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Objectives: To determine the accuracy of three-dimensional (3D) printed models fabricated from cone-beam computed tomography (CBCT) scans of human mandibular dry skulls in comparison with models derived from intraoral scanner (IOS) data.
Materials And Methods: Six human mandibular dry skulls were scanned by IOS and CBCT. Digital models (DMs) constructed from the IOS and CBCT data were fabricated physically using a 3D printer. The width and thickness of individual teeth and intercanine and molar widths were measured using a digital caliper. The accuracy of the DMs was compared between IOS and CBCT. Paired t-tests were used for intergroup comparisons.
Results: All intraclass correlation coefficient values for the three measurements (mesial-distal, buccal-lingual, width) exceeded 0.9. For the mandibular teeth, there were significant discrepancies in model accuracy between the IOS (average discrepancies of 0.18 ± 0.08 mm and 0.16 ± 0.12 mm for width and thickness, respectively) and CBCT (0.28 ± 0.07 mm for width, 0.37 ± 0.2 mm for thickness; P < .01). Intercanine (P = .38) and molar widths (P = .41) showed no significant difference between groups.
Conclusions: There was a statistically significant difference in the accuracy of DMs obtained from CBCT and IOS; however, this did not seem to result in any important clinical difference. CBCT could be routinely used as an orthodontic diagnostic tool and for appliance construction.
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http://dx.doi.org/10.2319/021122-128.1 | DOI Listing |
Front Dent Med
August 2025
School of Stomatology, Craniomaxillofacial Implant Research Center, Fujian Medical University, Fuzhou, Fujian, China.
Objective: Traditional gingival thickness (GT) assessment methods provide only point measurements or simple classifications, lacking spatial distribution information. This study aimed to develop a CBCT-based 3D visualization system for gingival thickness using deep learning, providing a novel spatial assessment tool for implant surgery planning.
Methods: CBCT and intraoral scanning (IOS) data from 50 patients with tooth loss were collected to establish a standardized dataset.
Clin Adv Periodontics
August 2025
Private Practice, Chuou-ku, Tokyo, Japan.
Background: Precise control of corticotomy lines is critical in surgically facilitated orthodontic therapy. The Suya method is traditionally performed freehand, which introduces risks of root damage and procedural inconsistency. A digitally guided protocol may address these limitations by enhancing safety and technical predictability.
View Article and Find Full Text PDFJ Dent
August 2025
Shanghai Perio-Implant Innovation Center, Institute for Integrated Oral, Craniofacial and Sensory Research, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; College of Stomatology, Shanghai Jiao Tong University, National Center of Stomatology, National Clin
Purpose: To present a novel digital method to evaluate dynamic computer-assisted implant surgery (dCAIS) accuracy comparing digital implant planning to real implant position.
Methods: Twenty patients in need of implant supported single unit-crowns (SUC), were consequently treated following a standardized digital protocol encompassing (1) a diagnostic digital intra-oral scan (IOS), (2) a cone beam computed tomography (CBCT), (3) 3D digital implant planning, (4) dynamic navigated implant placement (X-Guide, X-Nav Technologies, LLC, Lansdale, PA, USA) and (5) a post-operative IOS with the scan body in situ. Implant position accuracy was evaluated by superimposing the post-operative IOS with the pre-operative digital planning and calculating the resulting angular deviation (), global head deviation (mm) and global tip deviation (mm).
IEEE J Biomed Health Inform
July 2025
Tooth axes, indicating the orientation of teeth, are crucial in orthodontics and dental implants. The precise and automated estimation of tooth axes in 3D dental models is of significant importance. In clinical settings, Cone-beam computed tomography (CBCT) images and intraoral scanning (IOS) models are the two primary forms of digital data, providing 3D volumetric and surface information of the oral cavity, respectively.
View Article and Find Full Text PDFJ Dent Sci
July 2025
Aix-Marseille Univ, CNRS, EFS, ADES, Marseille, France.
In oral cancer therapies, surgery or radiotherapy frequently result to maxillary defects and limited mouth opening (LMO). For prosthetic rehabilitation, these sequelae present significant challenges to achieving accurate impressions. Intraoral scanners (IOS) are unsuitable due to the size of the scanner tips, while conventional impression techniques risk tearing during tray removal.
View Article and Find Full Text PDF