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Diagnostics
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Advances in Oral and Maxillofacial Radiology
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Advances in Oral and Maxillofacial Radiology

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

Deadline for manuscript submissions: 31 July 2024 | Viewed by 1702

Special Issue Editors

Prof. Dr. Danisia Haba

E-Mail Website
Guest Editor
Department of Oral and Maxillofacial Surgery, Faculty of Dental Medicine, “Gr. T. Popa” University of Medicine and Pharmacy, 16 Universitatii Str., 700115 Iasi, Romania
Interests: tumors; imaging; CBCT; CT; diagnostic radiology; brain tumors; dynamic contrast-enhanced MRI; oral, head, and neck cancer; head and neck radiology; head and neck neoplasms
Dr. Alexandru Nemţoi

E-Mail Website
Guest Editor
Department of Biomedical Sciences, Faculty of Medicine and Biological Sciences, “Stefan cel Mare” University, 13 Universitatii Str., 720229 Suceava, Romania
Interests: oral and maxillofacial surgery; tissue regeneration; radiology; oral implantology; anatomy
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In recent years, many new technologies and applications of oral and maxillofacial radiology have emerged. The main purpose of this evolution was to develop accessible digital imaging diagnostic systems with minimal irradiation. Additionally, the design of programs used to simulate treatment plans has improved dental medical services. Oral and maxillofacial imaging offers advantages in terms of improved diagnoses and treatment quality.

Artificial intelligence (AI) has started to play an especially important role, as many original research reports have been published to describe its various applications, such as disease diagnosis and surgical planning.

The 3D imaging and modalities involving ionizing (e.g., CT and CBCT) and non-ionizing radiation (e.g., MRI and ultrasound) are continuing to develop and take on more important roles in clinical practice than before.

This Special Issue will be dedicated to review and original articles, emphasizing the involvement of current imaging techniques in oral and maxillofacial radiology for diagnosis, planning, treatment, as well as in potential innovative research.

Prof. Dr. Danisia Haba
Dr. Alexandru Nemţoi
Guest Editors

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. 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

  • oral and maxillofacial radiology
  • dental medical services
  • artificial intelligence (AI)
  • 3D imaging
  • CT
  • CBCT
  • MRI
  • ultrasound

Published Papers (3 papers)

