Most of the studies (eleven) used voxel-based registration, one landmark-based registration and three studies compared different registration techniques, which include the surface-based registration. Fourteen of them were performed on Cone Beam Computed Tomography (CBCT) and one on Computed Tomography (CT) derived 3D models. There was high heterogeneity among studies regarding the type of participants, sample size, growth status, machines, acquisition parameters, superimposition techniques, assessment techniques and outcomes measured. Thirteen out of the 15 studies showed high applicability concerns, two unclear and no study had low applicability concerns. From the 15 included studies, 12 have shown high total risk of bias, one low risk of bias, and two studies have shown unclear risk of bias.
Out of 832 studies, fifteen met the eligibility criteria. The study protocol was registered in PROSPERO (ID: CRD42019143356). Studies of any design with sample size ≥3 were assessed by two authors independently. The outcomes of interest were the accuracy, precision, or agreement between skeletal-tissue superimposition techniques to assess changes in the morphology of craniofacial structures. Medline (via Pubmed), EMBASE, Google Scholar, Cochrane Library, Open Grey and Grey Literature Report were searched (last search: ) using specific terms that fulfilled the requirements of each database in the context of the study aim.
The purpose of the present study is to assess the available literature on skeletal-tissue superimpositions of serial craniofacial CT or CBCT images used to detect morphological changes. So far, several techniques have been recommended for the assessment of craniofacial changes through skeletal tissue superimposition, but the evidence that supports them remains unexplored.
Assessment of methods used for 3-dimensional superimposition of craniofacial skeletal structures: a systematic review. Cite this article Mai DD, Stucki S, Gkantidis N. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. Licence This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. Department of Orthodontics and Dentofacial Orthopedics, University of Bern, Bern, Switzerland DOI 10.7717/peerj.9263 Published Accepted Received Academic Editor Despina Koletsi Subject Areas Dentistry, Radiology and Medical Imaging, Computational Science Keywords Cone-Beam Computed Tomography, Computed Tomography, Head, Superimposition, 3D imaging Copyright © 2020 Mai et al.
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