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Diagnostics
Special Issues
Advanced Diagnosis and Treatment Plan for Orthodontic and Oro-Facial Rehabilitations
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Advanced Diagnosis and Treatment Plan for Orthodontic and Oro-Facial Rehabilitations

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Medical Imaging and Theranostics".

Deadline for manuscript submissions: 30 September 2024 | Viewed by 1024

Special Issue Editor

Dr. Antonino Lo Giudice

E-Mail Website
Guest Editor
Department of General Surgery and Medical-Surgical Specialties, School of Dentistry, Unit of Orthodontics, University of Catania, 95131 Catania, Italy
Interests: 3D imaging; CBCT; digital anatomical segmentation; facial scan; intraoral scan; cephalometry; craniofacial development imaging; CAD-CAM; diagnostic digital workflow; RMI; functional orthodontic appliances; dentofacial orthopedics; interceptive orthodontics; elastodontics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The continuous investigation into dental technology has significantly impacted the traditional clinical workflow related to the diagnosis and formulation of treatment strategies. In this context, recently developed technologies and equipment have been introduced to enhance the diagnostic process, especially in the fields of orthodontics and oro-facial rehabilitation. The present Special Issue has been tailored to address in vivo and ex vivo studies proposing and assessing innovative technologies supporting the diagnosis and treatment plan strategies for orthodontic and oral rehabilitation treatments. This encompasses digital equipment, CAD/CAM technologies, robotics, artificial intelligence, intraoral and facial scans, and modern radiology, designed for functional and aesthetic facial and dental rehabilitations. We invite interventional studies that seek to advance current knowledge on novel techniques and advances in orthodontics. Studies employing innovative approaches or presenting new information will receive higher priority. Reviews, including those utilizing conceptual frameworks related to any of the aforementioned topics, are also highly encouraged.

Dr. Antonino Lo Giudice
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at mdpi.longhoe.net 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

  • CBCT
  • facial scan
  • oral imaging
  • orthodontics
  • digital dentistry

Published Papers (3 papers)

