Current Challenges in Clinical Dentistry

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Dentistry, Oral Surgery and Oral Medicine".

Deadline for manuscript submissions: 25 September 2024 | Viewed by 14894

Special Issue Editors


E-Mail Website
Guest Editor
Department of Orthodontics and Dentofacial Orthopedics, Tokushima University Graduate School of Biomedical Sciences, Tokushima 770-8504, Japan
Interests: biomechanics of the temporomandibular joint; orthodontic treatment for patients with temporomandibular joint disorders; tissue engineering of the temporomandibular joint; ultrasound research for tooth movement and bone remodeling; development of new biomaterials and novel treatment device in smart dentistry
Special Issues, Collections and Topics in MDPI journals
Tokushima University Graduate School of Biomedical Sciences, Tokushima 770-8504, Japan
Interests: obstractive sleep apnea; sleep bruxism; prosthodontics; temporomandibular disorders; jaw movement; occlusion

Special Issue Information

Dear Colleagues,

The development of medical technology is rapidly advancing and all medical researchers and practitioners need to learn the latest techniques and acquire current knowledge, resulting in the acquisition of practical clinical ability.

In dentistry, clinical practitioners commonly diagnose and treat various oral and craniofacial diseases in addition to using preventive dental practices. On the other hand,  numerous diseases remain challenging in terms of their protection and control. To practice patient-centered care, it is of great importance to obtain scientifically oriented information in clinical dentistry with the intention of continually expanding the dentist’s knowledge base.

This Special Issue aims to provide readers with insight into a new era of diagnosis and treatment in the dental field and inform them of new technologies and materials in pre-clinical and clinical dentistry that may make the impossible possible. We are willing to publish articles relevant to many related dental specialties. The essential requirement of this Special Issue is that all submitted articles include a challenging hypothesis, with significant positive and negative results both welcomed. It is our pleasure to invite you to submit a manuscript for this Special Issue. Full papers, communications, and reviews are all welcome.

Prof. Dr. Eiji Tanaka
Dr. Susumu Abe
Guest Editors

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. Journal of Clinical Medicine 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

  • clinical dentistry
  • epidemiology
  • geriatric dentistry
  • dental technology
  • dental material
  • challenging hypothesis
  • preventive dentistry
  • sleep medicine
  • digital dentistry
  • stomatognathic function

Published Papers (9 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Jump to: Review

24 pages, 14811 KiB  
Article
A Novel Therapeutic Approach of 980 nm Photobiomodulation Delivered with Flattop Beam Profile in Management of Recurrent Aphthous Stomatitis in Paediatrics and Adolescents—A Case Series with 3-Month Follow-Up
by Reem Hanna, Ioana Cristina Miron and Stefano Benedicenti
J. Clin. Med. 2024, 13(7), 2007; https://doi.org/10.3390/jcm13072007 - 29 Mar 2024
Viewed by 594
Abstract
Background/Objectives: Recurrent aphthous stomatitis (RAS) is one of the most common oral mucosal lesions and a very debilitating lesion, especially in paediatric and adolescent patients. The current pharmacotherapy offers a pain relief but not without side effects, and therefore photobiomodulation (PBM) can [...] Read more.
Background/Objectives: Recurrent aphthous stomatitis (RAS) is one of the most common oral mucosal lesions and a very debilitating lesion, especially in paediatric and adolescent patients. The current pharmacotherapy offers a pain relief but not without side effects, and therefore photobiomodulation (PBM) can be an alternative therapy. To the authors’ best knowledge, no published study has explored the efficacy of λ 980 nm laser PBM in the management of all RAS subtypes in paediatric and adolescent patients, and therefore, this prospective observational clinical study was conducted to bridge this gap by evaluating λ 980 nm laser PBM efficacy in symptomatic RAS management in paediatric and adolescent patients. The objectives were to evaluate (1) pain intensity alleviation; (2) wound healing rate; (3) wound size closure; (4) a complete resolution; (5) evidence of recurrence; and (6) patients’ treatment satisfaction. Methods: The study’s variables were assessed at the following timepoints: T0: pre-treatment; T1: immediately after first PBM session; T2: 5 hours (h) post first PBM session (via telephone call); T3: immediately after second PBM session (three days post first PBM session); T4: three-day follow-up (after complete PBM treatments); T5: two-week follow-up; and T6: three-month follow-up. The following PBM dosimetry and treatment protocols were employed: λ 980 nm; 300 mW; 60 s; 18 J; CW; flattop beam profile of 1 cm2 spot size; 18 J/cm2; and twice-a-week irradiation (72 h interval). Results: At T1, significant immediate pain intensity relief was reported. 33.33% recorded “4” and 66.67% reported “5” on the quantitative numeric pain intensity scale (NPIS), and this continued to improve significantly (83.33%) at T2. All the subjects reported “0” on the NPIS at T3, T4, T5 and T6. There was a significant reduction in the lesion surface area (>50% complete healing) at T3 compared to T0. Complete healing (100%) with no evidence of scarring and lesion recurrence observed at T4, T5 and T6. Very good patients’ satisfaction was reported at all timepoints. Conclusions: This is the first report demonstrating λ980 nm efficacy in all RAS subtype management in paediatric and adolescent patients with a 3-month follow-up, whereby its PBM dosimetry and treatment protocols were effective from scientific and practical standpoints, and hence multicentre RCTs with large data are warranted to validate its reproducibility and to enrich the knowledge of PBM application in all RAS subtypes. Full article
(This article belongs to the Special Issue Current Challenges in Clinical Dentistry)
Show Figures