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Research

11 pages, 4258 KiB  
Article
Pre- and Post-Operative Cone Beam Computed Tomography Assessment of the Temporomandibular Joint in Patients with Orthognathic Surgery
by Thomas J. Vogl, Wael Zyada, Rania Helal, Nagy N. Naguib, Neelam Lingwal and Nour-Eldin A. Nour-Eldin
Diagnostics 2024, 14(13), 1389; https://doi.org/10.3390/diagnostics14131389 (registering DOI) - 29 Jun 2024
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Abstract
This study aimed to compare the pre- and post-operative temporomandibular joint (TMJ) condylar position in dentofacial deformity (DFD) patients who had orthognathic surgeries using cone beam computed tomography (CBCT). A retrospective study evaluating the pre- and post-operative CBCT for 79 DFD patients (equivalent [...] Read more.
This study aimed to compare the pre- and post-operative temporomandibular joint (TMJ) condylar position in dentofacial deformity (DFD) patients who had orthognathic surgeries using cone beam computed tomography (CBCT). A retrospective study evaluating the pre- and post-operative CBCT for 79 DFD patients (equivalent to 158 TMJs) (mean age = 26.62 ± 9.5 years) with a bilateral sagittal split osteotomy with or without Le Fort I surgeries (n = 29 Class II DFD, n = 50 Class III DFD) was performed. This included the compartmental measurement of TMJ spaces, in addition to the measurement of intercondylar distances and angles. Condylar position centricity was assessed using the Pullinger and Hollender formula. Clinical data were analysed for DFD class, the type of surgery and post-operative CBCT timing. Pre- and post-operative measurements were compared statistically using a paired t-test, Wilcoxon signed-rank test, and Stuart–Maxwell test. TMJ condyles tended to relocate post-operatively in a posterosuperior position with internal rotation in Class II DFD and a superior position with internal rotation in Class III DFD. However, the overall changes were within <0.5 mm translation and <4° rotation and the number of concentrically positioned condyles (according to the Pullinger and Hollender formula) did not change significantly. Orthognathic surgery is associated with minor post-operative translational and rotational condylar positional changes in Class II and III DFDs. Full article
(This article belongs to the Special Issue Advances in Oral and Maxillofacial Radiology)
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14 pages, 1740 KiB  
Article
The Impact of AI on Metal Artifacts in CBCT Oral Cavity Imaging
by Róża Wajer, Adrian Wajer, Natalia Kazimierczak, Justyna Wilamowska and Zbigniew Serafin
Diagnostics 2024, 14(12), 1280; https://doi.org/10.3390/diagnostics14121280 - 17 Jun 2024
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Abstract
Objective: This study aimed to assess the impact of artificial intelligence (AI)-driven noise reduction algorithms on metal artifacts and image quality parameters in cone-beam computed tomography (CBCT) images of the oral cavity. Materials and Methods: This retrospective study included 70 patients, 61 of [...] Read more.
Objective: This study aimed to assess the impact of artificial intelligence (AI)-driven noise reduction algorithms on metal artifacts and image quality parameters in cone-beam computed tomography (CBCT) images of the oral cavity. Materials and Methods: This retrospective study included 70 patients, 61 of whom were analyzed after excluding those with severe motion artifacts. CBCT scans, performed using a Hyperion X9 PRO 13 × 10 CBCT machine, included images with dental implants, amalgam fillings, orthodontic appliances, root canal fillings, and crowns. Images were processed with the ClariCT.AI deep learning model (DLM) for noise reduction. Objective image quality was assessed using metrics such as the differentiation between voxel values (ΔVVs), the artifact index (AIx), and the contrast-to-noise ratio (CNR). Subjective assessments were performed by two experienced readers, who rated overall image quality and artifact intensity on predefined scales. Results: Compared with native images, DLM reconstructions significantly reduced the AIx and increased the CNR (p < 0.001), indicating improved image clarity and artifact reduction. Subjective assessments also favored DLM images, with higher ratings for overall image quality and lower artifact intensity (p < 0.001). However, the ΔVV values were similar between the native and DLM images, indicating that while the DLM reduced noise, it maintained the overall density distribution. Orthodontic appliances produced the most pronounced artifacts, while implants generated the least. Conclusions: AI-based noise reduction using ClariCT.AI significantly enhances CBCT image quality by reducing noise and metal artifacts, thereby improving diagnostic accuracy and treatment planning. Further research with larger, multicenter cohorts is recommended to validate these findings. Full article
(This article belongs to the Special Issue Advances in Oral and Maxillofacial Radiology)
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14 pages, 1406 KiB  
Article
Relationship of Maxillary Sinus Volume and Nasal Septum Deviation: A Cone Beam Computed Tomography Study
by Amanda B. Rodriguez Betancourt, Leidy J. Martinez Somoza, Carlos Romero Mesa, Tolga Fikret Tozum, Carlos Fernando Mourão, Jamil Awad Shibli and Lina J. Suárez
Diagnostics 2024, 14(6), 647; https://doi.org/10.3390/diagnostics14060647 - 19 Mar 2024
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Abstract
The present study was designed to test the hypothesis that there would be a correlation between nasal septum deviation (NSD) and a decreased maxillary sinus volume (MSV) in a Colombian population, using Cone Beam Computed Tomography (CBCT); other sinusal anatomical structures found during [...] Read more.
The present study was designed to test the hypothesis that there would be a correlation between nasal septum deviation (NSD) and a decreased maxillary sinus volume (MSV) in a Colombian population, using Cone Beam Computed Tomography (CBCT); other sinusal anatomical structures found during the reading were described and analyzed. A retrospective analysis of 537 CBCT scans of adult patients taken between January 2014 and January 2017 included measuring the maxillary sinus diameter in the vertical, horizontal, and sagittal planes. NSD was quantified and related to MSV using the same field of view (FOV). The volume of the right and left maxillary sinuses showed a median and interquartile range (IQR) of 8.18 mm3 (IQR: 6.2–10.33) and 8.3 mm3 (IQR: 6.4–10.36). Statistically significant differences were observed between sex and right and left MSV (p = 0.000), with higher MSV in men. The presence of NSD was observed in 96.81% of the sample and was evaluated in degrees, observing a median of 11° (IQR: 7–16) where 40% of the sample had moderate angles (9–15°). There was no correlation between NSD and a decreased MSV in the population studied. Detailed CBCT analysis with a large FOV is crucial for the analysis of anatomical structures before performing surgical procedures that involve the MS as a preventive diagnostic and therapeutic step for appropriate treatment. Full article
(This article belongs to the Special Issue Advances in Oral and Maxillofacial Radiology)
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