Special Issue "Recent Advances and Personalized Treatment in Dental Health"

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Clinical Medicine, Cell, and Organism Physiology".

Deadline for manuscript submissions: 30 November 2022 | Viewed by 897

Special Issue Editors

Prof. Dr. Paulo J. Palma
E-Mail Website
Guest Editor
1. Institute of Endodontics, Faculty of Medicine, University of Coimbra, 3000-075 Coimbra, Portugal
2. Center for Innovation and Research in Oral Sciences (CIROS), Faculty of Medicine University of Coimbra, Coimbra, Portugal
Interests: biomaterials; endodontics files; endodontics; regenerative tissue; apexification; apical papilla; apical papilla stem cells; calcium silicate–based cements; chitosan; scaffolds; conservative dentistry & endodontics; cyclic fatigue; cyclic fatigue resistance; dental materials; dentistry; dentistry; oral surgery & medicine; endodontic instruments and instrumentation; regenerative endodontics; endodontic biofilms; endodontic microbiology; endodontics; endodontics and restativendodontics; niti files; intrumentation; mineral trioxide aggregate; nanotechnology; niti instruments; regenerative endodontics; regenerative endodontics procedures; revascularization/revitalization; tooth discoloration
Special Issues, Collections and Topics in MDPI journals
Dr. Rui I. Falacho
E-Mail Website
Guest Editor
1. Institute of Oral Implantology and Prosthodontics, Faculty of Medicine, University of Coimbra, 3000-075 Coimbra, Portugal
2. Center for Innovation and Research in Oral Sciences (CIROS), Faculty of Medicine University of Coimbra, Coimbra, Portugal
Interests: biomechanics; biomimetic dentistry; biomaterials; endodontics; prosthodontics; aesthetic dentistry; ceramics; composite resins; bioceramics; adhesion; bone regeneration

Special Issue Information

Dear Colleagues,

It is our utmost pleasure to invite you to submit manuscripts to one of the most pressing topics in dentistry worldwide: “Recent Advances and Personalized Treatment in Dental Health”.

The search for a healthcare approach that makes use of the latest technology and advancements to provide the best individualized treatment options is not new and in fact has deep roots among dentistry professionals.

With the advent of digital dentistry and its dissemination throughout several specific knowledge areas (endodontics, periodontics, orthodontics, surgery, implantology, oral rehabilitation, occlusion, etc.), the seemingly intangible concept of deeply customizing every treatment to each patient is nowadays a reality bestowed with a promising future of overcoming boundaries.

The present Special Issue will focus on clinically and scientifically valuable research in dentistry and allied disciplines in order to provide evidence-based information that will contribute to a better understanding and implementation of cutting-edge, patient-centered, and tailored treatment options. 

We look forward to receiving your submissions.

Prof. Dr. Paulo J. Palma
Dr. Rui I. Falacho 
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 Personalized Medicine is an international peer-reviewed open access monthly 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 2000 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

  • digital endodontics 
  • digital dentistry 
  • dental technology 
  • oral rehabilitation 
  • patient-centered dentistry 
  • TaO dentistry

Published Papers (2 papers)

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Research

Article
Multifactorial Analysis of Endodontic Microsurgery Using Finite Element Models
J. Pers. Med. 2022, 12(6), 1012; https://doi.org/10.3390/jpm12061012 - 20 Jun 2022
Viewed by 262
Abstract
Background: The present study aimed to classify the relative contributions of four biomechanical factors—the root-end filling material, the apical preparation, the root resection length, and the bone height—on the root stresses of the resected premolar. Methods: A design of [...] Read more.
Background: The present study aimed to classify the relative contributions of four biomechanical factors—the root-end filling material, the apical preparation, the root resection length, and the bone height—on the root stresses of the resected premolar. Methods: A design of experiments approach based on a defined subset of factor combinations was conducted to calculate the influence of each factor and their interactions. Sixteen finite element models were created and analyzed using the von Mises stress criterion. The robustness of the design of experiments was evaluated with nine supplementary models. Results: The current study showed that the factors preparation and bone height had a high influence on root stresses. However, it also revealed that nearly half of the biomechanical impact was missed without considering interactions between factors, particularly between resection and preparation. Conclusions: Design of experiments appears to be a valuable strategy to classify the contributions of biomechanical factors related to endodontics. Imagining all possible interactions and their clinical impact is difficult and can require relying on one’s own experience. This study proposed a statistical method to quantify the mechanical risk when planning apicoectomy. A perspective could be to integrate the equation defined herein in future software to support decision-making. Full article
(This article belongs to the Special Issue Recent Advances and Personalized Treatment in Dental Health)
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Article
Three-Dimensional Postoperative Results Prediction for Orthognathic Surgery through Deep Learning-Based Alignment Network
J. Pers. Med. 2022, 12(6), 998; https://doi.org/10.3390/jpm12060998 - 18 Jun 2022
Viewed by 393
Abstract
To date, for the diagnosis of dentofacial dysmorphosis, we have relied almost entirely on reference points, planes, and angles. This is time consuming, and it is also greatly influenced by the skill level of the practitioner. To solve this problem, we wanted to [...] Read more.
To date, for the diagnosis of dentofacial dysmorphosis, we have relied almost entirely on reference points, planes, and angles. This is time consuming, and it is also greatly influenced by the skill level of the practitioner. To solve this problem, we wanted to know if deep neural networks could predict postoperative results of orthognathic surgery without relying on reference points, planes, and angles. We use three-dimensional point cloud data of the skull of 269 patients. The proposed method has two main stages for prediction. In step 1, the skull is divided into six parts through the segmentation network. In step 2, three-dimensional transformation parameters are predicted through the alignment network. The ground truth values of transformation parameters are calculated through the iterative closest points (ICP), which align the preoperative part of skull to the corresponding postoperative part of skull. We compare pointnet, pointnet++ and pointconv for the feature extractor of the alignment network. Moreover, we design a new loss function, which considers the distance error of transformed points for a better accuracy. The accuracy, mean intersection over union (mIoU), and dice coefficient (DC) of the first segmentation network, which divides the upper and lower part of skull, are 0.9998, 0.9994, and 0.9998, respectively. For the second segmentation network, which divides the lower part of skull into 5 parts, they were 0.9949, 0.9900, 0.9949, respectively. The mean absolute error of transverse, anterior–posterior, and vertical distance of part 2 (maxilla) are 0.765 mm, 1.455 mm, and 1.392 mm, respectively. For part 3 (mandible), they were 1.069 mm, 1.831 mm, and 1.375 mm, respectively, and for part 4 (chin), they were 1.913 mm, 2.340 mm, and 1.257 mm, respectively. From this study, postoperative results can now be easily predicted by simply entering the point cloud data of computed tomography. Full article
(This article belongs to the Special Issue Recent Advances and Personalized Treatment in Dental Health)
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