Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.
Korean J Radiol. 2012 Mar-Apr;13(2):126-35. doi: 10.3348/kjr.2012.13.2.126. Epub 2012 Mar 7.
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.
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.
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.
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.
描述一种三维标志配置数据的统计方法，并将其应用于比较两种快速上颌扩张（RME）治疗方法的正畸数据集。
使用来自锥形束 CT 扫描的标志配置来代表两种 RME 组和对照组的患者在四个时间点的情况。本文提出并使用了一种使用持久同调与降维工具的方法来识别受试者之间的可变性。
该分析与使用传统方法的先前结果一致，发现治疗组与对照组之间存在显著差异，但治疗类型之间没有区别。此外，还发现第二磨牙萌出在受试者之间存在很大差异，而这在以前的分析中没有得到评估。
这种分析方法允许将整个配置作为一个整体来考虑，并且不需要选择特定的标志间距离或角度。存在可变性的来源，而无需单独寻找。该方法被建议作为标志配置数据分析的附加工具。
