Effect of scan-path length on the scanning accuracy of completely dentate and partially edentulous maxillae

上颌骨 扫描仪 标准差 数学 口腔正畸科 牙槽 路径长度 计算机科学 医学 统计 物理 光学 人工智能
作者
Moritz Waldecker,Stefan Rues,Rouven Behnisch,Peter Rammelsberg,Wolfgang Bömicke
出处
期刊:Journal of Prosthetic Dentistry [Elsevier]
卷期号:131 (1): 146-154 被引量:16
标识
DOI:10.1016/j.prosdent.2022.02.016
摘要

Statement of problem The accuracy of fit of fixed partial dentures is directly dependent on the accuracy of a digital scan. However, the influence of scan-path length on scanning accuracy is unclear. Purpose The purpose of this in vitro study was to evaluate how scan-path length influenced the scanning accuracy of a completely dentate or partially edentulous maxilla captured by 3 intraoral scanners: Omnicam AC (OC), TRIOS 4 (TR), and Primescan (PS). Material and methods Each intraoral scanner was used to make 30 scans each of the 2 clinical scenarios (completely dentate and partially edentulous) simulated with a reference model. The partially edentulous model simulated a maxilla with 6 prepared teeth to support a complete arch fixed partial denture. The missing teeth were then added to create a completely dentate model. The prepared teeth were later used to determine distance, angular, and tooth-axis deviations between the reference model (digitized with high precision before the tests) and the intraoral scans. Data were statistically analyzed by using a linear model or, if not applicable, a type II ANOVA (α=.05). Results Distance deviations increased linearly as the scan-path length increased. In contrast, angular and tooth-axis deviations did not increase linearly. All types of deviation differed depending on the scanning system used. Regarding the 90% quantile values, total distance deviations related to scan-path length amounted to 1.31 μm/mm (OC), 1.00 μm/mm (PS), and 1.45 μm/mm (TR) for the completely dentate maxilla and 1.10 μm/mm (OC), 1.46 μm/mm (PS), and 1.40 μm/mm (TR) for the partially edentulous maxilla. Conclusions Distance deviations became larger as the scan-path length increased.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
Yxian发布了新的文献求助10
刚刚
legend发布了新的文献求助10
刚刚
Charon完成签到,获得积分10
1秒前
Hwenjing完成签到,获得积分10
1秒前
2秒前
单薄书蕾发布了新的文献求助10
3秒前
276868sxzz发布了新的文献求助10
3秒前
白熊完成签到 ,获得积分10
3秒前
Khalil发布了新的文献求助10
3秒前
一线忧思发布了新的文献求助10
4秒前
leilei发布了新的文献求助10
4秒前
songjiatian完成签到,获得积分10
5秒前
YUNI完成签到,获得积分10
5秒前
123发布了新的文献求助10
5秒前
5秒前
jxuexiong发布了新的文献求助10
6秒前
Owen应助炙热盼兰采纳,获得10
7秒前
二猫完成签到,获得积分10
8秒前
熊姣凤完成签到,获得积分10
8秒前
科研通AI6.1应助YUNI采纳,获得10
9秒前
丰富青文完成签到,获得积分10
9秒前
科研通AI2S应助俊逸寻菡采纳,获得10
9秒前
9秒前
量子星尘发布了新的文献求助10
9秒前
10秒前
量子星尘发布了新的文献求助10
10秒前
11秒前
11秒前
11秒前
12秒前
12秒前
负责的调料汁完成签到,获得积分10
12秒前
贪玩钢铁侠完成签到,获得积分10
12秒前
13秒前
14秒前
14秒前
昏睡的嵩应助佰斯特威采纳,获得50
15秒前
一线忧思完成签到,获得积分10
15秒前
David发布了新的文献求助10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Encyclopedia of Quaternary Science Reference Third edition 6000
Encyclopedia of Forensic and Legal Medicine Third Edition 5000
Introduction to strong mixing conditions volume 1-3 5000
Aerospace Engineering Education During the First Century of Flight 3000
Agyptische Geschichte der 21.30. Dynastie 3000
Les Mantodea de guyane 2000
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5784063
求助须知:如何正确求助?哪些是违规求助? 5680443
关于积分的说明 15462954
捐赠科研通 4913367
什么是DOI,文献DOI怎么找? 2644620
邀请新用户注册赠送积分活动 1592452
关于科研通互助平台的介绍 1547078