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Clinical Advances in Oral Maxillofacial Surgery
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Clinical Advances in Oral Maxillofacial Surgery

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "General Surgery".

Deadline for manuscript submissions: closed (30 March 2024) | Viewed by 5313

Special Issue Editor

Dr. Ali Farid Safi

E-Mail Website
Guest Editor
Craniologicum, Center for Craniomaxillofacial Surgery, Marktgasse 24, 3011 Bern, Switzerland
Interests: oral and craniomaxillofacial plastic surgery
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

I am pleased to introduce our newest Special Issue, "Clinical Advances in Oral Maxillofacial Surgery". This collection seeks to explore and shed light on the most recent breakthroughs and evolutions in the field of oral and maxillofacial surgery.

Oral and maxillofacial surgery represents a crucial intersection of art and science in healthcare, offering hope and enhanced quality of life to countless numbers of patients each year. Recently, technological advancements, cutting-edge research, and novel therapeutic strategies have opened new horizons in this dynamic field. This field's breadth ranges from the surgical management of oral cancer, cleft lip and palate, and craniofacial trauma, to non-surgical treatments for TMJ disorders and obstructive sleep apnea.

Our aim with this Special Issue is to create a comprehensive, illuminating, and relevant compendium that would aid practicing surgeons, scholars, and students in understanding the latest developments and techniques in this diverse field.

We encourage you to delve into the nuances of this rapidly evolving field, share your expertise and insights, and thereby contribute to shaping the future of oral and maxillofacial surgery. Your submissions will not only inform your peers about the most recent developments but also inspire future breakthroughs in patient care.

Thank you in advance for considering this important endeavor. Your scholarly contribution will undoubtedly play a pivotal role in enhancing the body of knowledge related to oral and maxillofacial surgery.

Dr. Ali Farid Safi
Guest Editor

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 Clinical Medicine 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

  • oral and maxillofacial surgery
  • oral cancer
  • cleft lip and palate
  • craniofacial trauma
  • TMJ disorders

Published Papers (3 papers)

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Research

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11 pages, 5394 KiB  
Article
An Algorithm for Jaw Pain among Divers
by Angelo Vivacqua, Kathleen Fan, Alexander Gürtler, Florian M. Thieringer and Britt-Isabelle Berg
J. Clin. Med. 2024, 13(11), 3167; https://doi.org/10.3390/jcm13113167 - 28 May 2024
Viewed by 287
Abstract
Background: Temporomandibular disease (TMD) is commonly seen, and divers also experience pain in the temporomandibular joint (TMJ) or masticatory muscles. This article aims to provide a tool for diving physicians or medical professionals involved in diving medicine since jaw pain among divers is [...] Read more.
Background: Temporomandibular disease (TMD) is commonly seen, and divers also experience pain in the temporomandibular joint (TMJ) or masticatory muscles. This article aims to provide a tool for diving physicians or medical professionals involved in diving medicine since jaw pain among divers is a pertinent subject and can be challenging to evaluate without some background in dentistry or maxillofacial surgery. Method: A basic algorithm was developed to provide a tool to differentiate jaw pains experienced by divers. Three brief case studies were developed, and five diving physicians were tasked with diagnosing the cases using the algorithm. Additionally, simple exercises and massage techniques that can benefit patients with TMD, particularly immediately after diving, are outlined. Results: All five diving physicians successfully diagnosed the cases using the algorithm. However, three of them were unable to diagnose the first case (disc luxation) without consulting the algorithm. Nevertheless, all physicians acknowledged the utility of the algorithm. Conclusions: Jaw pain in divers can stem from diverse causes, but effective treatment options exist. Our study findings provide valuable insights to assist diving physicians in making accurate diagnoses and guiding appropriate patient management, which may include referrals to specialists such as dentists, maxillofacial surgeons, or orthodontists. Full article
(This article belongs to the Special Issue Clinical Advances in Oral Maxillofacial Surgery)
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15 pages, 9834 KiB  
Article
The Zygomatic Anatomy-Guided Approach, Zygomatic Orbital Floor Classification, and ORIS Criteria—A 10-Year Follow-Up
by Rafal Zielinski, Jakub Okulski, Wojciech Simka and Marcin Kozakiewicz
J. Clin. Med. 2023, 12(20), 6681; https://doi.org/10.3390/jcm12206681 - 23 Oct 2023
Cited by 1 | Viewed by 1612
Abstract
Background: Presently, the management of patients with maxilla bone defects of the Cawood V or VI class is achieved using zygomatic or individual implants or through augmentation of the bone. For zygomatic implants, the ORIS criteria represent the most common factor in helping [...] Read more.
Background: Presently, the management of patients with maxilla bone defects of the Cawood V or VI class is achieved using zygomatic or individual implants or through augmentation of the bone. For zygomatic implants, the ORIS criteria represent the most common factor in helping practitioners register success rates. The zygomatic anatomy-guided approach (ZAGA)and zygomatic orbital floor (ZOF) are factors that are crucial to examining the anatomy of a particular patient before the procedure. The aim of thisarticle is to find the statistical relationship between the abovementioned terms and other factors. Methods: A total of 81 patients underwent zygomatic implant procedures in different configurations. The ORIS, ZAGA, and ZOF parameters were compared with other factors such as type of surgery, sex, age, and the anatomy of the zygomatic bone. Results: Most patients in this article were classified as ZAGA Class 2. The relationships between type of surgery and ZAGA classification, and ZAGA and sinus/maxilla zygomatic implant localization were statistically significant. Conclusions: The ZAGA and ZOF scales are practical and valuable factors that should be taken into account before surgery, whereas to date, criteria better than the ORIS scale have not been described in terms of the success of zygomatic implants. The ZOF scale might omit perforation of the orbit because this parameter warns a practitioner to be aware of the anatomy of the orbit. Full article
(This article belongs to the Special Issue Clinical Advances in Oral Maxillofacial Surgery)
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Review

