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. 2017 Nov 30;88(2):233–245. doi: 10.2319/071217-468.1

Table 2.

Summary of Descriptive Characteristics of Finally Selected Studiesa

Author/Year
Aim of Study
Participant Demographics and Characteristics
Method Details
Age
Sample Size/Study Population/ Time Between Scan
Imaging System Used to Acquired Scan
Cevidanes et al. 200525 Evaluate the registration of 3D models from CBCT images taken before and after orthognathic surgery for the assessment of mandibular anatomy and position 20.6 ± 5.2 years 10 patients/undergoing maxillary surgery at the University of North Carolina Dentofacial Deformities Program/scans taken before and 1 week after orthognathic surgery NewTom 9000
Cevidanes et al. 200916 Evaluate a new method for superimposition of 3D models of growing patients 11.4 years Three patients/undergoing orthopedic treatment with miniplates/scans were taken before and after treatment (about 1 year follow-up) i-CAT 3D Imaging System
Nada et al. 201112 Evaluate accuracy and reproducibility of a semiautomated voxel based image registration technique for the superimposition of 3D CBCT models on two different regions, the anterior cranial base and the zygomatic arches 26 ± 9 years 16 adult patients/underwent two surgical interventions at Radboud University Nijmegen Medical Centre/scans were taken prior to treatment and before the second orthognathic surgery–average 18 (±4.6) months later i-CAT 3D Imaging System
DeCesare et al. 20137 Minimize errors that occur when using a four vs six-landmark superimpositioning method in the cranial base to define the coordinate system Not mentioned 10 patients/participated in a maxillary expansion clinical trial/scans were taken 12 months apart NewTom 3G
Gkantidis et al. 201521 Test the applicability, accuracy, precision, and reproducibility of various 3D superimposition techniques for radiographic data, transformed to triangulated surface data 16.2 (range: 15.1, 22.9) years Eight young adult patients/treated with rapid maxillary expansion performed by a mini-implant supported device/scans were acquired just before placement of the appliance and at the end of the activation period at a median of 15 days later Philips Brilliance 16 CT Scanner
Weissheimer et al. 20153 The aim of this study was to validate a method for fast 3D superimposition of CBCT in growing patients and adults (surgical cases) 11.4 ± 1 years (pretreatment scans) 26.3 ± 5.7 years (nongrowing adults) 9.5 ± 1.8 years (growing patients) 18 patients total. 10 patients, saved as a reoriented volume, and then superimposed on the original image. Four nongrowing and four growing/scans were taken pre- and 1 year postorthognathic surgery for adult sample and post–rapid palatal expansion for growing sample i-CAT 3D Imaging System
a 

OR indicates odds ratio; CI, confidence interval; SD, standard deviation; CBCT, cone-beam computed tomography; 3D, three-dimensional.

ITK Software, National Library of Medicine Insight Segmentation and Registration Toolkit; ITK-SNAP Software, open software interactive tool for semi-automatic segmentation of multi-modality biomedical images; MIRIT Software, multi-modality image registration by maximization of mutual information; VALMET Software, tool for validation and comparison of object segmentation; AVIZO Software, image analysis software package designed to work with 3D images—whether data from confocal or CT, or 3D rendered images; MAXILIM Software, Medicim-Medical Image Computing; CFM Software, developed at Maurice Muller Institute, Bern, Switzerland - overlays 3D surface models that are registered in the same coordinate system; FOV, Field of View; STL, stereolithography file; SGI, IV, open inventor file; CMF Software, Cranio-Maxillo Facial application software, developed at the M. E. Muller Institute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland.