Abstract
This study was performed to determine the accuracy and reliability of the long range growth predictions for profile structures by three computer software systems (QuickCeph™ for Apple Macintosh™ systems. Rocky Mountain Data Systems™ for IBM™ mainframe systems, and Facial Print™ for IBM™ personal computers), on untreated individuals. The total sample consisted of 90 Caucasian children from the Burlington Growth Centre. These were subdivided into groups of 15 children in each of mesiofacial, dolichofacial, and brachyfacial growth types for both males and females, with Angle class I occlusions, normal overbite, and normal overjet. Points measured consisted of 14 skeletal and soft tissue landmarks commonly used by clinical orthodontists in determining the patient's profile and anterior limits of the bony bases.
In comparing the projected growth for the three systems and the actual growth no system was clearly more accurate and predictable. Composite superimpositions of the total 90 subject sample had very similar results for all three systems. All three systems were also more accurate in predicting the eventual location of the landmarks studied in females for both intermediate forecasts and predictions to maturity. All systems were more accurate in predicting maxillary landmarks when compared to mandibular points evaluated. Similarly, x axis coordinates and skeletal points were more accurately predicted when compared to y axis coordinates and soft tissue points.
LLU Discipline
Orthodontics
Department
Dentistry
School
Graduate School
First Advisor
William J. Emmerson
Second Advisor
Robert D. Mitchell
Third Advisor
R. David Rynearson
Fourth Advisor
John E. Peterson
Degree Name
Master of Science (MS)
Degree Level
M.S.
Year Degree Awarded
1993
Date (Title Page)
6-1993
Language
English
Library of Congress/MESH Subject Headings
Orthodontics; Cephalometry; Forecasting; Computer Simulation; Growth
Type
Thesis
Page Count
iv; 73
Digital Format
Digital Publisher
Loma Linda University Libraries
Copyright
Author
Usage Rights
This title appears here courtesy of the author, who has granted Loma Linda University a limited, non-exclusive right to make this publication available to the public. The author retains all other copyrights.
Recommended Citation
DiCiccio, Pat, "Assessment of the Accuracy of Three Methods of Computerized Growth Prediction of the Soft Tissue Profile, In Untreated Individuals" (1993). Loma Linda University Electronic Theses, Dissertations & Projects. 2262.
https://scholarsrepository.llu.edu/etd/2262
Collection
Loma Linda University Electronic Theses and Dissertations
Collection Website
http://scholarsrepository.llu.edu/etd/
Repository
Loma Linda University. Del E. Webb Memorial Library. University Archives
Included in
Numerical Analysis and Scientific Computing Commons, Orthodontics and Orthodontology Commons