口腔疾病防治2025，Vol.33Issue(8)：631-638,8.DOI:10.12016/j.issn.2096-1456.202550126
复制总义齿印模4种扫描策略的精度研究
The accuracy of four scanning strategies for duplicate complete denture impressions
摘要
Abstract
Objective To explore intraoral scanning strategies for elastic impressions during the fabrication process of duplicate complete dentures and to investigate the accuracy of 3D scanning strategies on the surface of complete den-tures.The goal is to utilize digital technology to improve the traditional fabrication methods of duplicate complete den-tures.Methods Eight sets of replicated denture model for edentulous patients were selected.Conventional complete dentures were created based on these models.The condition of the patient's alveolar bone atrophy was simulated on these models,and elastic impressions were built using complete dentures as individual trays with polyether silicone rub-ber materials.TRIOS 3 intraoral scanners were used to scan the elastic impressions according to four scanning strate-gies(A:tissue surface-artificial teeth-polished surface of denture;B:artificial teeth-polished surface of denture-tis-sue surface;C:tissue surface-artificial teeth-polished surface of denture in powder spraying state;D:artificial teeth-polished surface-tissue surface in powder spraying state).The 3D data obtained by the desktop scanner were used as the reference.The maximum deviation,average deviation,and standard deviation of the 3D data models obtained by dif-ferent scanning strategies were compared using the Geomagic Control X software.For the complete denture,the maxi-mum deviation was 0.3 mm.The obtained results were analyzed by PASW Statistics 18 software.Results The maxi-mum deviation value of the maxillary scans in the 3D data compared with the desktop scanning data was(0.188±0.109)mm,and that of the mandibular scans was(0.200±0.099)mm.There was no statistically significant difference between them(t=0.139,P=0.624).However,the maximum deviation values of both the maxillary and mandibular scans were lower than the required maximum error(0.3 mm)for complete dentures in clinical practice,and the differ-ence was statistically significant(P＜0.001).The average deviations of the maxillary and mandibular models were(0.024±0.212)mm and(0.014±0.014)mm,respectively,and the differences were statistically significant(t=4.228,P=0.021).The standard deviations of the maxillary and mandibular models were(0.074±0.032)mm and(0.074±0.034)mm,respectively.There was no statistically significant difference between them(t=0.813,P=0.371).There were no statistically significant differences in the average deviations and standard deviations of each scanning strategy between the maxillary and mandibular impressions within and between groups.Comparing the deviation between the tis-sue surface and the polished surface of the 3D data of the upper and lower jaws on the oral scanner and the desktop scanner shows that the areas with larger deviations in the maxillary impressions were mainly concentrated in the maxil-lary tuberosity and palatal vault regions,and those in the mandibular impressions were mainly concentrated in the molar posterior pad region.Conclusion The digital impressions formed by intraoral scanning the maxillary and man-dibular elastic impressions can meet the requirements for clinical fabrication of complete dentures.However,in clinical practice,special attention should be paid to checking and adjusting the fit of the maxillary tuberosity and palatal vault and the mandibular molar posterior pad areas of the complete dentures.关键词
总义齿/复制义齿/计算机辅助设计/计算机辅助制造/数字化/口内扫描仪/扫描策略/上颌结节Key words
complete denture/duplicate denture/computer aided design/computer aided manufacturing/digi-tal/intraoral scanner/scan strategy/maxillary tuberosity分类
医药卫生引用本文复制引用
朱姗姗,叶鹏,陆支越..复制总义齿印模4种扫描策略的精度研究[J].口腔疾病防治,2025,33(8):631-638,8.基金项目
国家重点研发计划项目(2020YFC2009000) （2020YFC2009000）
中央高水平医院临床科研业务费(BJ-2023-186) This study was supported by the the grants from National Key Research and Development Program of China(No.2020YFC2009000)and National High Level Hospital Clinical Research Funding(No.BJ-2023-186). （BJ-2023-186）
