Detail
Article
Online article
FT
Medvik - BMC
  • Something wrong with this record ?

MR Diffusion Properties of Cervical Spinal Cord as a Predictor of Progression to Multiple Sclerosis in Patients with Clinically Isolated Syndrome

M. Dostál, M. Keřkovský, J. Stulík, J. Bednařík, P. Praksová, M. Hulová, Y. Benešová, E. Koriťáková, A. Šprláková-Puková, M. Mechl

. 2021 ; 31 (1) : 108-114. [pub] 20201130

Language English Country United States

Document type Journal Article, Research Support, Non-U.S. Gov't

BACKGROUND AND PURPOSE: This study's aim was to investigate diffusion properties of the cervical spinal cord in patients with clinically isolated syndrome (CIS) through analysis of diffusion tensor imaging (DTI) data and thereby to assess the capacity of this technique for predicting the progression of CIS to clinically definite multiple sclerosis (CDMS). METHODS: The study groups were comprised of 47 patients with CIS (15 of them with progression to CDMS within 2 years of follow-up) and 57 asymptomatic controls. All patients and controls had undergone magnetic resonance imaging (MRI) of the cervical spine including DTI and brain MRI. Methodological approaches included histogram analysis of the cervical cord's diffusion parameters and evaluation of T2 hyperintense lesions of the spinal cord and brain. All parameters were compared between the study groups. Sensitivity and specificity calculations were then performed with a view to predicting conversion to CDMS. RESULTS: The patient subgroups defined by progression to CDMS differed significantly in values of fractional anisotropy (FA) kurtosis measured within white matter (WM) and normal-appearing WM (NAWM). The same parameters also differed significantly when patients with progression to CDMS were compared to healthy controls. Receiver operating characteristic (ROC) analysis revealed sensitivity and specificity of FA kurtosis of WM and NAWM of 93% and 72%, respectively, in terms of predicting CIS to CDMS progression. CONCLUSION: This study presents evidence that histogram analysis of diffusion parameters of the cervical spinal cord in patients with CIS may be helpful in predicting conversion to CDMS.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc21026271
003      
CZ-PrNML
005      
20211026133038.0
007      
ta
008      
211013s2021 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1111/jon.12808 $2 doi
035    __
$a (PubMed)33253445
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Dostál, Marek $u Department of Radiology and Nuclear Medicine, University Hospital Brno and Masaryk University, Czech Republic
245    10
$a MR Diffusion Properties of Cervical Spinal Cord as a Predictor of Progression to Multiple Sclerosis in Patients with Clinically Isolated Syndrome / $c M. Dostál, M. Keřkovský, J. Stulík, J. Bednařík, P. Praksová, M. Hulová, Y. Benešová, E. Koriťáková, A. Šprláková-Puková, M. Mechl
520    9_
$a BACKGROUND AND PURPOSE: This study's aim was to investigate diffusion properties of the cervical spinal cord in patients with clinically isolated syndrome (CIS) through analysis of diffusion tensor imaging (DTI) data and thereby to assess the capacity of this technique for predicting the progression of CIS to clinically definite multiple sclerosis (CDMS). METHODS: The study groups were comprised of 47 patients with CIS (15 of them with progression to CDMS within 2 years of follow-up) and 57 asymptomatic controls. All patients and controls had undergone magnetic resonance imaging (MRI) of the cervical spine including DTI and brain MRI. Methodological approaches included histogram analysis of the cervical cord's diffusion parameters and evaluation of T2 hyperintense lesions of the spinal cord and brain. All parameters were compared between the study groups. Sensitivity and specificity calculations were then performed with a view to predicting conversion to CDMS. RESULTS: The patient subgroups defined by progression to CDMS differed significantly in values of fractional anisotropy (FA) kurtosis measured within white matter (WM) and normal-appearing WM (NAWM). The same parameters also differed significantly when patients with progression to CDMS were compared to healthy controls. Receiver operating characteristic (ROC) analysis revealed sensitivity and specificity of FA kurtosis of WM and NAWM of 93% and 72%, respectively, in terms of predicting CIS to CDMS progression. CONCLUSION: This study presents evidence that histogram analysis of diffusion parameters of the cervical spinal cord in patients with CIS may be helpful in predicting conversion to CDMS.
650    _2
$a dospělí $7 D000328
650    _2
$a anizotropie $7 D016880
650    _2
$a mozek $x diagnostické zobrazování $x patologie $7 D001921
650    _2
$a krční mícha $x diagnostické zobrazování $x patologie $7 D066193
650    12
$a zobrazování difuzních tenzorů $7 D056324
650    12
$a progrese nemoci $7 D018450
650    _2
$a lidé $7 D006801
650    _2
$a mužské pohlaví $7 D008297
650    _2
$a lidé středního věku $7 D008875
650    _2
$a roztroušená skleróza $x diagnostické zobrazování $x patologie $7 D009103
650    _2
$a prognóza $7 D011379
650    _2
$a senzitivita a specificita $7 D012680
655    _2
$a časopisecké články $7 D016428
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Keřkovský, Miloš $u Department of Radiology and Nuclear Medicine, University Hospital Brno and Masaryk University, Czech Republic
700    1_
$a Stulík, Jakub $u Department of Radiology and Nuclear Medicine, University Hospital Brno and Masaryk University, Czech Republic
700    1_
$a Bednařík, Josef $u Department of Neurology, University Hospital Brno and Masaryk University, Czech Republic
700    1_
$a Praksová, Petra $u Department of Neurology, University Hospital Brno and Masaryk University, Czech Republic
700    1_
$a Hulová, Monika $u Department of Neurology, University Hospital Brno and Masaryk University, Czech Republic
700    1_
$a Benešová, Yvonne $u Department of Neurology, University Hospital Brno and Masaryk University, Czech Republic
700    1_
$a Koriťáková, Eva $u Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czech Republic
700    1_
$a Šprláková-Puková, Andrea $u Department of Radiology and Nuclear Medicine, University Hospital Brno and Masaryk University, Czech Republic
700    1_
$a Mechl, Marek $u Department of Radiology and Nuclear Medicine, University Hospital Brno and Masaryk University, Czech Republic
773    0_
$w MED00002833 $t Journal of neuroimaging : official journal of the American Society of Neuroimaging $x 1552-6569 $g Roč. 31, č. 1 (2021), s. 108-114
856    41
$u https://pubmed.ncbi.nlm.nih.gov/33253445 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y p $z 0
990    __
$a 20211013 $b ABA008
991    __
$a 20211026133044 $b ABA008
999    __
$a ok $b bmc $g 1715094 $s 1146778
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2021 $b 31 $c 1 $d 108-114 $e 20201130 $i 1552-6569 $m Journal of neuroimaging $n J Neuroimaging $x MED00002833
LZP    __
$a Pubmed-20211013

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...