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Research

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11 pages, 16235 KiB  
Article
Performance Evaluation of Ultrasound Images Using Non-Local Means Algorithm with Adaptive Isotropic Search Window for Improved Detection of Salivary Gland Diseases: A Pilot Study
by Ji-Youn Kim
Diagnostics 2024, 14(13), 1433; https://doi.org/10.3390/diagnostics14131433 - 4 Jul 2024
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Abstract
Speckle noise in ultrasound images (UIs) significantly reduces the accuracy of disease diagnosis. The aim of this study was to quantitatively evaluate its feasibility in salivary gland ultrasound imaging by modeling the adaptive non-local means (NLM) algorithm. UIs were obtained using an open-source [...] Read more.
Speckle noise in ultrasound images (UIs) significantly reduces the accuracy of disease diagnosis. The aim of this study was to quantitatively evaluate its feasibility in salivary gland ultrasound imaging by modeling the adaptive non-local means (NLM) algorithm. UIs were obtained using an open-source device provided by SonoSkills and FUJIFILM Healthcare Europe. The adaptive NLM algorithm automates optimization by modeling the isotropic search window, eliminating the need for manual configuration in conventional NLM methods. The coefficient of variation (COV), contrast-to-noise ratio (CNR), and edge rise distance (ERD) were used as quantitative evaluation parameters. UIs of the salivary glands revealed evident visualization of the internal echo shape of the malignant tumor and calcification line using the adaptive NLM algorithm. Improved COV and CNR results (approximately 4.62 and 2.15 times, respectively) compared with noisy images were achieved. Additionally, when the adaptive NLM algorithm was applied to the UIs of patients with salivary gland sialolithiasis, the noisy images and ERD values were calculated almost similarly. In conclusion, this study demonstrated the applicability of the adaptive NLM algorithm in optimizing search window parameters for salivary gland UIs. Full article
(This article belongs to the Special Issue Advanced Diagnosis and Treatment Plan for Orthodontic and Oro-Facial Rehabilitations)
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21 pages, 47576 KiB  
Article
Orthodontic System Modeled and Simulated with the Lingual Technique to Assess Tooth Forces
by Abbas Hazem, Felicia Ileana Mărășescu, Mihaela Jana Țuculină, Alexandru Dan Popescu, Dragoș Laurențiu Popa, Lelia Laurența Mihai, Cristian Niky Cumpătă, Alexandru Iliescu, Petre Mărășescu and Ionela Teodora Dascălu
Diagnostics 2024, 14(11), 1171; https://doi.org/10.3390/diagnostics14111171 - 31 May 2024
Viewed by 301
Abstract
CBCT (cone beam computed tomography) is an imaging investigation that provides three-dimensional (3D) images of craniofacial structures. The purpose of this study is to determine the mechanical behavior of an orthodontic system where the lingual treatment technique was used in a 25-year-old female [...] Read more.
CBCT (cone beam computed tomography) is an imaging investigation that provides three-dimensional (3D) images of craniofacial structures. The purpose of this study is to determine the mechanical behavior of an orthodontic system where the lingual treatment technique was used in a 25-year-old female patient from whom a set of CBCT scans was used. CBCT images were processed through software programs such as Invesalius, Geomagic, and Solid Works, to create models containing virtual solids. These models were then imported into Ansys Workbench 2019 R3 (a finite element method software program) for successive simulations to generate displacement maps, deformations, stress distributions, and diagrams. We observed that in the lingual technique, the lowest force occurring on the maxillary teeth is at 1.1, while the highest force appears at 2.3. In the mandible, the lowest force occurs at 4.6, and the highest force at 3.1. The values of the forces and the results of the finite element method can represent a basis for the innovation of new orthodontic springs and also of bracket elements. Thus, by using new technologies, orthodontic practice can be significantly improved for the benefit of patients. Other virtual methods and techniques can be used in future studies, including the application of virtual reality for orthodontic diagnosis. Full article
(This article belongs to the Special Issue Advanced Diagnosis and Treatment Plan for Orthodontic and Oro-Facial Rehabilitations)
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9 pages, 4738 KiB  
Technical Note
Intraoral Ultrasonography for the Exploration of Periodontal Tissues: A Technological Leap for Oral Diagnosis
by Matthieu Renaud, Mickael Gette, Alexis Delpierre, Samuel Calle, Franck Levassort, Frédéric Denis and Gaël Y. Rochefort
Diagnostics 2024, 14(13), 1335; https://doi.org/10.3390/diagnostics14131335 - 24 Jun 2024
Viewed by 287
Abstract
Introduction: Periodontal disease is an infectious syndrome presenting inflammatory aspects. Radiographic evaluation is an essential complement to clinical assessment but has limitations such as the impossibility of assessing tissue inflammation. It seems essential to consider new exploration methods in clinical practice. Ultrasound of [...] Read more.
Introduction: Periodontal disease is an infectious syndrome presenting inflammatory aspects. Radiographic evaluation is an essential complement to clinical assessment but has limitations such as the impossibility of assessing tissue inflammation. It seems essential to consider new exploration methods in clinical practice. Ultrasound of periodontal tissues could make it possible to visualize periodontal structures and detect periodontal diseases (periodontal pocket measurement and the presence of intra-tissue inflammation). Clinical Innovation Report: An ultrasound probe has been specially developed to explore periodontal tissues. The objective of this clinical innovation report is to present this device and expose its potential. Discussion: Various immediate advantages favor using ultrasound: no pain, no bleeding, faster execution time, and an image recording that can be replayed without having to probe the patient again. Ultrasound measurements of pocket depth appear to be as reliable and reproducible as those obtained by manual probing, as do tissue thickness measurements and the detection of intra-tissue inflammation. Conclusions: Ultrasound seems to have a broad spectrum of indications. Given the major advances offered by ultrasound imaging as a complementary aid to diagnosis, additional studies are necessary to validate these elements and clarify the potential field of application of ultrasound imaging in dentistry. Full article
(This article belongs to the Special Issue Advanced Diagnosis and Treatment Plan for Orthodontic and Oro-Facial Rehabilitations)
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