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Accuracy evaluation of CAD/CAM generated splints in orthognathic surgery: a cadaveric study

Article dans une revue avec comité de lecture
Author
SCHOUMAN, Thomas
IMHOLZ, Benoït
FASEL, Jean
COURVOISIER, Delphine
SCOLOZZI, Paolo
ccROUCH, Philippe
1001017 Institut de Biomécanique Humaine Georges Charpak [IBHGC]

URI
http://hdl.handle.net/10985/18398
DOI
10.1186/s13005-015-0082-9
Date
2015
Journal
Head and Face Medicine

Abstract

Introduction To evaluate the accuracy of CAD/CAM generated splints in orthognathic surgery by comparing planned versus actual post-operative 3D images. Methods Specific planning software (SimPlant® OMS Standalone 14.0) was used to perform a 3D virtual Le Fort I osteotomy in 10 fresh human cadaver heads. Stereolithographic splints were then generated and used during the surgical procedure to reposition the maxilla according to the planned position. Pre-operative planned and postoperative 3D CT scan images were fused and imported to dedicated software (MATLAB®) 7.11.) for calculating the translational and rotational (pitch, roll and yaw) differences between the two 3D images. Geometrical accuracy was estimated using the Root Mean Square Deviations (RMSD) and lower and upper limits of accuracy were computed using the Bland & Altman method, with 95 % confidence intervals around the limits. The accuracy cutoff was set at +/− 2 mm for translational and ≤ 4° for rotational measurements. Results Overall accuracy between the two 3D images was within the accuracy cutoff for all values except for the antero-posterior positioning of the maxilla (2.17 mm). The translational and rotational differences due to the splint were all within the accuracy cutoff. However, the width of the limits of agreement (range between lower and upper limits) showed that rotational differences could be particularly large. Conclusion This study demonstrated that maxillary repositioning can be accurately approximated and thus predicted by specific computational planning and CAD/CAM generated splints in orthognathic surgery. Further study should focus on the risk factors for inaccurate prediction.

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