Table 2.
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 |
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.