Objective: To evaluate the precision of digital impressions taken under simulated clinical impression taking conditions with TRIOS and to compare with the precision of extraoral digitalizations.
Methods: Six #14-#17 epoxy resin dentitions with extracted #16 tooth preparations embedded were made. For each artificial dentition, (1)a silicone rubber impression was taken with individual tray, poured with type IV plaster,and digitalized with 3Shape D700 model scanner for 10 times; (2) fastened to a dental simulator, 10 digital impressions for each were taken with 3Shape TRIOS intraoral scanner. To assess the precision, best-fit algorithm and 3D comparison were conducted between repeated scan models pairwise by Geomagic Qualify 12.0, exported as averaged errors (AE) and color-coded diagrams. Non-parametric analysis was performed to compare the precisions of digital impressions and model images. The color-coded diagrams were used to show the deviations distributions.
Results: The mean of AE for digital impressions was 7.058 281 μm, which was greater than that of 4.092 363 μm for the model images (P<0.05). However, the means and medians of AE for digital impressions were no more than 10 μm, which meant that the consistency between the digital impressions was good. The deviations distribution was uniform in the model images,while nonuniform in the digital impressions with greater deviations lay mainly around the shoulders and interproximal surfaces.
Conclusion: Digital impressions with TRIOS are of good precision and up to the clinical standard. Shoulders and interproximal surfaces scanning are more difficult.
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J Adv Prosthodont
December 2024
[This corrects the article on p. 302 in vol. 16, PMID: 39512875.
View Article and Find Full Text PDFCureus
December 2024
Prosthodontics, SRM Kattankulathur Dental College and Hospital, SRM Institute of Science and Technology, Chengalpattu, IND.
Background and objective Alveolar ridge defects in partially edentulous patients present significant challenges in prosthodontic treatment planning. Seibert's classification system provides a structured approach to categorizing these defects based on the buccolingual and apico-coronal dimensions of the ridge. Accurate classification is crucial for determining appropriate treatment strategies for implant placement, fixed prosthesis, or tissue augmentation.
View Article and Find Full Text PDFJ Pain Res
January 2025
Sword Health, Inc, Draper, Utah, USA.
Background: Obesity is a known risk factor and aggravator of musculoskeletal (MSK) conditions. The rising prevalence of obesity calls for scalable solutions to address MSK conditions in this population, given their complex clinical profile and barriers to accessing care.
Purpose: To evaluate the engagement and clinical outcomes of a fully remote digital care program in patients with MSK conditions, focusing on those with and without comorbid obesity.
J Clin Med
December 2024
Dental Unit, Department of Surgical Sciences (DISC), University of Genoa, 16132 Genova, Italy.
The aim of this study was to systematically revise the state of art of the accuracy of digital and conventional impressions in clinical full-arch scenarios. Electronic and manual searches were conducted up to December 2024. Only trials comparing the accuracy of digital versus conventional impressions were selected by two independent reviewers.
View Article and Find Full Text PDFCureus
December 2024
Department of Prosthetic Dental Sciences, College of Dentistry, Jouf University, Sakaka, SAU.
Introduction: In contemporary clinical settings, three-dimensional (3D) models have become an integral component of daily practice. Photogrammetry, a novel method in clinical practice, enables the creation of precise 3D models from small objects while maintaining their original shape and size.
Aim: To evaluate the accuracy and reliability of digital models (DM) generated using photogrammetry techniques compared to traditional gypsum models (GM) and to investigate the feasibility of utilizing free software for processing and manipulating digital dental models.
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