[基于摄影测量的无牙种植体口腔外扫描系统的开发和准确性评估]。

Q4 Medicine
Y T Yang, A N Wen, X Y Shang, S Y Shan, W B Li, Q Z Qin, Z X Gao, Y J Zhu, Y Wang, Y J Zhao
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引用次数: 0

摘要

目的:评价自行研制的基于摄影测量技术的口腔外扫描系统的准确性,为推进国产扫描设备的研制和临床应用评价提供依据。方法:本课题组开发了一种基于摄影测量的口腔外种植体扫描系统。由北京大学口腔医学院数字牙科中心设计并三维打印两种不同的无牙种植树脂模型,分别包含6个(模型1)和8个(模型2)基牙类似物。参考数据采集使用高精度义齿3D扫描仪,扫描帽安装在模拟物上。然后将专门的扫描体安装在类似物上,使用自行开发的系统(实验组)和临床建立的系统(对照组)进行3D位置数据采集。每个系统对每个模型进行10次重复扫描。通过相对于参考数据的均方根误差(RMSE)、线性偏差(LD)和角偏差(AD)来评估准确性,而通过组内RMSE分析来确定精度。系统比较包括相同模型的组间表现和不同模型的组内变异性。结果:在模型1中,实验组的组内RMSE[(3.10±0.71)μm vs.(4.61±1.51)μm, Pvs)较对照组有统计学上的优势。(32.50±0.63)μm, pv。(55.73)44.86μm, pv。0.23°(0.33°),pv。(6.21±2.07)μm;结论:与对照组相比,自主开发的扫描系统在基牙类似物的三维位置采集方面具有更高的准确性,种植体数量是影响口腔外扫描精度的关键因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Development and accuracy evaluation of a photogrammetry-based extraoral scanning system for edentulous implant placement].

Objective: To evaluate the accuracy of a self-developed extraoral scanning system based on photogrammetry technology, and to provide evidence for advancing the development and clinical application evaluation of domestically produced scanning devices. Methods: This research group developed a photogrammetry-based implant extraoral scanning system with customized scan bodies. Two distinct edentulous implant resin models were designed and three-dimensional (3D)-printed by Center of Digital Dentistry, Peking University School and Hospital of Stomatology, containing 6 (Model 1) and 8 (Model 2) abutment analogs respectively. Reference data acquisition was performed using a high-precision denture 3D scanner with scan caps mounted on the analogs. Specialized scan bodies were then mounted on the analogs for 3D positional data acquisition using both the self-developed system (experimental group) and the clinically established system (control group). Each system conducted 10 repeated scans per model. Trueness was assessed through root mean square error (RMSE), linear deviation (LD), and angular deviation (AD) relative to reference data, while precision was determined through intra-group RMSE analysis. Systematic comparisons included inter-group performance on identical models and intra-group variability across different models. Results: For Model 1, the experimental group showed statistically significant advantages over controls in intra-group RMSE [(3.10±0.71) μm vs (4.61±1.51) μm, P<0.001], reference-data RMSE [(21.48±0.60) μm vs (32.50±0.63) μm, P<0.001], linear deviation [23.64 (32.35) μm vs 44.86 (55.73) μm, P<0.001], and angular deviation [0.29° (0.29°) vs 0.23° (0.33°), P<0.001]. In Model 2, significant improvements were observed in intra-group RMSE [(4.47±1.58) μm vs (6.21±2.07) μm, P<0.001], reference-data RMSE [(38.84±0.86) μm vs (43.69±1.34) μm, P<0.001], and linear deviation [37.95 (50.68) μm vs 49.71 (58.89) μm, P<0.001]. Both groups exhibited model-dependent variability, with RMSE of precision and trueness of both groups, linear deviation of experimental group, angular deviation of control group showing statistically significant increases (all P<0.001) corresponding to abutment analog quantity. Conclusions: The self-developed scanning system demonstrates superior accuracy in 3D positional acquisition of abutment analogs compared to the contral group system, with implant number identified as a critical determinant of extraoral scanning accuracy.

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来源期刊
中华口腔医学杂志
中华口腔医学杂志 Medicine-Medicine (all)
CiteScore
0.90
自引率
0.00%
发文量
9692
期刊介绍: Founded in August 1953, Chinese Journal of Stomatology is a monthly academic journal of stomatology published publicly at home and abroad, sponsored by the Chinese Medical Association and co-sponsored by the Chinese Stomatology Association. It mainly reports the leading scientific research results and clinical diagnosis and treatment experience in the field of oral medicine, as well as the basic theoretical research that has a guiding role in oral clinical practice and is closely combined with oral clinical practice. Chinese Journal of Over the years, Stomatology has been published in Medline, Scopus database, Toxicology Abstracts Database, Chemical Abstracts Database, American Cancer database, Russian Abstracts database, China Core Journal of Science and Technology, Peking University Core Journal, CSCD and other more than 20 important journals at home and abroad Physical medicine database and retrieval system included.
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