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Accuracy of virtual models in the assessment of maxillary defects

Identifieur interne : 001465 ( Main/Exploration ); précédent : 001464; suivant : 001466

Accuracy of virtual models in the assessment of maxillary defects

Auteurs : K Vanç Kamburo Lu [Turquie] ; Ebnem Kur Un [Turquie] ; Cenk K L Ç [Turquie] ; Tuncer Özen [Turquie]

Source :

RBID : PMC:4362988

Abstract

Purpose

This study aimed to assess the reliability of measurements performed on three-dimensional (3D) virtual models of maxillary defects obtained using cone-beam computed tomography (CBCT) and 3D optical scanning.

Materials and Methods

Mechanical cavities simulating maxillary defects were prepared on the hard palate of nine cadavers. Images were obtained using a CBCT unit at three different fields-of-views (FOVs) and voxel sizes: 1) 60×60 mm FOV, 0.125 mm3 (FOV60); 2) 80×80 mm FOV, 0.160 mm3 (FOV80); and 3) 100×100 mm FOV, 0.250 mm3 (FOV100). Superimposition of the images was performed using software called VRMesh Design. Automated volume measurements were conducted, and differences between surfaces were demonstrated. Silicon impressions obtained from the defects were also scanned with a 3D optical scanner. Virtual models obtained using VRMesh Design were compared with impressions obtained by scanning silicon models. Gold standard volumes of the impression models were then compared with CBCT and 3D scanner measurements. Further, the general linear model was used, and the significance was set to p=0.05.

Results

A comparison of the results obtained by the observers and methods revealed the p values to be smaller than 0.05, suggesting that the measurement variations were caused by both methods and observers along with the different cadaver specimens used. Further, the 3D scanner measurements were closer to the gold standard measurements when compared to the CBCT measurements.

Conclusion

In the assessment of artificially created maxillary defects, the 3D scanner measurements were more accurate than the CBCT measurements.


Url:
DOI: 10.5624/isd.2015.45.1.23
PubMed: 25793180
PubMed Central: 4362988


Affiliations:


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Le document en format XML

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<name sortKey="Enciso, R" uniqKey="Enciso R">R Enciso</name>
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<name sortKey="Pham, J" uniqKey="Pham J">J Pham</name>
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<name sortKey="Grauer, D" uniqKey="Grauer D">D Grauer</name>
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