Clinical Assistant Professor, Hialeah Dental Center, University of Florida College of Dentistry, Miami, Fla.
Research Associate of the Division of Regenerative and Implant Sciences, Department of Restorative Dentistry and Biomaterials Sciences, Harvard School of Dental Medicine, Boston, Mass.
J Prosthet Dent. 2021 Jun;125(6):905-910. doi: 10.1016/j.prosdent.2020.03.017. Epub 2020 Jun 2.
The fit of a 3D printed surgical template will directly influence the accuracy of guided implant surgery. Various 3D printing technologies are currently available with different levels of resolution and printing accuracy; however, how the different systems affect accuracy is unclear.
The purpose of this in vitro study was to assess the effect of using various 3D printers for the fabrication of implant surgical templates and its effect on the definitive implant position compared with the planned implant position.
A cone beam computed tomography scan from a partially edentulous patient and an extraoral digital scan of a dental cast obtained from the same patient were used. The digital imaging and communications in medicine and standard tessellation language (STL) files were imported to an implant planning software program and merged, and an implant was digitally positioned in the mandibular right first molar region. A surgical template was designed and exported as an STL file. Ten surgical templates were printed for each of the following groups: stereolithography (SLA) printing, PolyJet, and MultiJet. The region where the implant was planned was cut away from the cast onto which the surgical templates were seated, allowing a passive positioning of the implant through the template, which was held in place with polyvinyl siloxane material. A scan body was inserted in the implant, and the cast was scanned with a laboratory scanner. The STL files obtained from the definitive implant position were imported into an implant planning software program and registered with the planned implant position, allowing for a comparison between the planned and actual implant position. Mean deviations were measured for angle deviation, entry point offset, and apex offset. Data normality was tested by using the Shapiro-Wilk test. The Kruskal-Wallis test was used to determine whether the outcomes of angle deviation, apex offset, and entry offset were statistically different between groups (α=.05).
The median and interquartile range for the angle deviation (degrees) were 1.30 (0.62) for SLA; 1.15 (1.23) for Polyjet; and 1.10 (0.65) for Multijet. No statistically significant differences were found in the angular deviation among groups (χ2(2)=3.08, P=.21). The median and interquartile range for the entry offset and apex offset (mm) were 0.19 (0.16) and 0.36 (0.16) for SLA, respectively; 0.20 (0.13) and 0.34 (0.26) for Polyjet, respectively; and 0.23 (0.10) and 0.32 (0.08) for Multijet, respectively. Similarly, nonsignificant differences were found for entry point offset (χ2(2)=0.13, P=.94) and apex offset (χ2(2)=1.08, P=.58).
The different types of 3D printing technology used in this study did not appear to have a significant effect on the accuracy of guided implant surgery.
3D 打印手术模板的贴合度将直接影响导向种植手术的准确性。目前有各种不同分辨率和打印精度的 3D 打印技术,但不同系统如何影响准确性尚不清楚。
本体外研究的目的是评估使用不同 3D 打印机制造种植手术模板及其对最终种植体位置的影响,与计划种植体位置进行比较。
使用一位部分缺牙患者的锥形束 CT 扫描和同一患者的口外数字化牙模扫描。将医学数字成像和通信标准和标准三角语言 (STL) 文件导入种植体规划软件程序并合并,将种植体在下颌右侧第一磨牙区域进行数字化定位。设计手术模板并以 STL 文件形式导出。以下每个组均打印了 10 个手术模板:立体光固化(SLA)打印、PolyJet 和 MultiJet。从模型上切除计划种植体所在的区域,将手术模板放置在模型上,通过聚硅氧烷材料固定手术模板。将扫描体插入种植体中,然后使用实验室扫描仪扫描牙模。从最终种植体位置获取的 STL 文件被导入种植体规划软件程序,并与计划种植体位置进行注册,允许通过模板被动定位种植体。测量角度偏差、入口点偏移和根尖偏移的平均偏差。使用 Shapiro-Wilk 检验测试数据正态性。使用 Kruskal-Wallis 检验确定角度偏差、根尖偏移和入口偏移的结果在组间是否存在统计学差异(α=0.05)。
SLA 的角度偏差中位数(四分位距)为 1.30(0.62);Polyjet 为 1.15(1.23);Multijet 为 1.10(0.65)。组间角度偏差无统计学差异(χ2(2)=3.08,P=.21)。SLA 的入口偏移和根尖偏移中位数(四分位距)分别为 0.19(0.16)和 0.36(0.16);Polyjet 分别为 0.20(0.13)和 0.34(0.26);Multijet 分别为 0.23(0.10)和 0.32(0.08)。同样,入口点偏移(χ2(2)=0.13,P=.94)和根尖偏移(χ2(2)=1.08,P=.58)也无统计学差异。
本研究中使用的不同类型的 3D 打印技术似乎对导向种植手术的准确性没有显著影响。