Cervical spinal cord MR diffusion properties and their predictive value in patients with clinically isolated syndrome

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F19%3A00071953" target="_blank" >RIV/65269705:_____/19:00071953 - isvavai.cz</a>

Výsledek na webu

<a href="https://epos.myesr.org/poster/esr/ecr2019/C-0510" target="_blank" >https://epos.myesr.org/poster/esr/ecr2019/C-0510</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.26044/ecr2019/C-0510" target="_blank" >10.26044/ecr2019/C-0510</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Cervical spinal cord MR diffusion properties and their predictive value in patients with clinically isolated syndrome

Popis výsledku v původním jazyce

Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system (CNS). Histopathologically It characterized by an inflammatory infiltration, demyelination, axonal loss and gliosis in various areas of CNS (1). Clinically isolated syndrome (CIS) is a term describing the first clinical event, which is suspicious of the inflammatory demyelinating attack or initial stage of MS (2). Magnetic resonance imaging (MRI) is currently a key method in the diagnostic algorithm for MS. Conventional MRI based on T2-weighted sequences is able to detect the hyperintense lesions of the brain and spinal cord tissues, these findings have known prognostic value in terms of conversion of CIS to clinically definite multiple sclerosis (CDMS) based on McDonald criteria (3). Spinal cord seems to play an important role in pathogenesis of MS as some authors have stated that the presence of spinal cord lesions detectable with MRI can be an independent predictor of CDMS development in patients with CIS (4). Nevertheless, there are other MRI techniques known to detect white matter structural pathology more sensitively than do the commonly used sequences. One of these is diffusion tensor imaging (DTI), which is based on an analysis of anisotropy and directional characteristics of water diffusivity in tissue (5). The excellent sensitivity of this technique can be documented especially by the reports of an occult damage occurring in normally appearing white matter (NAWM) of the brain in patients with MS (6). Although DTI of the spine is technically more demanding and comparatively less intensively studied, there are several reports emphasizing the power of DTI for the detection of demyelinating changes of spinal cord as well (7,8). However, the value of DTI of the spinal cord in terms of prediction of the conversion of CIS to CDMS is not entirely known. Thus, the main purpose of this study is to investigate the diffusion properties of the cervical spinal cord in patients with early-stage CIS through histogram analysis of DTI data and to establish the power of this technique to predict the conversion of CIS to CDMS. DTI is a valuable tool for the investigation of ultrastructural abnormalities of the cervical spinal cord in patients with early-stage CIS as we have prooven significant abnormalities in histograms of several diffusion parameters measured within the cervical spinal cord WM and GM in those patients compared to a cohort of healthy volunteers. Moreover, histogram analysis of DTI data appears to be able to predict the conversion of CIS to CDMS within two years of observation significantly more accurately compared to the volume of hyperintense lesions visible on conventional T2-weighted images.

Název v anglickém jazyce

Cervical spinal cord MR diffusion properties and their predictive value in patients with clinically isolated syndrome

Popis výsledku anglicky

Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system (CNS). Histopathologically It characterized by an inflammatory infiltration, demyelination, axonal loss and gliosis in various areas of CNS (1). Clinically isolated syndrome (CIS) is a term describing the first clinical event, which is suspicious of the inflammatory demyelinating attack or initial stage of MS (2). Magnetic resonance imaging (MRI) is currently a key method in the diagnostic algorithm for MS. Conventional MRI based on T2-weighted sequences is able to detect the hyperintense lesions of the brain and spinal cord tissues, these findings have known prognostic value in terms of conversion of CIS to clinically definite multiple sclerosis (CDMS) based on McDonald criteria (3). Spinal cord seems to play an important role in pathogenesis of MS as some authors have stated that the presence of spinal cord lesions detectable with MRI can be an independent predictor of CDMS development in patients with CIS (4). Nevertheless, there are other MRI techniques known to detect white matter structural pathology more sensitively than do the commonly used sequences. One of these is diffusion tensor imaging (DTI), which is based on an analysis of anisotropy and directional characteristics of water diffusivity in tissue (5). The excellent sensitivity of this technique can be documented especially by the reports of an occult damage occurring in normally appearing white matter (NAWM) of the brain in patients with MS (6). Although DTI of the spine is technically more demanding and comparatively less intensively studied, there are several reports emphasizing the power of DTI for the detection of demyelinating changes of spinal cord as well (7,8). However, the value of DTI of the spinal cord in terms of prediction of the conversion of CIS to CDMS is not entirely known. Thus, the main purpose of this study is to investigate the diffusion properties of the cervical spinal cord in patients with early-stage CIS through histogram analysis of DTI data and to establish the power of this technique to predict the conversion of CIS to CDMS. DTI is a valuable tool for the investigation of ultrastructural abnormalities of the cervical spinal cord in patients with early-stage CIS as we have prooven significant abnormalities in histograms of several diffusion parameters measured within the cervical spinal cord WM and GM in those patients compared to a cohort of healthy volunteers. Moreover, histogram analysis of DTI data appears to be able to predict the conversion of CIS to CDMS within two years of observation significantly more accurately compared to the volume of hyperintense lesions visible on conventional T2-weighted images.

Druh

O - Ostatní výsledky

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

2019

Kód důvěrnosti údajů

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