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13 pages, 1317 KiB  
Review
Face the Future—Artificial Intelligence in Oral and Maxillofacial Surgery
by Maximilian F. Miragall, Samuel Knoedler, Martin Kauke-Navarro, Rakan Saadoun, Alex Grabenhorst, Florian D. Grill, Lucas M. Ritschl, Andreas M. Fichter, Ali-Farid Safi and Leonard Knoedler
J. Clin. Med. 2023, 12(21), 6843; https://doi.org/10.3390/jcm12216843 - 30 Oct 2023
Cited by 6 | Viewed by 3083
Abstract
Artificial intelligence (AI) has emerged as a versatile health-technology tool revolutionizing medical services through the implementation of predictive, preventative, individualized, and participatory approaches. AI encompasses different computational concepts such as machine learning, deep learning techniques, and neural networks. AI also presents a broad [...] Read more.
Artificial intelligence (AI) has emerged as a versatile health-technology tool revolutionizing medical services through the implementation of predictive, preventative, individualized, and participatory approaches. AI encompasses different computational concepts such as machine learning, deep learning techniques, and neural networks. AI also presents a broad platform for improving preoperative planning, intraoperative workflow, and postoperative patient outcomes in the field of oral and maxillofacial surgery (OMFS). The purpose of this review is to present a comprehensive summary of the existing scientific knowledge. The authors thoroughly reviewed English-language PubMed/MEDLINE and Embase papers from their establishment to 1 December 2022. The search terms were (1) “OMFS” OR “oral and maxillofacial” OR “oral and maxillofacial surgery” OR “oral surgery” AND (2) “AI” OR “artificial intelligence”. The search format was tailored to each database’s syntax. To find pertinent material, each retrieved article and systematic review’s reference list was thoroughly examined. According to the literature, AI is already being used in certain areas of OMFS, such as radiographic image quality improvement, diagnosis of cysts and tumors, and localization of cephalometric landmarks. Through additional research, it may be possible to provide practitioners in numerous disciplines with additional assistance to enhance preoperative planning, intraoperative screening, and postoperative monitoring. Overall, AI carries promising potential to advance the field of OMFS and generate novel solution possibilities for persisting clinical challenges. Herein, this review provides a comprehensive summary of AI in OMFS and sheds light on future research efforts. Further, the advanced analysis of complex medical imaging data can support surgeons in preoperative assessments, virtual surgical simulations, and individualized treatment strategies. AI also assists surgeons during intraoperative decision-making by offering immediate feedback and guidance to enhance surgical accuracy and reduce complication rates, for instance by predicting the risk of bleeding. Full article
(This article belongs to the Special Issue Clinical Advances in Oral Maxillofacial Surgery)
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