Graphical abstract

12 pages, 290 KiB  
Article
Influence of Surgeon Experience on Surgical Outcome of Maxillomandibular Advancement for Obstructive Sleep Apnea
by Jean-Pierre T. F. Ho, Semih Özkan, Ning Zhou, Ruben C. Apperloo, Naichuan Su, Alfred G. Becking and Jan de Lange
J. Clin. Med. 2023, 12(10), 3504; https://doi.org/10.3390/jcm12103504 - 16 May 2023
Viewed by 1240
Abstract
The primary aim of this study was to assess the association between clinical efficacy outcomes (i.e., polysomnography (PSG) results) of maxillomandibular advancement (MMA) and surgeons’ experience. The second aim was to assess the association between the occurrence of postoperative complications of MMA and [...] Read more.
The primary aim of this study was to assess the association between clinical efficacy outcomes (i.e., polysomnography (PSG) results) of maxillomandibular advancement (MMA) and surgeons’ experience. The second aim was to assess the association between the occurrence of postoperative complications of MMA and surgeons’ experiences. Patients treated with MMA for moderate to severe obstructive sleep apnea (OSA) were enrolled in this retrospective study. The patient population was divided into two groups based on two different surgeons performing MMA. The associations between surgeons’ experience on the one hand and PSG results and postoperative complications on the other hand were investigated. A total of 75 patients were included. There was no significant difference in baseline characteristics between the two groups. The reductions in apnea-hypopnea index and oxygen desaturation index were both significantly greater in group-B than group-A (p = 0.015 and 0.002, respectively). The overall success rate after MMA was 64.0%. There was a negative correlation between surgeon experience and surgical success (odds ratio: 0.963 [0.93, 1.00], p = 0.031). No significant association was found between surgeon experience and surgical cure. Additionally, there was no significant association between surgeon experience and the occurrence of postoperative complications. Within the limitations of this study, it is concluded that surgeon experience may have little to no influence on the clinical efficacy and safety of MMA surgery in OSA patients. Full article
(This article belongs to the Special Issue Current Challenges in Clinical Dentistry)
13 pages, 1515 KiB  
Article
Inflammatory Markers as Predictors for Prolonged Duration of Hospitalization in Maxillofacial Infections
by Horatiu Urechescu, Eleonora Gheran-Vida, Cristiana Cuzic, Oana Ancusa, Sorin Ursoniu and Marius Pricop
J. Clin. Med. 2023, 12(3), 871; https://doi.org/10.3390/jcm12030871 - 21 Jan 2023
Cited by 1 | Viewed by 1134
Abstract
Despite the progress made in diagnosing and treating maxillofacial infections, the course of infection can be unpredictable, leading to severe complications, prolonged hospitalization, and substantial financial costs to health care services. It is important to determine whether various serum inflammatory marker levels on [...] Read more.
Despite the progress made in diagnosing and treating maxillofacial infections, the course of infection can be unpredictable, leading to severe complications, prolonged hospitalization, and substantial financial costs to health care services. It is important to determine whether various serum inflammatory marker levels on admission may predict a prolonged hospital stay in these patients. To analyze the role of CRP, white blood cell count (WBC), and neutrophil-to-lymphocyte ratio (NLR) in predicting the prolonged duration of hospitalization in maxillofacial infections, we performed a retrospective study by collecting paper records data from 108 patients who met our inclusion criteria. The patients were divided into two groups according to the duration of hospitalization (group A < 5 days and group B ≥ 5 days). The predictor variables were CRP, WBC, and NLR, and the outcome variable was the duration of hospitalization. This study confirmed a positive linear correlation (p < 0.001) between the predictors and the outcome variable. The optimal cut-off values for WBC are 11,030 white blood cells/μL and 63 mg/L for CRP. Levels that exceed these optimal values predict a duration of hospitalization of over (≥) 5 days. Serum WBC and CRP on admission may predict the duration of hospitalization in patients with MFI. Full article
(This article belongs to the Special Issue Current Challenges in Clinical Dentistry)
Show Figures

