CT-Based Modeling of the Dentition for Craniomaxillofacial Surgical Planning.

Autor:	Abramson Z; Department of Diagnostic Imaging, St. Jude Children's Hospital., Scoggins MA; Department of Diagnostic Imaging, St. Jude Children's Hospital., Burton C; Department of Diagnostic Imaging, St. Jude Children's Hospital., Choudhri AF; Department of Radiology, Le Bonheur Children's Hospital, University of Tennessee Health Science Center., Holladay C; University of Tennessee Health Science Center: College of Dentistry., Briant NRP; University of Memphis., Sheyn A; Department of Otolaryngology-Head and Neck Surgery, University of Tennessee Health Science Center, Memphis, TN., Susarla S; Craniofacial Center, Divisions of Plastic/Craniofacial Surgery and Oral/ Maxillofacial Surgery, Seattle Children's Hospital; and.; University of Washington, Seattle, WA.
Jazyk:	angličtina
Zdroj:	The Journal of craniofacial surgery [J Craniofac Surg] 2022 Jul-Aug 01; Vol. 33 (5), pp. 1574-1577. Date of Electronic Publication: 2021 Dec 13.
DOI:	10.1097/SCS.0000000000008402
Abstrakt:	Abstract: Historically, the accuracy of imaging teeth by computed tomography (CT) has been suboptimal and deemed inadequate for surgical planning of orthognathic procedures. However, recent advances in CT hardware and software have significantly improved the accuracy of imaging occlusal anatomy. This technical note describes a quantitative means of evaluating the accuracy of CT-based modeling of teeth. Three-dimensional models of the dentition were created from a CT scan obtained of a craniomaxillofacial skeleton. Multiple reconstruction algorithms and modeling parameters were applied. The dentition of the same skeleton was scanned using a handheld optical scanning device to serve as the "gold standard." Semi-automated registrations of CT and optically acquired models were performed and deviation analysis was conducted. On average, the deviation of the CT model with the optical scan measured 0.19 to 0.25 mm across the various reconstruction and modeling parameters, with a mean of 0.22 mm. Computed tomography underestimated contours at cusp tips, while overestimating contours in occlusal groves. The use of bone reconstruction algorithms and decreased model smoothing resulted in more accurate models, though greater surface noise. Future studies evaluating the clinical effectiveness of CT-based occlusal splints should take this finding into account. Competing Interests: The authors report no conflicts of interest. (Copyright © 2021 by Mutaz B. Habal, MD.)
Databáze:	MEDLINE
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