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Diagnostics
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Advances in Diagnosis and Management of Oral Disorders
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Advances in Diagnosis and Management of Oral Disorders

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Clinical Diagnosis and Prognosis".

Deadline for manuscript submissions: 30 September 2025 | Viewed by 1849

Special Issue Editor

Dr. Jyothi Tadakamadla

E-Mail Website
Guest Editor
1. Dentistry and Oral Health, Department of Rural Clinical Sciences, La Trobe Rural Health School, La Trobe University, Bendigo, VIC 3550, Australia
2. Violet Vines Marshman Centre for Rural Health Research, La Trobe Rural Health School, La Trobe University, Bendigo, VIC 3550, Australia
Interests: oral health; oral diseases; oral pathology; oral medicine; dental caries; dental surgery; dentistry
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Oral disorders encompass a wide range of conditions that impact the oral cavity, including dental caries, periodontal diseases, oral cancers, and temporomandibular joint disorders. Recent advances in diagnosing and managing these disorders are transforming patient outcomes, enhancing early detection and preventive management, improving treatment efficacy, and promoting individualised care approaches. Existing and new diagnostic techniques, such as enhanced imaging technologies, biomarker-based tests, and artificial intelligence (AI)-driven analysis, have led to the earlier and more accurate prediction or detection of oral diseases. Additionally, innovations in prevention and treatment approaches, including minimally invasive techniques, minimise patient discomfort and recovery time while optimising long-term results. In this Special Issue, we invite original research articles and systematically conducted reviews on advancements in diagnostic techniques and management techniques for oral diseases. We aim to explore recent advancements in diagnostic tools, disease prediction techniques, and management strategies for oral diseases, focusing on improving patient outcomes through early detection, personalised treatment plans, and minimally invasive approaches.

Dr. Jyothi Tadakamadla
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

  • oral disease
  • biomarker
  • prognosis
  • periodontal disease
  • machine learning
  • MRI
  • CBCT

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

14 pages, 1226 KiB  
Article
Evaluation of Respiratory Conditions in Individuals Undergoing Rapid Maxillary Expansion: A Computational Fluid Dynamics Study
by Arzu Alan, Mehmet Ugurlu, İbrahim Sevki Bayrakdar, Fehmi Gonuldas, Sergio Lucio Pereira de Castro Lopes, Andre Luiz Ferreira Costa and Kaan Orhan
Diagnostics 2025, 15(5), 527; https://doi.org/10.3390/diagnostics15050527 - 21 Feb 2025
Viewed by 610
Abstract
Background/Objectives: The effect of rapid maxillary expansion (RME) on the nasal and pharyngeal airways in children remains uncertain. This retrospective study utilized computational fluid dynamics (CFD) to assess the changes in ventilation parameters caused by RME in children. Methods: Pre- and post-RME cone [...] Read more.
Background/Objectives: The effect of rapid maxillary expansion (RME) on the nasal and pharyngeal airways in children remains uncertain. This retrospective study utilized computational fluid dynamics (CFD) to assess the changes in ventilation parameters caused by RME in children. Methods: Pre- and post-RME cone beam computed tomography (CBCT) images of 20 patients (4 males, mean age 13 ± 2 years) treated with RME for maxillary transverse insufficiency were evaluated. The RME treatment was conducted using two distinct techniques: tooth-borne and tooth-bone-borne. CFD simulations were used to investigate the airflow conditions (pressure and velocity) in the whole upper airway, nasal airway, and maxillary sinus. Morphological alterations and variations in ventilation parameters before and after RME treatment were statistically compared. The extent of changes in the morphological and ventilatory characteristics of the upper airway, depending on the type of RME, was assessed. Additionally, changes in the ventilation conditions of the upper airway, nasal airway, and maxillary sinus after RME treatment were statistically analyzed. Statistical analyses using IBM SPSS v22 (New York, USA) software included paired t-tests, Mann–Whitney U tests, Wilcoxon matched-pairs signed-rank tests, intraclass correlation coefficients, and coefficients of variation (p < 0.05). Results: The CFD study revealed a notable reduction in both air flow velocity and pressure after the RME treatment (p < 0.05). A statistically significant increase was seen in the parameters used to assess the morphological changes following RME treatment, including nasal width, anterior and posterior nasal cross-sectional area, intermaxillary and intermandibulary molar width, and oropharyngeal airway width (p < 0.05). Regarding the change in airway ventilation, there was no statistically significant difference between tooth-borne and tooth-bone-borne RME treatments (p > 0.05). Conclusions: RME not only treats orthodontic issues in childhood but also increases airflow, which enhances ventilation. CDF is an effective method for the detection of ventilation improvement. Full article
(This article belongs to the Special Issue Advances in Diagnosis and Management of Oral Disorders)
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13 pages, 4443 KiB  
Article
Clinical Dental Midline Shift Is Not a Predictor of the Side of Shorter Hemimandible: A Cone Beam Computed Tomography Diagnostic Study
by Lígia Pereira da Silva, Alicia López-Solache, Urbano Santana-Penín, José López-Cedrún, María Jesus Mora, Pablo Varela-Centelles, Antonio González-Mosquera, Almudena Rodríguez-Fernández and Urbano Santana Mora
Diagnostics 2025, 15(2), 161; https://doi.org/10.3390/diagnostics15020161 - 13 Jan 2025
Viewed by 933
Abstract
Background/Objectives: Interincisive midline deviation is frequent. Determining the cause (dental versus skeletal) is crucial for treatment planning. This study assessed the null hypothesis that neither clinical dental midline shift nor the temporomandibular disorder (TMD)-affected side correlate with maxillary/mandibular asymmetry. Methods: Thirty-eight [...] Read more.
Background/Objectives: Interincisive midline deviation is frequent. Determining the cause (dental versus skeletal) is crucial for treatment planning. This study assessed the null hypothesis that neither clinical dental midline shift nor the temporomandibular disorder (TMD)-affected side correlate with maxillary/mandibular asymmetry. Methods: Thirty-eight CBCT scans were analyzed: thirty-five (92.1%) females, three (7.9%) males; mean (SD) age 34.6 (11.9) years old. Tomographic images were acquired using the i-CAT® Imaging System; mandibular/maxillary measurements were obtained with the Planmeca Romexis® software v.6.This is an ancillary study of a clinical trial (NCT02144233) that included chronic pain (TMD diagnosis; DC/TMD criteria), fully dentate, and stable normo-occlusion participants. Results: We found sixteen (42.1%) dental midline deviations to the right and thirteen (34.2%) to the left. In the study population, the right side was more developed: a hemimandible length of 119.4 (5.7) mm versus 118.6 (5.3) mm for the right and left sides, respectively (95% CI 0.21 to 1.51), p = 0.01. Conclusions: Neither the dental midline shift side nor the affected side predicted a less developed hemimandible. Full article
(This article belongs to the Special Issue Advances in Diagnosis and Management of Oral Disorders)
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