Improved scanning accuracy with newly designed scan bodies: An in vitro study comparing digital versus conventional impression techniques for complete‐arch implant rehabilitation

扫描仪 印象 植入 计算机辅助设计 邦费罗尼校正 拱门 牙种植体 核医学 口腔正畸科 生物医学工程 计算机科学 数学 牙科 医学 工程制图 人工智能 外科 工程类 结构工程 统计 万维网
作者
Ruoxuan Huang,Yuanxiang Liu,Baoxin Huang,Chaobiao Zhang,Zhuofan Chen,Zhipeng Li
出处
期刊:Clinical Oral Implants Research [Wiley]
卷期号:31 (7): 625-633 被引量:41
标识
DOI:10.1111/clr.13598
摘要

To compare the accuracy of an original and two newly designed CAD/CAM scan bodies used in digital impressions with one another as well as conventional implant impressions.A reference model containing four implants was fabricated. Digital impressions were taken using an intraoral scanner with different scan bodies: original scan bodies for Group I (DO), CAD/CAM scan bodies without extensional structure for Group II (DC), and CAD/CAM scan bodies with extensional structure for Group III (DCE). For Group IV, conventional splinted open-tray impressions (CI) were taken. The reference model and conventional stone casts were digitalized with a laboratory reference scanner. The Standard Tessellation Language datasets were imported into an inspection software for trueness and precision assessment. Statistical analysis was performed with a Kruskal-Wallis test and Dunn-Bonferroni test. The level of significance was set at α = .05.The median of trueness was 35.85, 38.50, 28.45, and 25.55 μm for Group I, II, III, and IV, respectively. CI was more accurate than DO (p = .015) and DC (p = .002). The median of precision was 48.40, 48.90, 27.30, and 19.00 for Group I, II, III, and IV, respectively. CI was more accurate than DO (p < .001), DC (p < .001), and DCE (p = .007). DCE was more accurate than DC (p < .001) and DO (p < .001).The design of the extensional structure could significantly improve scanning accuracy. Conventional splinted open-tray impressions were more accurate than digital impressions for full-arch implant rehabilitation.

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
1秒前
1秒前
1秒前
完美世界应助土豪的糜采纳,获得10
1秒前
3秒前
SciGPT应助外向若颜采纳,获得30
3秒前
Yogita完成签到,获得积分0
4秒前
4秒前
5秒前
5秒前
全小将完成签到,获得积分10
6秒前
fhb完成签到,获得积分20
6秒前
6秒前
王诗语发布了新的文献求助10
6秒前
7秒前
糕点院士完成签到,获得积分10
8秒前
半壶月色半边天完成签到 ,获得积分10
8秒前
爆米花应助晓宇采纳,获得10
9秒前
YY1023发布了新的文献求助10
9秒前
GL发布了新的文献求助10
9秒前
polite完成签到,获得积分10
9秒前
bin完成签到,获得积分10
10秒前
10秒前
李健的粉丝团团长应助Wlin采纳,获得10
11秒前
阿拉发布了新的文献求助10
11秒前
11秒前
大力的灵雁应助Hoshino采纳,获得70
12秒前
13秒前
star完成签到 ,获得积分10
14秒前
CodeCraft应助高兴jin采纳,获得10
14秒前
15秒前
小橘子完成签到,获得积分10
16秒前
DF发布了新的文献求助10
16秒前
lsy完成签到,获得积分10
17秒前
科研通AI6.3应助GL采纳,获得10
18秒前
Jzag完成签到 ,获得积分10
19秒前
2425发布了新的文献求助10
19秒前
fhb发布了新的文献求助10
21秒前
21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
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6018327
求助须知:如何正确求助?哪些是违规求助? 7606399
关于积分的说明 16158938
捐赠科研通 5165921
什么是DOI,文献DOI怎么找? 2765127
邀请新用户注册赠送积分活动 1746656
关于科研通互助平台的介绍 1635331