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Applied Sciences
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Advanced Biotechnology Applied to Orthodontic TSADs and CBCT, 2nd Edition
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Advanced Biotechnology Applied to Orthodontic TSADs and CBCT, 2nd Edition

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: closed (30 September 2024) | Viewed by 2322

Special Issue Editor

Prof. Dr. Jong-Moon Chae

E-Mail Website
Guest Editor
Department of Orthodontics, School of Dentistry, University of Wonkwang, Iksan 54538, Republic of Korea
Interests: orthodontics; vertical control; skeletal anchorage; cone-beam computed tomography; finite element study
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue aims to enumerate the advanced biotechnology applied to various orthodontic temporary skeletal anchorage devices (TSADs) and cone-beam computed tomography (CBCT). With their advent, the range of orthodontic diagnosis and camouflage treatments expanded through the selective application of TSADs and CBCT to obtain the essential mechanics and evidence allowing the achievement of acceptable treatment results. Nowadays, TSADs and CBCT are no longer new within the orthodontic field but are essentially involved and designed in the orthodontic diagnosis and treatment planning processes to achieve more effective tooth movement and better treatment results. Therefore, in this Special Issue, we seek several authors to contribute articles demonstrating the broad applications of various TSADs and CBCT.

Prof. Dr. Jong-Moon Chae
Guest Editor

Manuscript Submission Information

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Keywords

  • extra-alveolar and intra-alveolar TSADs
  • three-dimensional tooth movement
  • transverse expansion
  • CBCT
  • three-dimensional diagnosis and analysis

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Published Papers (3 papers)

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Research

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13 pages, 5339 KiB  
Article
Three-Dimensional Upper Airway Analysis of Different Craniofacial Skeletal Patterns in Vietnamese Adults
by Trang Thi Thu Vu, Mohamed Bayome, Anh Dinh Viet Vu and Phuong Thi Thu Nguyen
Appl. Sci. 2024, 14(22), 10477; https://doi.org/10.3390/app142210477 - 14 Nov 2024
Viewed by 355
Abstract
Introduction: This study aimed to investigate differences in the three-dimensional (3D) upper airway dimensions in Vietnamese participants. Methods: This study included 341 Vietnamese participants grouped based on the vertical growth pattern (ANB angle) (skeletal Class I, 123; Class II, 124; Class III, 94). [...] Read more.
Introduction: This study aimed to investigate differences in the three-dimensional (3D) upper airway dimensions in Vietnamese participants. Methods: This study included 341 Vietnamese participants grouped based on the vertical growth pattern (ANB angle) (skeletal Class I, 123; Class II, 124; Class III, 94). The patients were categorized into subgroups based on the horizontal growth pattern according to the Frankfort mandibular angle (hypodivergent, 35; normodivergent, 175; hyperdivergent, 131) to compare the frequency distribution of the three growth patterns in each skeletal class. The airway dimensions of the three skeletal classes were divided into four volumes using 3D virtual software (In VivoDental Software 6.0). The height, width, and cross-sectional area (CSA) of each part, as well as the total volume and minimum CSA, were measured and analyzed. Results: The airway space was reduced in hyperdivergent Class II individuals, underscoring an important connection between upper airway dimensions and vertical skeletal patterns, which suggests that vertical growth patterns contribute to pharyngeal narrowing and subsequent upper airway obstruction. Significant differences (p < 0.001) in the minimum CSAs and volumes of the middle and inferior pharyngeal airways were observed based on Angle’s skeletal classification. Conclusions: Our insights are valuable for orthodontics, especially in diverse populations, such as the Vietnamese, due to differences in the influence of genetic and environmental factors on skeletal and airway characteristics. Full article
(This article belongs to the Special Issue Advanced Biotechnology Applied to Orthodontic TSADs and CBCT, 2nd Edition)
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13 pages, 4376 KiB  
Article
Differential Relapse of Proximal and Distal Segments after Mandibular Setback Surgery
by Jin-Deok Kim, Sung-Hoon Lim and Jae Hyun Park
Appl. Sci. 2024, 14(20), 9299; https://doi.org/10.3390/app14209299 - 12 Oct 2024
Viewed by 484
Abstract
This study aimed to evaluate the differential positional changes of the proximal and distal segments during mandibular setback surgery relapse. Thirty patients with mandibular prognathism who underwent bilateral sagittal split ramus osteotomy were included. Skull models from pretreatment, postsurgery, and post-treatment cone-beam computed [...] Read more.
This study aimed to evaluate the differential positional changes of the proximal and distal segments during mandibular setback surgery relapse. Thirty patients with mandibular prognathism who underwent bilateral sagittal split ramus osteotomy were included. Skull models from pretreatment, postsurgery, and post-treatment cone-beam computed tomography were superimposed to evaluate condylar displacement and rotational changes, and to determine the center of rotation (CRot) in the proximal and distal segments. During postsurgical relapse, the proximal segment rotated 2.4 ± 2.1° counterclockwise, with the CRot located near the mandibular condyle. The distal segment rotated 2.0 ± 2.3° counterclockwise, resulting in forward and upward movement of the chin. The displaced condyle partially returned to its original position during postsurgical orthodontic treatment. A vertical bony step (VBS) between the proximal and distal segments commonly occurs during mandibular setback surgery. As the VBS increases, the CRot of the distal segment shifts posterosuperiorly, following a predictable pattern outlined by regression equations. These findings suggest that relapse after mandibular setback surgery consistently occurs in an anterosuperior direction, with translatory movement becoming more prominent as the VBS increases. Including these regression equations in presurgical planning can enhance the precision of relapse simulations and help clinicians more accurately anticipate postsurgical relapse. Full article
(This article belongs to the Special Issue Advanced Biotechnology Applied to Orthodontic TSADs and CBCT, 2nd Edition)
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Other

