New Statistical Method to Analyze Three-Dimensional Landmark Configurations Obtained with Cone-Beam CT: Basic Features and Clinical Application for Rapid Maxillary Expansion.
10.3348/kjr.2012.13.2.126
- Author:
Jennifer GAMBLE
1
;
Manuel O LAGRAVERE
;
Paul W MAJOR
;
Giseon HEO
Author Information
1. Orthodontic Graduate Program, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB T6G 2N8, Canada. gheo@ualberta.ca
- Publication Type:Original Article
- Keywords:
Statistical analysis;
Cone-beam CT;
Maxillary expansion;
Three-dimensional analysis;
Bone-anchored maxillary expander;
Tooth-anchored maxillary expander
- MeSH:
Analysis of Variance;
Case-Control Studies;
Child;
*Cone-Beam Computed Tomography;
Humans;
*Imaging, Three-Dimensional;
Maxilla/*radiography;
*Models, Statistical;
*Palatal Expansion Technique;
Radiographic Image Interpretation, Computer-Assisted/*methods
- From:Korean Journal of Radiology
2012;13(2):126-135
- CountryRepublic of Korea
- Language:English
-
Abstract:
OBJECTIVE: To describe a statistical method of three-dimensional landmark configuration data and apply it to an orthodontic data set comparing two types of rapid maxillary expansion (RME) treatments. MATERIALS AND METHODS: Landmark configurations obtained from cone beam CT scans were used to represent patients in two types (please describe what were two types) of RME groups and a control group over four time points. A method using tools from persistent homology and dimensionality reduction is presented and used to identify variability between the subjects. RESULTS: The analysis was in agreement with previous results using conventional methods, which found significant differences between treatment groups and the control, but no distinction between the types of treatment. Additionally, it was found that second molar eruption varied considerably between the subjects, and this has not been evaluated in previous analyses. CONCLUSION: This method of analysis allows entire configurations to be considered as a whole, and does not require specific inter-landmark distances or angles to be selected. Sources of variability present themselves, without having to be individually sought after. This method is suggested as an additional tool for the analysis of landmark configuration data.
