Çolak, CemilErcan, İlkerDoğan, MetinTuran Özdemir, SenemŞener, SerpilAlkan, Alpay2017-08-212017-08-212011Çolak, C. Ercan, İ. Doğan, M. Turan Özdemir, S. Şener, S. Alkan, A. (2011). Detecting the shape differences of the corpus callosum in behçets disease by statistical shape analysis. The Anatomical Record: Advances in Integrative Anatomy and Evolutionary Biology. 294:870–874.https://hdl.handle.net/11616/7645The aim of this study was to assess the shape differences of the corpus callosum (CC) in patients with Behc¸et’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 Behc¸et’s disease and 25 age- and gendermatched 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 Behc¸et patients and controls (P ¼ 0.006). Based on the analysis, a decrease occurred in the CC size of the Behc¸et 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. Behc¸et patients had significantly different CC shapes from control subjects. The results suggest that SSA is a promising tool for distinguishing Behc¸et 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.eninfo:eu-repo/semantics/openAccessBehçets diseaseCorpus callosumGeometric morphometricsGrowth curve modelsStatistical shape analysisArticle29487087410.1002/ar.21373