Scan accuracy of recently introduced wireless intraoral scanners in different fixed partial denture situations.

J Dent

Department of Reconstructive Dentistry and Gerodontology, University of Bern, Bern, Switzerland;; Department of Prosthetic Dentistry and Material Science, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.

Published: January 2025

AI Article Synopsis

  • The study aimed to compare the accuracy of new wireless intraoral scanners (IOSs) with traditional wired IOSs in different scenarios related to fixed partial dentures (FPDs).
  • Models of partially edentulous maxillae were scanned using both types of scanners and results were analyzed against reference scans to measure trueness and precision.
  • Findings revealed that while the wireless IOSs showed good accuracy, wired IOSs outperformed in certain metrics, particularly in angular and interimplant distance measurements, with higher inaccuracies noted in posterior FPDs.

Article Abstract

Objective: To compare the in vitro scan accuracy (trueness and precision) of recently introduced wireless intraoral scanners (IOSs) to commonly used wired IOSs in different fixed partial denture (FPD) situations.

Methods: Three partially edentulous maxillary models with implants located at different sites (lateral incisors [Model 1]; right canine and first molar [Model 2]; right first premolar and first molar [Model 3]) were digitized with wireless (Primescan 2 [P2] and TRIOS 5 [T5]) and wired (Primescan [P1] and TRIOS 3 [T3]) IOSs (n=14 per IOS-model pair). The models were also digitized with an industrial-grade optical scanner for their reference scans. The IOS scans were superimposed over the reference scans to evaluate the 3D distance, angular, and 2D interimplant distance deviations (trueness). The variance of measured deviations was defined as the precision and all data were analyzed with bootstrap analysis of variance and Holm-corrected Welch tests (α = 0.05).

Results: The IOS, FPD situation, and their interaction affected the scan accuracy (P < 0.001). P2 scans mostly had the highest and the scans of Model 2 mostly had the lowest 3D distance accuracy (P ≤ 0.030). P1 scans had the highest angular accuracy within each model, followed by the P2 scans in Models 1 and 2 (P ≤ 0.002). P1 scans mostly had higher 2D interimplant distance accuracy (P ≤ 0.047).

Conclusions: Digital impressions of tested FPD situations had high accuracy mostly with P1 and P2. The scans for a posterior 4-unit FPD might have higher inaccuracies, regardless of the tested IOSs.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jdent.2025.105558DOI Listing

Publication Analysis

Top Keywords

scan accuracy
12
scans
9
introduced wireless
8
wireless intraoral
8
intraoral scanners
8
fixed partial
8
partial denture
8
molar [model
8
reference scans
8
interimplant distance
8

Similar Publications

Purpose: The long scan times of quantitative MRI techniques make motion artifacts more likely. For MR-Fingerprinting-like approaches, this problem can be addressed with self-navigated retrospective motion correction based on reconstructions in a singular value decomposition (SVD) subspace. However, the SVD promotes high signal intensity in all tissues, which limits the contrast between tissue types and ultimately reduces the accuracy of registration.

View Article and Find Full Text PDF

Background: The diagnosis of chronic rhinosinusitis (CRS) is a crucial and challenging entity in bone marrow transplantation candidates. We aimed to evaluate the diagnostic accuracy of the Sino-Nasal Outcome Test (SNOT-22) and Lund-Kennedy endoscopic score for the diagnosis of CRS in bone marrow transplantation candidates.

Materials And Methods: We conducted a single-center, observational study evaluating bone marrow transplantation candidates by paranasal sinus computed tomography (CT) scan without contrast to measure the Lund Mackay score.

View Article and Find Full Text PDF

An optimized support vector machine for lung cancer classification system.

Front Oncol

December 2024

Honorary Research Associate, Department of Operations and Quality Management, Durban University of Technology, Durban, South Africa.

Introduction: Lung cancer is one of the main causes of the rising death rate among the expanding population. For patients with lung cancer to have a higher chance of survival and fewer deaths, early categorization is essential. The goal of thisresearch is to enhance machine learning to increase the precision and quality of lung cancer classification.

View Article and Find Full Text PDF

Objective: The aim of the study is to assess the diagnostic accuracy of 4-dimensional computed tomography (4D-CT) scans for patients with primary hyperparathyroidism (pHPT) after negative or inconclusive Technetium-99m sestamibi single-photon emission computed tomography scan.

Methods: A literature search of several databases was conducted from inception to August 2023. Eligible studies reported adult patients (>18 years old) who underwent 4D-CT after negative or inconclusive sestamibi results.

View Article and Find Full Text PDF

Objective: Patient characteristics, iodine injection, and scanning parameters can impact the quality and consistency of contrast enhancement of hepatic parenchyma in CT imaging. Improving the consistency and adequacy of contrast enhancement can enhance diagnostic accuracy and reduce clinical practice variability, with added positive implications for safety and cost-effectiveness in the use of contrast medium. We developed a clinical tool that uses patient attributes (height, weight, sex, age) to predict hepatic enhancement and suggest alternative injection/scanning parameters to optimize the procedure.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!