State of the Art in Oral Radiology

A special issue of Dentistry Journal (ISSN 2304-6767).

Deadline for manuscript submissions: 30 March 2026 | Viewed by 1647

Special Issue Editors


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Guest Editor
Department of Radiology, Faculty of Medicine, Medical University of Gdańsk, 17 Smoluchowskiego Street, 80-214 Gdańsk, Poland
Interests: diagnostic imaging; MRI; CT; US; oncology; minimally invasive procedure
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Guest Editor
Department of Oral Surgery, Faculty of Medicine, Medical University of Gdańsk, 7 Dębinki Street, 80-210 Gdańsk, Poland
Interests: oral surgery; oral squamous cell carcinoma; cone beam computed tomography; CBCT; implantology; surgical guides

Special Issue Information

Dear Colleagues,

Dentistry and oral surgery today are always accompanied by radiology and other diagnostic imaging methods. Almost every therapeutic procedure requires initial diagnostics, which should be based on classical X-ray diagnostics using radiovisiography and orthopantomography. Other key methods in this field include cone beam computed tomography, which provides three-dimensional diagnosis and is necessary for accurate treatment planning.

The combination of three-dimensional radiology with intraoral scanning technology enables treatment planning in a completely digital way. This allows the use of guides for increasingly more dental procedures (endodontics, endodontic microsurgery, dental surgery, and implantology, with particular emphasis on full arch approach restorations), which can be performed minimally invasively, with respect to tissue biology and with a reduction in the occurrence of postoperative complications.

Looking to the future, dental radiology will form the basis for the development of new diagnostic and therapeutic tools, e.g., dynamic navigation or AI planning.

Computed tomography, magnetic resonance imaging, and ultrasonography play a pivotal role especially in oral oncology. Increasingly better imaging of the craniofacial space by 3D MRI or MDCT scanning is related to the better staging and treatment of pathological processes. There is also a place for image-guided minimally invasive procedures.

This Special Issue entitled 'State of the Art in Oral Radiology' will be dedicated to original papers and review articles, emphasizing the involvement of current diagnostic imaging methods in oral radiology for the diagnosis, planning, and treatment of reconstructive surgery and pathological lesions.

Prof. Dr. Michał Studniarek
Dr. Paulina Adamska
Guest Editors

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 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 radiology
  • digital radiography
  • 3D imaging
  • CT and CBCT
  • invasive procedures
  • MRI
  • ultrasound
  • digital dentistry
  • dental scans
  • 3D printing
  • implant guides
  • surgical guides
  • bone segmentation
  • individual implants
  • oral oncology

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Published Papers (1 paper)

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Research

37 pages, 3948 KB  
Article
Evaluating the Test Characteristics of a Prototype for AI-Assisted Radiographic Detection
by Rohit Kunnath Menon
Dent. J. 2026, 14(2), 96; https://doi.org/10.3390/dj14020096 - 9 Feb 2026
Viewed by 286
Abstract
Background/Objectives: It is essential to test the accuracy of artificial intelligence-assisted tools that detect dental pathologies from radiographs. This study aimed to evaluate the test characteristics of an artificial intelligence-assisted convolutional neural network-based prototype used for automated radiographic detection. Methods: A total of [...] Read more.
Background/Objectives: It is essential to test the accuracy of artificial intelligence-assisted tools that detect dental pathologies from radiographs. This study aimed to evaluate the test characteristics of an artificial intelligence-assisted convolutional neural network-based prototype used for automated radiographic detection. Methods: A total of 300 panoramic and 100 intraoral periapical radiographs were collected between January 2020 and 2024 and then analyzed by two trained, independent specialist evaluators. The diagnostic consensus, “ground truth”, was labeled as follows: BL: bone loss; C: caries; F: filling; I: implants; IT: impacted teeth; P: prosthesis; PC: post-core; PR: periapical radiolucency; RF: root fillings; and RR: retained roots. The radiographs were uploaded to the prototype, and the results were compared. Sensitivity, specificity, positive predictive value, and negative predictive value were calculated using Stata version 15.0 (StataCorp). Results: Overall, most of the outcomes demonstrated sensitivity greater than 82%, with values ranging from 66.41% (65.47,67.36) for BL to 100% (100.00,100.00) for I. For all outcomes, specificity was greater than 93%, with values ranging from 93.61% (93.12,94.10) for BL to 100% for I. The overall values for all the test characteristics for the periapical radiographs were above 85%. The key errors identified in the qualitative analysis were errors in tooth identification, failure to detect recurrent caries under fillings and crowns, impacted canines, and inaccurate identification of extensive fillings as crowns. Conclusions: The prototype demonstrated high sensitivity and specificity in identifying dental pathologies. Accuracy in identifying bone loss, teeth that have migrated, including impacted canines, secondary caries, and differentiating extensive fillings from crowns requires further improvement. Full article
(This article belongs to the Special Issue State of the Art in Oral Radiology)
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