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Object Description
Title | Utilizing voxel based superimposition to asses orthognathic surgical treatment |
Author | Alexandroni, Emanuel Stefan |
Author email | alexandroni@gmail.com;alexandroni@gmail.com |
Degree | Master of Science |
Document type | Thesis |
Degree program | Cranio-Facial Biology |
School | College of Letters, Arts And Sciences |
Date defended/completed | 2012-03-17 |
Date submitted | 2012-04-26 |
Date approved | 2012-04-26 |
Restricted until | 2012-04-26 |
Date published | 2012-04-26 |
Advisor (committee chair) | Sameshima, Glenn T. |
Advisor (committee member) |
Paine, Michael L. Enciso, Reyes |
Abstract | Introduction: The accuracy of orthognathic surgery skeletal prediction has been studied in the past. This study evaluates accuracy of orthognathic surgery skeletal prediction using a novel superimposition method based on a regional, voxel-based approach. ❧ Methods: The pre- and post-surgical cone beam computed tomography (CBCT) records (n=44) of Class III surgical patients were superimposed, and a standard three-dimensional Cartesian coordinate system was defined. The transverse, anteroposterior, and vertical movement of clinically defined maxillary and mandibular landmarks were calculated based on their pre- and post-surgical positions. These surgical changes were compared with the predicted movements determined in the model surgery. A statistical analysis was undertaken to validate landmark identification and the accuracy of the surgical predictions. ❧ Results: We were able to successfully use the voxel based superimposition technique to compare surgical skeletal movements with movements predicted at the time of model surgery. The difference between actual and planned surgical changes was statistically significant (p < 0.05) for transverse and vertical movement of the maxillary left First Molar and for vertical movement of the maxillary left Canine. However, the mean differences between actual and planned surgical changes for these statistically significant findings were all less than 0.5 mm. ❧ Conclusions: The skeletal movements planned at time of model surgery were reproduced surgically with a clinically insignificant level of error. Utilizing voxel based superimposition and a landmark based treatment outcomes approach allows us to isolate error in a way not available in methods that use cephalometrics or segmentation derived surface models. The author’s personal experience with the imaging tools utilized in this study was that they provide automated, accurate, and fast superimpositions, which should be seriously considered by those who aim to quantitatively evaluate three-dimensional treatment outcomes. |
Keyword | orthognathic surgery; superimposition; registration; voxel based registration; orthodontics |
Language | English |
Part of collection | University of Southern California dissertations and theses |
Publisher (of the original version) | University of Southern California |
Place of publication (of the original version) | Los Angeles, California |
Publisher (of the digital version) | University of Southern California. Libraries |
Provenance | Electronically uploaded by the author |
Type | texts |
Legacy record ID | usctheses-m |
Contributing entity | University of Southern California |
Rights | Alexandroni, Emanuel Stefan |
Physical access | The author retains rights to his/her dissertation, thesis or other graduate work according to U.S. copyright law. Electronic access is being provided by the USC Libraries in agreement with the author, as the original true and official version of the work, but does not grant the reader permission to use the work if the desired use is covered by copyright. It is the author, as rights holder, who must provide use permission if such use is covered by copyright. The original signature page accompanying the original submission of the work to the USC Libraries is retained by the USC Libraries and a copy of it may be obtained by authorized requesters contacting the repository e-mail address given. |
Repository name | University of Southern California Digital Library |
Repository address | USC Digital Library, University of Southern California, University Park Campus MC 7002, 106 University Village, Los Angeles, California 90089-7002, USA |
Repository email | cisadmin@lib.usc.edu |
Archival file | uscthesesreloadpub_Volume4/etd-Alexandron-649.pdf |
Description
Title | Page 1 |
Contributing entity | University of Southern California |
Repository email | cisadmin@lib.usc.edu |
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