of Age Using Dento-Maxillofacial Radiographs—A Systematic Review
by Sanjeev B. Khanagar, Farraj Albalawi, Aram Alshehri, Mohammed Awawdeh, Kiran Iyer, Barrak Alsomaie, Ali Aldhebaib, Oinam Gokulchandra Singh and Abdulmohsen Alfadley
Diagnostics 2024, 14(11), 1079; https://doi.org/10.3390/diagnostics14111079 - 22 May 2024
Viewed by 265
Abstract
Automatic age estimation has garnered significant interest among researchers because of its potential practical uses. The current systematic review was undertaken to critically appraise developments and performance of AI models designed for automated estimation using dento-maxillofacial radiographic images. In order to ensure consistency [...] Read more.
Automatic age estimation has garnered significant interest among researchers because of its potential practical uses. The current systematic review was undertaken to critically appraise developments and performance of AI models designed for automated estimation using dento-maxillofacial radiographic images. In order to ensure consistency in their approach, the researchers followed the diagnostic test accuracy guidelines outlined in PRISMA-DTA for this systematic review. They conducted an electronic search across various databases such as PubMed, Scopus, Embase, Cochrane, Web of Science, Google Scholar, and the Saudi Digital Library to identify relevant articles published between the years 2000 and 2024. A total of 26 articles that satisfied the inclusion criteria were subjected to a risk of bias assessment using QUADAS-2, which revealed a flawless risk of bias in both arms for the patient-selection domain. Additionally, the certainty of evidence was evaluated using the GRADE approach. AI technology has primarily been utilized for automated age estimation through tooth development stages, tooth and bone parameters, bone age measurements, and pulp–tooth ratio. The AI models employed in the studies achieved a remarkably high precision of 99.05% and accuracy of 99.98% in the age estimation for models using tooth development stages and bone age measurements, respectively. The application of AI as an additional diagnostic tool within the realm of age estimation demonstrates significant promise. Full article
(This article belongs to the Special Issue Advances in the Diagnosis of Oral and Maxillofacial Disease)
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