Computer Technologies in Oral and Maxillofacial Surgery

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 (20 March 2023) | Viewed by 10527

Special Issue Editors


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Guest Editor
Department of Oral and Maxillofacial Surgery, College of Dentistry, Chosun University, Gwangju 61452, Republic of Korea
Interests: computer-assisted surgery; VR/AR; oral cancer; reconstruction; 3D printing; 3D simulation; implant; TMJ
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Guest Editor
Department of Oral & Maxillofacial Surgery, School of Dentistry, Kyung Hee University, Seoul 02447, Republic of Korea
Interests: bone; maxillofacial surgery; dental implant; sleep apnea
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Guest Editor
Institute of Integrated Technology, Gwangju Institute of Science and Technology, Gwangju 61005, Republic of Korea
Interests: artificial intelligence
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Special Issue Information

Dear Colleagues,

Recently, the development of 3D printing, VR, AR, and AI, which are in the spotlight as future technologies, is receiving a lot of interest in the medical field, and medical technologies that combine them are being used in various fields. New computer technologies will revolutionize research, diagnosis, treatment, and education in dentistry. The development of computer technology can provide us with new advances in oral and maxillofacial surgery.

This Special Issue focuses on all the recent computer technology that can enhance research, diagnosis, treatment, and education in dentistry. For this purpose, we invite you to submit original research articles, clinical articles, and reviews to any of the topics mentioned above.

Prof. Dr. SeongYong Moon
Prof. Dr. Yong-Dae Kwon
Prof. Dr. Kyoobin Lee
Guest Editors

Manuscript Submission Information

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Keywords

  • VR/AR
  • AI
  • big data
  • simulation
  • computer-based education
  • patient-specific implant
  • 3D printing
  • CAD/CAM
  • finite element analysis, FEA
  • oral cancer
  • head and neck reconstruction
  • implant
  • trauma
  • oral and maxillofacial surgery

Published Papers (5 papers)

