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Detecting the Shape Differences of the Corpus Callosum in Behçet's Disease by Statistical Shape Analysis
Article first published online: 31 MAR 2011
Copyright © 2011 Wiley-Liss, Inc.
The Anatomical Record
Volume 294, Issue 5, pages 870–874, May 2011
How to Cite
Colak, C., Ercan, I., Dogan, M., Ozdemir, S. T., Sener, S. and Alkan, A. (2011), Detecting the Shape Differences of the Corpus Callosum in Behçet's Disease by Statistical Shape Analysis. Anat Rec, 294: 870–874. doi: 10.1002/ar.21373
- Issue published online: 12 APR 2011
- Article first published online: 31 MAR 2011
- Manuscript Accepted: 3 FEB 2011
- Manuscript Received: 11 NOV 2010
- Behçet's disease;
- corpus callosum;
- geometric morphometrics;
- growth curve models;
- statistical shape analysis
The aim of this study was to assess the shape differences of the corpus callosum (CC) in patients with Behçet's disease using statistical shape analysis (SSA). Additionally, an attempt was made to investigate the changes in CC size according to disease duration. Twenty-five adults with clinically diagnosed Behçet's disease and 25 age- and gender-matched controls were examined by high-resolution structural magnetic resonance imaging. The data obtained from the coordinate of landmarks were analyzed with Euclidean distance matrix analysis and a thin-plate spline analysis. SSA and growth curve models were performed to investigate group differences and to fit the curves. A significant difference was determined between CC shape of Behçet patients and controls (P = 0.006). Based on the analysis, a decrease occurred in the CC size of the Behçet patients as the duration of disease increased. Maximum deformations were determined in the landmarks of interior notch of the splenium, inferior tip of the splenium, posterior-most point of the CC, and topmost point of the CC. Similarly, the landmark of anterior-most point of the CC was identified as having the minimum deformation. Behçet patients had significantly different CC shapes from control subjects. The results suggest that SSA is a promising tool for distinguishing Behçet patients from normal subjects, and that it can give useful information to assist clinicians. Additionally, SSA might be applied to detect shape differences in anatomical structures that are affected by a broad range of neurological diseases. Anat Rec, 2011. © 2011 Wiley-Liss, Inc.