一种用于颞下颌关节骨关节炎统计形状分析的基于网络的系统。
A web-based system for statistical shape analysis in temporomandibular joint osteoarthritis.
作者信息
Michoud Loic, Huang Chao, Yatabe Marilia, Ruellas Antonio, Ioshida Marcos, Paniagua Beatriz, Styner Martin, Gonçalves João Roberto, Bianchi Jonas, Cevidanes Lucia, Prieto Juan-Carlos
机构信息
Dept. of Orthodontics and Pediatric Dentistry, University of Michigan, 1011 N University Ave, Ann Arbor, MI, USA 48109.
Dept. of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, Hanes Hall, Campus Box 3260, NC, USA 27599.
出版信息
Proc SPIE Int Soc Opt Eng. 2019 Feb;10953. doi: 10.1117/12.2506032. Epub 2019 Mar 15.
This study presents a web-system repository: Data Storage for Computation and Integration (DSCI) for Osteoarthritis of the temporomandibular joint (TMJ OA). This environment aims to maintain and allow contributions to the database from multi-clinical centers and compute novel statistics for disease classification. For this purpose, imaging datasets stored in the DSCI consisted of three-dimensional (3D) surface meshes of condyles from CBCT, clinical markers and biological markers in healthy and TMJ OA subjects. A clusterpost package was included in the web platform to be able to execute the jobs in remote computing grids. The DSCI application allowed runs of statistical packages, such as the Multivariate Functional Shape Data Analysis to compute global correlations between covariates and the morphological variability, as well as local p-values in the 3D condylar morphology. In conclusion, the DSCI allows interactive advanced statistical tools for non-statistical experts.
本研究展示了一个网络系统存储库
颞下颌关节骨关节炎（TMJ OA）的计算与整合数据存储（DSCI）。该环境旨在维护并允许多临床中心向数据库贡献数据，并计算用于疾病分类的新统计数据。为此，存储在DSCI中的成像数据集包括来自CBCT的髁突三维（3D）表面网格、健康受试者和TMJ OA受试者的临床标志物及生物标志物。网络平台中包含一个clusterpost软件包，以便能够在远程计算网格中执行任务。DSCI应用程序允许运行统计软件包，如多变量功能形状数据分析，以计算协变量与形态变异性之间的全局相关性，以及三维髁突形态中的局部p值。总之，DSCI为非统计专家提供了交互式高级统计工具。
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