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Research

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11 pages, 5089 KiB  
Article
Three-Dimensional Analysis of Bone Volume Change at Donor Sites in Mandibular Body Bone Block Grafts by a Computer-Assisted Automatic Registration Method: A Retrospective Study
by Sola Kim, JaeJoon Hwang, Bong-Hae Cho, Yujin Kim and Jae-Yeol Lee
Appl. Sci. 2022, 12(14), 7261; https://doi.org/10.3390/app12147261 - 19 Jul 2022
Cited by 1 | Viewed by 1409
Abstract
This study aimed to evaluate the bone volume change at donor sites in patients who received mandibular body bone block grafts using intensity-based automatic image registration. A retrospective study was conducted with 32 patients who received mandibular bone block grafts between 2017 and [...] Read more.
This study aimed to evaluate the bone volume change at donor sites in patients who received mandibular body bone block grafts using intensity-based automatic image registration. A retrospective study was conducted with 32 patients who received mandibular bone block grafts between 2017 and 2019 at the Pusan National University Dental Hospital. Cone-beam computed tomography (CBCT) images were obtained before surgery (T0), 1 day after surgery (T1), and 4 months after surgery (T2). Scattered artefacts were removed by manual segmentation. The T0 image was used as the reference image for registration of T1 and T2 images using intensity-based registration. A total of 32 donor sites were analyzed three-dimensionally. The volume and pixel value of the bones were measured and analyzed. The mean regenerated bone volume rate on follow-up images (T2) was 34.87% ± 17.11%. However, no statistically significant differences of regenerated bone volume were noted among the four areas of the donor site (upper anterior, upper posterior, lower anterior, and lower posterior). The mean pixel value rate of the follow-up images (T2) was 78.99% ± 16.9% compared with that of T1, which was statistically significant (p < 0.05). Intensity-based registration with histogram matching showed that newly generated bone is generally qualitatively and quantitatively poorer than the original bone, thus revealing the feasibility of pixel value to evaluate bone quality in CBCT images. Considering the bone mass recovered in this study, 4 months may not be sufficient for a second harvesting, and a longer period of follow-up is required. Full article
(This article belongs to the Special Issue Computer Technologies in Oral and Maxillofacial Surgery)
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14 pages, 2766 KiB  
Article
Evaluation of the Predictability and Accuracy of Orthognathic Surgery in the Era of Virtual Surgical Planning
by Marta María Pampín Martínez, Alessandro Gutiérrez Venturini, Jorge Guiñales Díaz de Cevallos, María Barajas Blanco, Iñigo Aragón Niño, Alvaro Moreiras Sánchez, José Luis del Castillo Pardo de Vera and José Luis Cebrián Carretero
Appl. Sci. 2022, 12(9), 4305; https://doi.org/10.3390/app12094305 - 24 Apr 2022
Cited by 2 | Viewed by 1924
Abstract
Virtual surgical planning allows orthognathic surgeons to design a surgical plan preoperatively and establish a personalized surgical protocol. This study aims to validate the predictability and accuracy of orthognathic surgery through a comparison of the three-dimensional (3D) models of the virtual planning and [...] Read more.
Virtual surgical planning allows orthognathic surgeons to design a surgical plan preoperatively and establish a personalized surgical protocol. This study aims to validate the predictability and accuracy of orthognathic surgery through a comparison of the three-dimensional (3D) models of the virtual planning and postoperative CBCT using free software (3D Slicer) on 40 patients who underwent bimaxillary orthognathic surgery. The distances of point A, point B, pogonion (Pog), and the first upper and lower molars, both in each axis (x, y, and z) and in the 3D space, were analyzed. The median of the distances in the mediolateral direction was the lowest, while the highest differences were found at point A and Pog in the anteroposterior direction (0.83 mm and 0.78 mm, respectively). Vertical differences were higher in the maxilla than in the mandible. In conclusion, we found that orthognathic bimaxillary surgery using virtual surgical planning was more accurate when positioning the bone segments in the mediolateral direction, using the information provided by the splint, as well as when positioning the mandible compared to the maxilla. Full article
(This article belongs to the Special Issue Computer Technologies in Oral and Maxillofacial Surgery)
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10 pages, 4762 KiB  
Article
Accuracy of the Provisional Prosthesis Scanning Techniqueversus a Conventional Impression Technique on Completely Edentulous Arches
by Chunui Lee, Shavkat Dusmukhamedov, Yi-Qin Fang, Seung-Mi Jeong and Byung-Ho Choi
Appl. Sci. 2021, 11(16), 7182; https://doi.org/10.3390/app11167182 - 04 Aug 2021
Cited by 1 | Viewed by 1485
Abstract
Purpose: In this study, we aimed to compare the marginal fit of fixed dental restorations fabricated with the provisional prosthesis scanning technique versus a conventional impression technique and to determine the effect of both variables on the accuracy outcome. Materials and Methods: Twelve [...] Read more.
Purpose: In this study, we aimed to compare the marginal fit of fixed dental restorations fabricated with the provisional prosthesis scanning technique versus a conventional impression technique and to determine the effect of both variables on the accuracy outcome. Materials and Methods: Twelve identical polyurethane edentulous maxillary models were equally divided into two groups: control (conventional impression group) and test (provisional prosthesis scanning group). After obtaining the impression using the above-mentioned methods and further preparing the final prosthesis, the passivity of the metal framework prosthesis was checked using a single screw test, i.e., only one screw was fixed on the terminal right abutment, and all others were empty. The marginal fit of the final prosthetic frameworks screwed onto the implants on the terminal left abutment was measured at the terminal right sight by periapical radiographs obtained immediately after metal framework placements in both groups. The medians derived from the two groups were compared using the Mann–Whitney test. In all tests, a p-value < 0.05 indicated statistical significance. Results: In the provisional prosthesis scanning group, the median marginal fit discrepancy was 170 µm (range 120–190). In the conventional impression group, the median marginal fit discrepancy was 1080 µm (range 1040–1100). There was a significant difference in the implant-framework marginal gap fit discrepancy between these two groups. Conclusion: Prostheses fabricated with the provisional prosthesis scanning technique are significantly more accurate than those fabricated with conventional impression techniques. Full article
(This article belongs to the Special Issue Computer Technologies in Oral and Maxillofacial Surgery)
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Review

