Detailed Information on Publication Record
2020
Voxelwise analysis of diffusion MRI of cervical spinal cord using tract-based spatial statistics
DOSTÁL, Marek, Miloš KEŘKOVSKÝ, Erik STAFFA, Josef BEDNAŘÍK, Andrea ŠPRLÁKOVÁ-PUKOVÁ et. al.Basic information
Original name
Voxelwise analysis of diffusion MRI of cervical spinal cord using tract-based spatial statistics
Authors
DOSTÁL, Marek (203 Czech Republic), Miloš KEŘKOVSKÝ (203 Czech Republic, guarantor, belonging to the institution), Erik STAFFA (203 Czech Republic, belonging to the institution), Josef BEDNAŘÍK (203 Czech Republic, belonging to the institution), Andrea ŠPRLÁKOVÁ-PUKOVÁ (203 Czech Republic, belonging to the institution) and Marek MECHL (203 Czech Republic, belonging to the institution)
Edition
Magnetic Resonance Imaging, New York, Society of Magnetic Resonance, 2020, 0730-725X
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30224 Radiology, nuclear medicine and medical imaging
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 2.546
RIV identification code
RIV/00216224:14110/20:00118618
Organization unit
Faculty of Medicine
UT WoS
000576737000004
Keywords in English
Diffusion tensor imaging; Spinal cord; Voxelwise analysis
Tags
International impact, Reviewed
Změněno: 8/10/2021 11:22, Mgr. Tereza Miškechová
Abstract
V originále
Robust voxelwise analysis using tract-based spatial statistics (TBSS) together with permutation statistical method is standardly used in analyzing diffusion tensor imaging (DTI) of brain. A similar analytical method could be useful when studying DTI of cervical spinal cord. Based on anatomical data of sixty-four healthy volunteers, white (WM) and gray matter (GM) masks were created and subsequently registered into DTI space. Using TBSS, two skeleton types were created (single line and dilated for WM as well as GM). From anatomical data, percentage rates of overlap were calculated for all skeletons in relation to WM and GM masks. Voxelwise analysis of fractional anisotropy values depending on age and sex was conducted. Correlation of fraction anisotropy values with age of subjects was also evaluated. The two WM skeleton types showed a high overlap rate with WM masks (similar to 94%); GM skeletons showed lower rates (56% and 42%, respectively, for single line and dilated). WM and GM areas where fraction anisotropy values differ between sexes were identified (p < .05). Furthermore, using voxelwise analysis such WM voxels were identified where fraction anisotropy values differ depending on age (p < .05) and in these voxels linear dependence of fraction anisotropy and age (r = - 0.57, p < .001) was confirmed by regression analysis. This dependence was not proven when using WM anatomical masks (r = -0.21, p = .10). The analytical approach presented shown to be useful for group analysis of DTI data for cervical spinal cord.
Links
| NV15-32133A, research and development project |
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