Abstract

This study is [sic] introduces a new extension of Euclidean Distance Matrix Analysis (EDMA) as applied to growth prediction analysis. Using EDMA eliminates the presupposition of a set growth pattern, which is introduced by traditional superimposition techniques. When EDMA is extended to analyze prediction methodologies, using a non-age-matched growth sample, some shortcomings become evident. These involve bootstrapping techniques, relative difference in growth, and absence of clinical, real world measure. To overcome these issues, a statistical approach using the Wilcoxen signed rank test, absolute difference in growth, and a new method to evaluate the error in a prediction methodology's landmark identification to the clinician's error in landmark identification is presented. This extension of EDMA is demonstrated with an eclectic sample of longitudinal cephalometric radiographs of 39 orthodontically untreated Caucasian persons. The mean T1 age is 6.3 years, and the mean T2 age is 16.2 years. The average growth was 9.6 years. This technique was used to analyze a long range growth forecasting method contained within the commercial software package, ZeroBaseTM. The software algorithm showed 20% of interlandmark distances predicted with statistical significance when 153 of 7140 possible landmark distances were evaluated. Those distances predicted with validity (p ≥ 0.05), mostly involved the posterior vertical and anterior interjaw relationships. The location of Co, Ar, Ba, and ANS were all predicted within the clinician's ability to determine the location of those landmarks.

Department

Dentistry

School

Graduate School

First Advisor

Joseph Caruso

Second Advisor

Ivan Dus

Third Advisor

Jay Kim

Fourth Advisor

V. Leroy Leggitt

Fifth Advisor

R. David Rynearson

Degree Name

Master of Science (MS)

Degree Level

M.S.

Year Degree Awarded

2000

Date (Title Page)

6-2000

Language

English

Library of Congress/MESH Subject Headings

Maxillofacial Development; Facial Bones -- growth & development

Type

Thesis

Page Count

viii; 35

Digital Format

PDF

Digital Publisher

Loma Linda University Libraries

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.

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

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