Figure 1

12 pages, 938 KiB  
Article
Orthodontic Treatment Does Not Affect Frontal Sinus Development in Female Adults: A Clinical Study
by Masaki Sawada, Saya Suetake, Hiroshi Yamada, Masaaki Higashino, Susumu Abe and Eiji Tanaka
J. Clin. Med. 2023, 12(3), 778; https://doi.org/10.3390/jcm12030778 - 18 Jan 2023
Cited by 1 | Viewed by 1285
Abstract
Frontal sinus growth is gradual and lasts until post-puberty. However, the influence of biomechanical stimuli, such as orthodontic treatment, on frontal sinus development after the growth period has ended remains unclear. This study was designed to elucidate the impact of orthodontic treatment on [...] Read more.
Frontal sinus growth is gradual and lasts until post-puberty. However, the influence of biomechanical stimuli, such as orthodontic treatment, on frontal sinus development after the growth period has ended remains unclear. This study was designed to elucidate the impact of orthodontic treatment on the frontal sinus morphology of adult females. Sixty women were included and divided into three groups, based on the Frankfort mandibular plane angle. All participants underwent computed tomography and lateral cephalometry before and after treatment. Although two participants exhibited frontal sinus agenesis, most exhibited a bilaterally symmetric frontal sinus without fusion. The frontal sinus width and height were almost similar, irrespective of the vertical skeletal pattern, where the frontal sinus depth was significantly larger in the average mandibular plane angle group than in the low- and high-angle groups. Furthermore, the sinus volume in the low-angle group was likely smaller than that in the average and high-angle groups. On comparing pre-treatment and post-treatment measurements, minimal or no changes to the frontal sinus dimension were detected after treatment. In conclusion, orthodontic treatment did not affect frontal sinus development after the end of growth. Full article
(This article belongs to the Special Issue Current Challenges in Clinical Dentistry)
Show Figures

