Advances in Orthodontic Diagnosis and Treatment: Methods and Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Dentistry and Oral Sciences".
Deadline for manuscript submissions: 25 May 2025 | Viewed by 1943
Special Issue Editors
Interests: interceptive orthodontics; dental anomalies; genetic; dentofacial orthopedics; digital orthodontics
Special Issues, Collections and Topics in MDPI journals
Interests: digital dentistry; biomaterials; orthodontics; clear aligners; sleep dentistry; temporomandibular disorders
Special Issues, Collections and Topics in MDPI journals
Interests: dentofacial orthopedics; impacted canine; radiology; interdisciplinary treatments; digital orthodontics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The last two decades have marked a decisive change in orthodontics. Technical and technological development, driven by the growing demand for a digital workflow, is increasingly moving towards the concept of “precision orthodontics”, applicable to both diagnostic and therapeutic aspects, with the aim of improving treatment efficiency.
In the field of diagnosis, the progress of artificial intelligence, the interdisciplinarity with other medical branches such as biomedicine, genomics, and proteomics, and the use of new dedicated tools are giving promising results. In treatment, new methods and applications such as virtual treatment planning, custom-made appliances, and CAD/CAM technologies are emerging.
This Special Issue focuses on the current state of advancement in diagnosis and treatment in orthodontics, as well as on challenges that will certainly benefit from translational research. Articles dealing with topics such as digital, precision, and customized orthodontics, artificial intelligence, teleorthodontics, clear aligners, 3D printing, virtual treatment planning, CAD/CAM technology, and translational research are welcome.
In particular, we look forward to receiving research articles, systematic and comprehensive reviews, and case reports (accompanied by documentation highlighting the use of advanced technologies and unique treatment methods).
We hope that many of you will participate, embracing the belief that sharing methods and applications can enhance the attractiveness and efficacy of the wonderful discipline of orthodontics.
Dr. Rosanna Guarnieri
Prof. Dr. Vincenzo D'Antò
Prof. Dr. Ersilia Barbato
Guest Editors
Manuscript Submission Information
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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. Applied Sciences 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 2400 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 orthodontics
- precision orthodontics
- customized appliances
- artificial intelligence
- teleorthodontics
- aligners
- 3D printing
- virtual treatment planning
- digital workflow
- CAD/CAM
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Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Surgical navigation in cleidocranial dysplasia needing multiple extractions and uncovering of unerupted teeth
Authors: Maria Costanza Meazzini
Affiliation: Regional Center of Cleft Lip and Palate, Department of Maxillo Facial Surgery, Santi Paolo and Carlo Hospital, Via di Rudinì 8, 20142 Milan, Italy
Title: Predictability of transverse changes with MARPE using HU in CBCT
Authors: Javier Echarri; María José González-Olmo; Martín Romero; Manuel O. Lagravère; Martín Romero-Maroto
Affiliation: Department of Orthodontics, Rey Juan Carlos University, 28922 Alcorcón, Spain
Title: Compare the accuracy and reproducibility of the EinScan H2 with respect to the Vectra M3 3D Imaging System and to anthropometric measurements
Authors: Luca Lombardo; Federica Pellitteri
Affiliation: Postgraduate School of Orthodontics, University of Ferrara, Via Luigi Borsari, 46, 44121 Ferrara, Italy
Abstract: Aim: The aim of the study was to compare the accuracy and reproducibility of the EinScan H2 (SHINING 3D, Hangzhou, China) with respect to the Vectra M3 3D Imaging System (Canfield Scientific, Parsippany, NJ.) and to anthropometric measurements.
Material and Methods: Twenty subjects have been scanned with two different facial scanning systems. Linear measurements were compared with direct anthropometries measured on the patient’s face, while the study of areas (forehead, tip of the nose, chin, right and left cheek) was evaluated by overlapping scans using the Geomagic Control X program. The analyses were performed using IBM SPSS v28 software, except for the power analysis which was conducted using R v4.2.1.
Results: The descriptive analysis of linear measurements taken showed high repeatability with all Intraclass Correlation Coefficient (ICC) values above 0.90. A paired Wilcoxon test revealed no significant differences (p>0.05) between measurements, indicating similarity across three instruments. Point measurements, also with ICC values above 0.90, confirming excellent repeatability. A single-sample Wilcoxon test showed no significant differences (p>0.05) in median values. Area measurements showed over 70% of overlapping surfaces within a highly reproducible band (0.5 mm to -0.5 mm).
Conclusions: Both scanning systems investigated in the current study can be considered an accurate acquisition systems proved to be effective in capturing 3D images of the face.
Title: Metal release and cell viability of 316L stainless steel coated with a-C:H coatings: the influence of low nitrogen doping
Authors: A. Fróis; J.R. Marques; L.F. Santos; C.S. Louro; A.C. Santos
Affiliation: University of Coimbra and University of Lisbon, Portugal
Title: Reproducibility and accuracy of two facial scanners: a 3D in-vivo study
Authors: Federica Pellitteri; Marta Calza; Giacomo Baldi; Matteo De Maio; Luca Lombardo
Affiliation: University of Ferrara
Abstract: Aim: The aim of the study was to compare the accuracy and reproducibility of the EinScan H2 (SHINING 3D, Hangzhou, China) with respect to the Vectra M3 3D Imaging System (Canfield Scientific, Parsippany, NJ.) and to anthropometric measurements. Methods: Twenty subjects have been scanned with two different facial scanning systems. Linear measurements were compared with direct anthropometries measured on the patient’s face, while the study of areas (forehead, tip of the nose, chin, right and left cheek) was evaluated by overlapping scans after best fit-alignment using the Geomagic Control X program. The statistical analysis was performed using IBM SPSS v28 software, except for the power analysis which was conducted using R v4.2.1. Results: Intraclass Correlation Coefficient (ICC) reported high repeatability in linear and point measurement with all values >0.90. The paired-sample Wilcoxon test revealed no significant differences (p>0.05) between linear measurements, indicating similarity across three instruments, as well as for point analysis, where a single-sample Wilcoxon test showed no significant differences (p>0.05) in median values. All cephalometric points showed a difference between the two instruments within the range from 0.5mm to -0.5mm, except for the subnasal point (0.73mm). Area measurements showed over 70% of overlapping surfaces within a highly reproducible band (0.5 mm to -0.5 mm). Conclusion: Both scanning systems investigated in the current study can be considered accurate acquisition systems proved to be effective in capturing 3D images of the patient’s face.
