Open Collections

Sandlas, Shamsher

University of British Columbia

Objectives: Cone-Beam Computed Tomography (CBCT) was first developed 29 years ago and came into commercial use in 1999 and has over the last decade been increasingly applied to almost every area of dental practice. This is due to 3D visualization of teeth and supporting tissues, high spatial resolution, low radiation, and minimal operating time compared to medical computed tomography. The CBCT images are read by an accompanying viewer or a treatment planning software. Currently, there is little information on comparing accuracy of commercially available implant planning softwares. Therefore, the aim of this study was to assess the accuracy of four popular implant planning software (coDiagnostix, DTX, Simplant, and BlueSkyPlan) by identifying the mandibular canal using the free hand nerve marking tool. Methods: Two De-fleshed human mandibles were acquired for study. Various regions of the mandibles were evaluated including canine, premolars, and molars. Gutta-percha was fixated in buccal and lingual aspects of the aforementioned regions. Mandibles were scanned in low (.30mm voxel size) and high (.18mm voxel size) resolution along with variation of mA values including 3.2, 4, and 5. DICOM files were imported into the four implant planning softwares for analysis. After image analysis, specimen were sectioned with a reverse-cutting saw in all evaluated regions. For gold standard measurements, a digital caliper was used in anatomical sections to measure comparable areas. Results: ANOVA analysis demonstrated that there is no statistical significance between the gold standard and different softwares when calculating for accuracy. When calculating for sensitivity, it appears that coDiagnostix has the highest value out of the four softwares. Conclusions: Varying mA and voxel size values does not impact the accuracy of four different softwares. It appears that coDiagnostix has the highest sensitivity values when using the most common settings for CBCT image acquisition.

Text

2021-06-01

Attribution-NonCommercial-NoDerivatives 4.0 International

http://hdl.handle.net/2429/78504

Craniofacial Science

University of British Columbia

UBCV

http://creativecommons.org/licenses/by-nc-nd/4.0/