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9 pages, 543 KiB  
Review
Evaluating the Checklist for Artificial Intelligence in Medical Imaging (CLAIM)-Based Quality of Reports Using Convolutional Neural Network for Odontogenic Cyst and Tumor Detection
by Van Nhat Thang Le, Jae-Gon Kim, Yeon-Mi Yang and Dae-Woo Lee
Appl. Sci. 2021, 11(20), 9688; https://doi.org/10.3390/app11209688 - 18 Oct 2021
Cited by 1 | Viewed by 2517
Abstract
This review aimed to explore whether studies employing a convolutional neural network (CNN) for odontogenic cyst and tumor detection follow the methodological reporting recommendations, the checklist for artificial intelligence in medical imaging (CLAIM). We retrieved the CNN studies using panoramic and cone-beam-computed tomographic [...] Read more.
This review aimed to explore whether studies employing a convolutional neural network (CNN) for odontogenic cyst and tumor detection follow the methodological reporting recommendations, the checklist for artificial intelligence in medical imaging (CLAIM). We retrieved the CNN studies using panoramic and cone-beam-computed tomographic images from inception to April 2021 in PubMed, EMBASE, Scopus, and Web of Science. The included studies were assessed according to the CLAIM. Among the 55 studies yielded, 6 CNN studies for odontogenic cyst and tumor detection were included. Following the CLAIM items, abstract, methods, results, discussion across the included studies were insufficiently described. The problem areas included item 2 in the abstract; items 6–9, 11–18, 20, 21, 23, 24, 26–31 in the methods; items 33, 34, 36, 37 in the results; item 38 in the discussion; and items 40–41 in “other information.” The CNN reports for odontogenic cyst and tumor detection were evaluated as low quality. Inadequate reporting reduces the robustness, comparability, and generalizability of a CNN study for dental radiograph diagnostics. The CLAIM is accepted as a good guideline in the study design to improve the reporting quality on artificial intelligence studies in the dental field. Full article
(This article belongs to the Special Issue Computer Technologies in Oral and Maxillofacial Surgery)
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Other

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12 pages, 10139 KiB  
Case Report
An Update of Eyeglasses-Supported Nasal–Facial Prosthetic Rehabilitation of Cancer Patients with Post-Surgical Complications: A Case Report
by Leonardo Ciocca, Nicolas Emiliani, Giulia Artuso, Lorenzo Breschi, Emanuela Marcelli and Laura Cercenelli
Appl. Sci. 2023, 13(8), 4944; https://doi.org/10.3390/app13084944 - 14 Apr 2023
Cited by 1 | Viewed by 1736
Abstract
This case report aims to describe novel steps in the digital design/manufacturing of facial prostheses for cancer patients with wide inoperable residual defects, with a focus on a case of a mid-facial defect. A facial scanner was used to make an impression of [...] Read more.
This case report aims to describe novel steps in the digital design/manufacturing of facial prostheses for cancer patients with wide inoperable residual defects, with a focus on a case of a mid-facial defect. A facial scanner was used to make an impression of the post-surgical residual defect and to digitalize it. The daughter’s face scan was used for reconstructing the missing anatomy. Using 3D printing technologies, try-in prototypes were produced in silicone material. The substructure was laser melted. The final prosthesis was relined directly onto the patient’s defect. The prosthesis resulted in a very low weight and a high elasticity of the external margins. The laser-melted substructure ensured the necessary rigidity with minimum thickness. Full article
(This article belongs to the Special Issue Computer Technologies in Oral and Maxillofacial Surgery)
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