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从三台不同的锥形束计算机断层扫描(CBCT)机器记录的All-on-Four种植体位置的精度。

The Precision of All-on-Four Implant Position Recorded from Three Different CBCT Machines.

作者信息

Alsulimani Osamah, Alhaddad Abdulrahman, Altassan Mosa, Bukhari Asmaa, Munshi Lulu, Sabir Ghalia

机构信息

Department of Oral Diagnostic Sciences, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia.

Department of Oral and Maxillofacial Prosthodontics, Faculty of Dentistry, King Abdulaziz University, Jeddah, Saudi Arabia.

出版信息

Eur J Dent. 2025 May;19(2):337-345. doi: 10.1055/s-0044-1788613. Epub 2024 Jul 23.

DOI:10.1055/s-0044-1788613
PMID:39043211
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12020579/
Abstract

OBJECTIVE

To investigate the dimensional discrepancy and degree of deviation of All-on-Four implant position between different cone-beam computed tomography (CBCT) machines.

MATERIALS AND METHODS

Four implants (4.5 × 10 mm Superline II, Dentium, South Korea) were placed in an All-on-Four style in an artificial mandible. The jaw was radiated 30 times using three different CBCT machines (Rainbow CT, Dentium; Veraview X800, Morita, Japan; Planmeca Viso G3, Planmeca OY, Finland). A total of 30 Digital Imaging and Communications in Medicine (DICOM) files were exported,  = 10. All-on-Four implants from each DICOM file were segmented and exported as an STL file (three-dimensional image) using Blue Sky Plan software (version 4.12.13/Blue Sky Bio, United States). All-on-Four implant zone dimensions (, , and axes) and the total degree of deviation between All-on-Four implants per CBCT machine were measured using Autodesk Meshmixer software (version 3.5.474/California, United States). The data distribution's normality and variances' equality were tested with Shapiro-Wilk's and Levene's tests, respectively (-value < 0.05). Data were analyzed using Brown-Forsythe one-way analysis of variance and Tamhane's post hoc tests to compare the differences between the groups (-value <0.05).

RESULTS

The respective , , and mean dimensions of the All-on-Four implant zone were: Dentium (34.95, 14.71, and 9.97); Morita (34.88, 14.74, and 10.56); and Planmeca (34.73, 15.15, and 12.33). Significant differences between CBCT machines were found in all axes (-value < 0.05); however, the -axis had the most differences. Notably, Planmeca exhibited the highest standard deviation (SD) in all axes (0.16-0.35), exhibiting the lowest consistency in the CBCT machines' readings. The Dentium exhibited the lowest deviation in the implant position, with the lowest SD (0.61). A significant difference in the total degree of deviation was spotted when only Morita was included in the comparison (-value < 0.05).

CONCLUSION

This study's findings are of significant importance as they reveal that the implant position recorded from the CBCT machines was most discrepant in the buccolingual dimension (-axis). Planmeca exhibited the least implant-dimensional accuracy of the CBCT machines, while Dentium exhibited the highest implant position accuracy. These results could significantly impact the choice of CBCT machine for implant placement, especially since an accurate CBCT image is crucial for digital implant planning.

摘要

目的

研究不同锥形束计算机断层扫描(CBCT)机器之间全口四颗种植体位置的尺寸差异和偏差程度。

材料与方法

将四颗种植体(4.5×10mm Superline II,韩国登腾)以全口四颗的方式植入人工下颌骨。使用三台不同的CBCT机器(彩虹CT,韩国登腾;Veraview X800,日本森田;Planmeca Viso G3,芬兰普兰梅卡公司)对下颌骨进行30次扫描。共导出30个医学数字成像和通信(DICOM)文件,每组10个。使用蓝天计划软件(版本4.12.13/美国蓝天生物公司)对每个DICOM文件中的全口四颗种植体进行分割,并导出为STL文件(三维图像)。使用欧特克Meshmixer软件(版本3.5.474/美国加利福尼亚)测量全口四颗种植体区域的尺寸(x、y和z轴)以及每台CBCT机器上全口四颗种植体之间的总偏差程度。分别使用Shapiro-Wilk检验和Levene检验来检验数据分布的正态性和方差齐性(p值<0.05)。使用Brown-Forsythe单因素方差分析和Tamhane事后检验对数据进行分析,以比较各组之间的差异(p值<0.05)。

结果

全口四颗种植体区域各自的x、y和z平均尺寸分别为:登腾(34.95、14.71和9.97);森田(34.88、14.74和10.56);普兰梅卡(34.73、15.15和12.33)。在所有轴向上,CBCT机器之间均存在显著差异(p值<0.05);然而,z轴的差异最大。值得注意的是,普兰梅卡在所有轴向上的标准差(SD)最高(0.16 - 0.35),在CBCT机器读数中一致性最低。登腾在种植体位置上的偏差最小,标准差最低(0.61)。当仅将森田纳入比较时,发现总偏差程度存在显著差异(p值<0.05)。

结论

本研究结果具有重要意义,因为它们表明CBCT机器记录的种植体位置在颊舌向尺寸(z轴)上差异最大。普兰梅卡的CBCT机器在种植体尺寸准确性方面表现最差,而登腾在种植体位置准确性方面表现最高。这些结果可能会对种植体植入时CBCT机器的选择产生重大影响,特别是因为准确的CBCT图像对于数字化种植计划至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb5c/12020579/0580ec0d5b37/10-1055-s-0044-1788613-i2453590-8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb5c/12020579/2278259e154b/10-1055-s-0044-1788613-i2453590-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb5c/12020579/9fead7cb9508/10-1055-s-0044-1788613-i2453590-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb5c/12020579/d6f32dfce292/10-1055-s-0044-1788613-i2453590-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb5c/12020579/edb537996980/10-1055-s-0044-1788613-i2453590-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb5c/12020579/2b0e8e4bf341/10-1055-s-0044-1788613-i2453590-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb5c/12020579/e12d2f6c12f1/10-1055-s-0044-1788613-i2453590-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb5c/12020579/cad82a7a97e5/10-1055-s-0044-1788613-i2453590-7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb5c/12020579/0580ec0d5b37/10-1055-s-0044-1788613-i2453590-8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb5c/12020579/2278259e154b/10-1055-s-0044-1788613-i2453590-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb5c/12020579/9fead7cb9508/10-1055-s-0044-1788613-i2453590-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb5c/12020579/d6f32dfce292/10-1055-s-0044-1788613-i2453590-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb5c/12020579/edb537996980/10-1055-s-0044-1788613-i2453590-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb5c/12020579/2b0e8e4bf341/10-1055-s-0044-1788613-i2453590-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb5c/12020579/e12d2f6c12f1/10-1055-s-0044-1788613-i2453590-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb5c/12020579/cad82a7a97e5/10-1055-s-0044-1788613-i2453590-7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb5c/12020579/0580ec0d5b37/10-1055-s-0044-1788613-i2453590-8.jpg

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