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FV 5. MRI-based texture analysis of the corpus callosum in progressive supranuclear palsy

Introduction. The diagnosis of progressive supranuclear palsy (PSP) involves head MRI, including detection of atrophy patterns of the mesencephalon and frontoparietal regions. In this study, MRI-based alterations of the texture in the corpus callosum (CC) in PSP patients compared with Parkinson'...

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Bibliographic Details
Published in:Clinical neurophysiology 2021-08, Vol.132 (8), p.e31-e31
Main Authors: Barlescu, L.A., Müller, H.P., Ludolph, A.C., Pinkhardt, E.H., Huppertz, H.J., Kassubek, J.
Format: Article
Language:English
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Summary:Introduction. The diagnosis of progressive supranuclear palsy (PSP) involves head MRI, including detection of atrophy patterns of the mesencephalon and frontoparietal regions. In this study, MRI-based alterations of the texture in the corpus callosum (CC) in PSP patients compared with Parkinson's disease(PD) patients and healthy controls were investigated. Methods. In sagittal T1-weighted MRI scans of 66 PSP patients, 66 PD patients and 44 healthy controls the corpus callosum was segmented by atlas-based volumetry and TIFT [1] in areas I-V based on the Hofer & Frahm scheme [2]. The texture parameters entropy and homogeneity were calculated separately for areas I-V and results were compared for PSP patients (including phenotypes Richardson-syndrome and PSP-parkinsonism) vs. PD patients vs. healthy controls. Results. A significant increase of parameters entropy and homogeneity compared to controls was detected for PSP as well as for PD for areas I, II, and III of the CC; here PSP patients showed a higher increase compared to PD patients. Highest alterations were detected in area II where the increase of (in)homogeneity of PSP compared with PD was significant. Differences between the phenotypes Richardson-syndrome und PSP-parkinsonism could not be shown. Discussion. Texture analysis of the CC could contribute to diagnosis, screening and differentiation between PSP and PD. References [1] Müller HP, et al. Neuroimage Clin. 2020; 26:102223. [2] Hofer S, Frahm J. Neuroimage. 2006; 32,989-994.
ISSN:1388-2457
1872-8952
DOI:10.1016/j.clinph.2021.02.381