Voxelwise analysis of diffusion MRI of cervical spinal cord
using tract-based spatial statistics

J 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.

Základní údaje

Originální název

Voxelwise analysis of diffusion MRI of cervical spinal cord using tract-based spatial statistics

Autoři

DOSTÁL, Marek (203 Česká republika), Miloš KEŘKOVSKÝ (203 Česká republika, garant, domácí), Erik STAFFA (203 Česká republika, domácí), Josef BEDNAŘÍK (203 Česká republika, domácí), Andrea ŠPRLÁKOVÁ-PUKOVÁ (203 Česká republika, domácí) a Marek MECHL (203 Česká republika, domácí)

Vydání

Magnetic Resonance Imaging, New York, Society of Magnetic Resonance, 2020, 0730-725X

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30224 Radiology, nuclear medicine and medical imaging

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 2.546

Kód RIV

RIV/00216224:14110/20:00118618

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.1016/j.mri.2020.07.008

UT WoS

000576737000004

Klíčová slova anglicky

Diffusion tensor imaging; Spinal cord; Voxelwise analysis

Štítky

14110216, 14110221, 14110511, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 8. 10. 2021 11:22, Mgr. Tereza Miškechová

Anotace

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.

Návaznosti

NV15-32133A, projekt VaV

Název: Predikce konverze klinicky izolovaného syndromu do roztroušené sklerózy pomocí pokročilých technik zobrazení magnetickou rezonancí

Citovat

DOSTÁL, Marek, Miloš KEŘKOVSKÝ, Erik STAFFA, Josef BEDNAŘÍK, Andrea ŠPRLÁKOVÁ-PUKOVÁ a Marek MECHL. Voxelwise analysis of diffusion MRI of cervical spinal cord using tract-based spatial statistics. Magnetic Resonance Imaging. New York: Society of Magnetic Resonance, 2020, roč. 73, NOV 2020, s. 23-30. ISSN 0730-725X. Dostupné z: https://dx.doi.org/10.1016/j.mri.2020.07.008.

@article{1675318,
   author = {Dostál, Marek and Keřkovský, Miloš and Staffa, Erik and Bednařík, Josef and ŠprlákováandPuková, Andrea and Mechl, Marek},
   article_location = {New York},
   article_number = {NOV 2020},
   doi = {http://dx.doi.org/10.1016/j.mri.2020.07.008},
   keywords = {Diffusion tensor imaging; Spinal cord; Voxelwise analysis},
   language = {eng},
   issn = {0730-725X},
   journal = {Magnetic Resonance Imaging},
   title = {Voxelwise analysis of diffusion MRI of cervical spinal cord using tract-based spatial statistics},
   url = {https://www.sciencedirect.com/science/article/pii/S0730725X20302678},
   volume = {73},
   year = {2020}
}

TY  - JOUR
ID  - 1675318
AU  - Dostál, Marek - Keřkovský, Miloš - Staffa, Erik - Bednařík, Josef - Šprláková-Puková, Andrea - Mechl, Marek
PY  - 2020
TI  - Voxelwise analysis of diffusion MRI of cervical spinal cord using tract-based spatial statistics
JF  - Magnetic Resonance Imaging
VL  - 73
IS  - NOV 2020
SP  - 23-30
EP  - 23-30
PB  - Society of Magnetic Resonance
SN  - 0730725X
KW  - Diffusion tensor imaging
KW  - Spinal cord
KW  - Voxelwise analysis
UR  - https://www.sciencedirect.com/science/article/pii/S0730725X20302678
L2  - https://www.sciencedirect.com/science/article/pii/S0730725X20302678
N2  - 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.
ER  -

DOSTÁL, Marek, Miloš KEŘKOVSKÝ, Erik STAFFA, Josef BEDNAŘÍK, Andrea ŠPRLÁKOVÁ-PUKOVÁ a Marek MECHL. Voxelwise analysis of diffusion MRI of cervical spinal cord using tract-based spatial statistics. \textit{Magnetic Resonance Imaging}. New York: Society of Magnetic Resonance, 2020, roč.~73, NOV 2020, s.~23-30. ISSN~0730-725X. Dostupné z: https://dx.doi.org/10.1016/j.mri.2020.07.008.

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