INTRODUCTION: Studies on software accuracy of reformatted panoramic computed tomography (CT) images are scarce. OBJECTIVES: The aim of this study was to evaluate the software accuracy of reformatted panoramic views from cone-beam computed tomography (CBCT). METHODS: Ten dry mandibles were scanned using CBCT with different voxel sizes. Following the reconstruction of panoramic views with three different software, horizontal and vertical linear measurements were performed using the electronic rules of each software. Measurements of the corresponding dry mandibles were taken with a digital caliper and defined as the gold standard. RESULTS: There were no statistically significant differences in linear distances among the dry mandibles and reformatted panoramic CT views. The relative error ranged from 1.3 to 8.0%, depending on the software and voxel size. CONCLUSIONS: The linear measurements on reformatted panoramic views are reliable.
INTRODUCTION: Studies on software accuracy of reformatted panoramic computed tomography (CT) images are scarce. OBJECTIVES: The aim of this study was to evaluate the software accuracy of reformatted panoramic views from cone-beam computed tomography (CBCT). METHODS: Ten dry mandibles were scanned using CBCT with different voxel sizes. Following the reconstruction of panoramic views with three different software, horizontal and vertical linear measurements were performed using the electronic rules of each software. Measurements of the corresponding dry mandibles were taken with a digital caliper and defined as the gold standard. RESULTS: There were no statistically significant differences in linear distances among the dry mandibles and reformatted panoramic CT views. The relative error ranged from 1.3 to 8.0%, depending on the software and voxel size. CONCLUSIONS: The linear measurements on reformatted panoramic views are reliable.
Authors: Justin B Ziemba; Pan Li; Rishab Gurnani; Satomi Kawamoto; Elliot Fishman; George Fung; Wesley W Ludwig; Dan Stoianovici; Brian R Matlaga Journal: J Endourol Date: 2018-07-13 Impact factor: 2.942