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17 pages, 3046 KiB  
Systematic Review
A Comparative Study of Deep Learning and Manual Methods for Identifying Anatomical Landmarks through Cephalometry and Cone-Beam Computed Tomography: A Systematic Review and Meta-Analysis
by Yoonji Lee, Jeong-Hye Pyeon, Sung-Hoon Han, Na Jin Kim, Won-Jong Park and Jun-Beom Park
Appl. Sci. 2024, 14(16), 7342; https://doi.org/10.3390/app14167342 - 20 Aug 2024
Viewed by 1034
Abstract
Background: Researchers have noted that the advent of artificial intelligence (AI) heralds a promising era, with potential to significantly enhance diagnostic and predictive abilities in clinical settings. The aim of this meta-analysis is to evaluate the discrepancies in identifying anatomical landmarks between AI [...] Read more.
Background: Researchers have noted that the advent of artificial intelligence (AI) heralds a promising era, with potential to significantly enhance diagnostic and predictive abilities in clinical settings. The aim of this meta-analysis is to evaluate the discrepancies in identifying anatomical landmarks between AI and manual approaches. Methods: A comprehensive search strategy was employed, incorporating controlled vocabulary (MeSH) and free-text terms. This search was conducted by two reviewers to identify published systematic reviews. Three major electronic databases, namely, Medline via PubMed, the Cochrane database, and Embase, were searched up to May 2024. Results: Initially, 369 articles were identified. After conducting a comprehensive search and applying strict inclusion criteria, a total of ten studies were deemed eligible for inclusion in the meta-analysis. The results showed that the average difference in detecting anatomical landmarks between artificial intelligence and manual approaches was 0.35, with a 95% confidence interval (CI) ranging from −0.09 to 0.78. Additionally, the overall effect between the two groups was found to be insignificant. Upon further analysis of the subgroup of cephalometric radiographs, it was determined that there were no significant differences between the two groups in terms of detecting anatomical landmarks. Similarly, the subgroup of cone-beam computed tomography (CBCT) revealed no significant differences between the groups. Conclusions: In summary, the study concluded that the use of artificial intelligence is just as effective as the manual approach when it comes to detecting anatomical landmarks, both in general and in specific contexts such as cephalometric radiographs and CBCT evaluations. Full article
(This article belongs to the Special Issue Advanced Biotechnology Applied to Orthodontic TSADs and CBCT, 2nd Edition)
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