Figure 1

15 pages, 2601 KiB  
Article
Associations between Periodontitis and COPD: An Artificial Intelligence-Based Analysis of NHANES III
by Andreas Vollmer, Michael Vollmer, Gernot Lang, Anton Straub, Veronika Shavlokhova, Alexander Kübler, Sebastian Gubik, Roman Brands, Stefan Hartmann and Babak Saravi
J. Clin. Med. 2022, 11(23), 7210; https://doi.org/10.3390/jcm11237210 - 04 Dec 2022
Cited by 9 | Viewed by 2953
Abstract
A number of cross-sectional epidemiological studies suggest that poor oral health is associated with respiratory diseases. However, the number of cases within the studies was limited, and the studies had different measurement conditions. By analyzing data from the National Health and Nutrition Examination [...] Read more.
A number of cross-sectional epidemiological studies suggest that poor oral health is associated with respiratory diseases. However, the number of cases within the studies was limited, and the studies had different measurement conditions. By analyzing data from the National Health and Nutrition Examination Survey III (NHANES III), this study aimed to investigate possible associations between chronic obstructive pulmonary disease (COPD) and periodontitis in the general population. COPD was diagnosed in cases where FEV (1)/FVC ratio was below 70% (non-COPD versus COPD; binary classification task). We used unsupervised learning utilizing k-means clustering to identify clusters in the data. COPD classes were predicted with logistic regression, a random forest classifier, a stochastic gradient descent (SGD) classifier, k-nearest neighbors, a decision tree classifier, Gaussian naive Bayes (GaussianNB), support vector machines (SVM), a custom-made convolutional neural network (CNN), a multilayer perceptron artificial neural network (MLP), and a radial basis function neural network (RBNN) in Python. We calculated the accuracy of the prediction and the area under the curve (AUC). The most important predictors were determined using feature importance analysis. Results: Overall, 15,868 participants and 19 feature variables were included. Based on k-means clustering, the data were separated into two clusters that identified two risk characteristic groups of patients. The algorithms reached AUCs between 0.608 (DTC) and 0.953% (CNN) for the classification of COPD classes. Feature importance analysis of deep learning algorithms indicated that age and mean attachment loss were the most important features in predicting COPD. Conclusions: Data analysis of a large population showed that machine learning and deep learning algorithms could predict COPD cases based on demographics and oral health feature variables. This study indicates that periodontitis might be an important predictor of COPD. Further prospective studies examining the association between periodontitis and COPD are warranted to validate the present results. Full article
(This article belongs to the Special Issue Current Challenges in Clinical Dentistry)
Show Figures

Figure 1

14 pages, 7973 KiB  
Article
Evaluation of the Tooth Surface after Irradiation with Diode Laser Applied for Removal of Dental Microorganisms from Teeth of Patients with Gingivitis, Using X-ray Photoelectron (XPS) and Optical Profilometry (OP)
by Iga Wawrzyk-Bochenek, Michał Łobacz, Sławomir Wilczyński, Mansur Rahnama, Justyna Szulc, Adam Konka and Anna Wawrzyk
J. Clin. Med. 2022, 11(22), 6840; https://doi.org/10.3390/jcm11226840 - 19 Nov 2022
Viewed by 1169
Abstract
Gingivitis is accompanied by microorganisms, including pathogens, which must be eliminated to speed up the treatment of inflammation. Laser irradiation may be one of the safe methods for reducing tissue contamination on the tooth surface. The aim of the study was the assessment [...] Read more.
Gingivitis is accompanied by microorganisms, including pathogens, which must be eliminated to speed up the treatment of inflammation. Laser irradiation may be one of the safe methods for reducing tissue contamination on the tooth surface. The aim of the study was the assessment of the tooth surface in patients with gingivitis after the use of a diode laser to eliminate microorganisms living there. In the first stage of the research, microorganisms were isolated (Candida albicans, C. guilliermondii, Escherichia coli, Haemophilus parainfluenzae, Klebsiella oxytoca, Neisseria subflava, Rothia dentocariosa, Rothia mucilaginosa, Streptococcus pneumoniae) from three patients with gingivitis, their identification confirmed using the MALDI-TOF MS technique (matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry). Then, the irradiation process with a diode laser was optimized to a wavelength of 810 nm ± 10 nm in five variants to reduce microorganisms on the tooth. The tooth surface was analyzed by X-ray photoelectron spectroscopy (XPS) and optical profilometry (OP) before and after irradiation. 103 to 106 CFU were detected on a 0.4 cm2 tooth area. Nine types of bacteria and two types of fungi dominated among the microorganisms. The laser at the most effective biocidal dose of 25 W/15.000 Hz/10 µs, average = 3.84 W, with three uses after 15 s, increased the reduction of fungi from 57.97% to 93.80%, and bacteria from 30.67% to 100%. This dose also caused a decrease in the degree of oxidation and in the effect of smoothing on the treated surfaces. Full article
(This article belongs to the Special Issue Current Challenges in Clinical Dentistry)
Show Figures

