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

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F20%3A00118618" target="_blank" >RIV/00216224:14110/20:00118618 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/65269705:_____/20:00072940

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0730725X20302678" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0730725X20302678</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.mri.2020.07.008" target="_blank" >10.1016/j.mri.2020.07.008</a>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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 &lt; .05). Furthermore, using voxelwise analysis such WM voxels were identified where fraction anisotropy values differ depending on age (p &lt; .05) and in these voxels linear dependence of fraction anisotropy and age (r = - 0.57, p &lt; .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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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 &lt; .05). Furthermore, using voxelwise analysis such WM voxels were identified where fraction anisotropy values differ depending on age (p &lt; .05) and in these voxels linear dependence of fraction anisotropy and age (r = - 0.57, p &lt; .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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30224 - Radiology, nuclear medicine and medical imaging

Projekt

<a href="/cs/project/NV15-32133A" target="_blank" >NV15-32133A: Predikce konverze klinicky izolovaného syndromu do roztroušené sklerózy pomocí pokročilých technik zobrazení magnetickou rezonancí</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Magnetic Resonance Imaging

ISSN

0730-725X

e-ISSN

1873-5894

Svazek periodika

73

Číslo periodika v rámci svazku

NOV 2020

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

23-30

Kód UT WoS článku

000576737000004

EID výsledku v databázi Scopus

2-s2.0-85089265916