Figure 1

Review

Jump to: Research

12 pages, 255 KiB  
Review
Advancements in Methods of Classification and Measurement Used to Assess Tooth Mobility: A Narrative Review
by Gi Youn Kim, Sunjai Kim, Jae-Seung Chang and Se-Wook Pyo
J. Clin. Med. 2024, 13(1), 142; https://doi.org/10.3390/jcm13010142 - 27 Dec 2023
Viewed by 1254
Abstract
Evaluating tooth mobility is clinically significant, not only for diagnosing periodontal tissues but also in determining the overall periodontal treatment plan. Numerous studies related to tooth mobility have been conducted over the years, including the proposal of various classifications as well as the [...] Read more.
Evaluating tooth mobility is clinically significant, not only for diagnosing periodontal tissues but also in determining the overall periodontal treatment plan. Numerous studies related to tooth mobility have been conducted over the years, including the proposal of various classifications as well as the development of electronic devices for objective measurement. However, there is still no consensus on the measurement methods and criteria for assessing tooth mobility. In this study, we provide a comprehensive review of past and current tooth mobility classification and measurement methods. In order to propose a new method to intuitively evaluate tooth mobility based on previous studies, a digital approach capable of recording tooth micromovements induced by dynamic load should be considered. Full article
(This article belongs to the Special Issue Current Challenges in Clinical Dentistry)
16 pages, 792 KiB  
Review
Current Progress and Challenges of Using Artificial Intelligence in Clinical Dentistry—A Narrative Review
by Zinovia Surlari, Dana Gabriela Budală, Costin Iulian Lupu, Carmen Gabriela Stelea, Oana Maria Butnaru and Ionut Luchian
J. Clin. Med. 2023, 12(23), 7378; https://doi.org/10.3390/jcm12237378 - 28 Nov 2023
Cited by 2 | Viewed by 1647
Abstract
The concept of machines learning and acting like humans is what is meant by the phrase “artificial intelligence” (AI). Several branches of dentistry are increasingly relying on artificial intelligence (AI) tools. The literature usually focuses on AI models. These AI models have been [...] Read more.
The concept of machines learning and acting like humans is what is meant by the phrase “artificial intelligence” (AI). Several branches of dentistry are increasingly relying on artificial intelligence (AI) tools. The literature usually focuses on AI models. These AI models have been used to detect and diagnose a wide range of conditions, including, but not limited to, dental caries, vertical root fractures, apical lesions, diseases of the salivary glands, maxillary sinusitis, maxillofacial cysts, cervical lymph node metastasis, osteoporosis, cancerous lesions, alveolar bone loss, the need for orthodontic extractions or treatments, cephalometric analysis, age and gender determination, and more. The primary contemporary applications of AI in the dental field are in undergraduate teaching and research. Before these methods can be used in everyday dentistry, however, the underlying technology and user interfaces need to be refined. Full article
(This article belongs to the Special Issue Current Challenges in Clinical Dentistry)
Show Figures

Figure 1

17 pages, 1489 KiB  
Review
Are Local Drug Delivery Systems a Challenge in Clinical Periodontology?
by Dana Gabriela Budală, Ionut Luchian, Monica Tatarciuc, Oana Butnaru, Adina Oana Armencia, Dragoș Ioan Virvescu, Monica Mihaela Scutariu and Darian Rusu
J. Clin. Med. 2023, 12(12), 4137; https://doi.org/10.3390/jcm12124137 - 19 Jun 2023
Cited by 2 | Viewed by 2546
Abstract
Placing antimicrobial treatments directly in periodontal pockets is an example of the local administration of antimicrobial drugs to treat periodontitis. This method of therapy is advantageous since the drug concentration after application far surpasses the minimum inhibitory concentration (MIC) and lasts for a [...] Read more.
Placing antimicrobial treatments directly in periodontal pockets is an example of the local administration of antimicrobial drugs to treat periodontitis. This method of therapy is advantageous since the drug concentration after application far surpasses the minimum inhibitory concentration (MIC) and lasts for a number of weeks. As a result, numerous local drug delivery systems (LDDSs) utilizing various antibiotics or antiseptics have been created. There is constant effort to develop novel formulations for the localized administration of periodontitis treatments, some of which have failed to show any efficacy while others show promise. Thus, future research should focus on the way LDDSs can be personalized in order to optimize future clinical protocols in periodontal therapy. Full article
(This article belongs to the Special Issue Current Challenges in Clinical Dentistry)
Show Figures

Figure 1

Back to TopTop