• Je něco špatně v tomto záznamu ?

Evaluating Magnetic Resonance Diffusion Properties Together with Brain Volumetry May Predict Progression to Multiple Sclerosis

J. Stulík, M. Keřkovský, M. Kuhn, M. Svobodová, Y. Benešová, J. Bednařík, A. Šprláková-Puková, M. Mechl, M. Dostál

. 2022 ; 29 (10) : 1493-1501. [pub] 20220120

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/bmc22024222

RATIONALE AND OBJECTIVES: Although the gold standard in predicting future progression from clinically isolated syndrome (CIS) to clinically definite multiple sclerosis (CDMS) consists in the McDonald criteria, efforts are being made to employ various advanced MRI techniques for predicting clinical progression. This study's main aim was to evaluate the predictive power of diffusion tensor imaging (DTI) of the brain and brain volumetry to distinguish between patients having CIS with future progression to CDMS from those without progression during the following 2 years and to compare those parameters with conventional MRI evaluation. MATERIALS AND METHODS: All participants underwent an MRI scan of the brain. DTI and volumetric data were processed and various parameters were compared between the study groups. RESULTS: We found significant differences between the subgroups of patients differing by future progression to CDMS in most of those DTI and volumetric parameters measured. Fractional anisotropy of water diffusion proved to be the strongest predictor of clinical conversion among all parameters evaluated, demonstrating also higher specificity compared to evaluation of conventional MRI images according to McDonald criteria. CONCLUSION: Conclusion: Our results provide evidence that the evaluation of DTI parameters together with brain volumetry in patients with early-stage CIS may be useful in predicting conversion to CDMS within the following 2 years of the disease course.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc22024222
003      
CZ-PrNML
005      
20221031100814.0
007      
ta
008      
221017s2022 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1016/j.acra.2021.12.015 $2 doi
035    __
$a (PubMed)35067451
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Stulík, Jakub $u Department of Radiology and Nuclear Medicine, University Hospital Brno, Jihlavská 20 Brno, 62500, Czech Republic; Faculty of Medicine, Masaryk University, Brno, Czech Republic
245    10
$a Evaluating Magnetic Resonance Diffusion Properties Together with Brain Volumetry May Predict Progression to Multiple Sclerosis / $c J. Stulík, M. Keřkovský, M. Kuhn, M. Svobodová, Y. Benešová, J. Bednařík, A. Šprláková-Puková, M. Mechl, M. Dostál
520    9_
$a RATIONALE AND OBJECTIVES: Although the gold standard in predicting future progression from clinically isolated syndrome (CIS) to clinically definite multiple sclerosis (CDMS) consists in the McDonald criteria, efforts are being made to employ various advanced MRI techniques for predicting clinical progression. This study's main aim was to evaluate the predictive power of diffusion tensor imaging (DTI) of the brain and brain volumetry to distinguish between patients having CIS with future progression to CDMS from those without progression during the following 2 years and to compare those parameters with conventional MRI evaluation. MATERIALS AND METHODS: All participants underwent an MRI scan of the brain. DTI and volumetric data were processed and various parameters were compared between the study groups. RESULTS: We found significant differences between the subgroups of patients differing by future progression to CDMS in most of those DTI and volumetric parameters measured. Fractional anisotropy of water diffusion proved to be the strongest predictor of clinical conversion among all parameters evaluated, demonstrating also higher specificity compared to evaluation of conventional MRI images according to McDonald criteria. CONCLUSION: Conclusion: Our results provide evidence that the evaluation of DTI parameters together with brain volumetry in patients with early-stage CIS may be useful in predicting conversion to CDMS within the following 2 years of the disease course.
650    _2
$a mozek $x diagnostické zobrazování $x patologie $7 D001921
650    12
$a demyelinizační nemoci $x patologie $7 D003711
650    _2
$a zobrazování difuzních tenzorů $7 D056324
650    _2
$a progrese nemoci $7 D018450
650    _2
$a lidé $7 D006801
650    _2
$a magnetická rezonanční tomografie $x metody $7 D008279
650    _2
$a magnetická rezonanční spektroskopie $7 D009682
650    12
$a roztroušená skleróza $x diagnostické zobrazování $7 D009103
655    _2
$a časopisecké články $7 D016428
700    1_
$a Keřkovský, Miloš $u Department of Radiology and Nuclear Medicine, University Hospital Brno, Jihlavská 20 Brno, 62500, Czech Republic; Institute of Biostatistics and Analyses, Masaryk University, Czech Republic; Faculty of Medicine, Masaryk University, Brno, Czech Republic. Electronic address: kerkovsky.milos@fnbrno.cz
700    1_
$a Kuhn, Matyáš $u Department of Psychiatry, University Hospital Brno, Brno, Czech Republic; Behavioural and Social Neuroscience, CEITEC Masaryk University, Brno, Czech Republic
700    1_
$a Svobodová, Monika $u Department of Neurology, University Hospital Brno, Brno, Czech Republic; Faculty of Medicine, Masaryk University, Brno, Czech Republic
700    1_
$a Benešová, Yvonne $u Department of Neurology, University Hospital Brno, Brno, Czech Republic; Faculty of Medicine, Masaryk University, Brno, Czech Republic
700    1_
$a Bednařík, Josef $u Department of Neurology, University Hospital Brno, Brno, Czech Republic; Faculty of Medicine, Masaryk University, Brno, Czech Republic
700    1_
$a Šprláková-Puková, Andrea $u Department of Radiology and Nuclear Medicine, University Hospital Brno, Jihlavská 20 Brno, 62500, Czech Republic; Faculty of Medicine, Masaryk University, Brno, Czech Republic
700    1_
$a Mechl, Marek $u Department of Radiology and Nuclear Medicine, University Hospital Brno, Jihlavská 20 Brno, 62500, Czech Republic; Faculty of Medicine, Masaryk University, Brno, Czech Republic
700    1_
$a Dostál, Marek $u Department of Radiology and Nuclear Medicine, University Hospital Brno, Jihlavská 20 Brno, 62500, Czech Republic; Department of Biophysics, Masaryk University, Brno, Czech Republic
773    0_
$w MED00008539 $t Academic radiology $x 1878-4046 $g Roč. 29, č. 10 (2022), s. 1493-1501
856    41
$u https://pubmed.ncbi.nlm.nih.gov/35067451 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y p $z 0
990    __
$a 20221017 $b ABA008
991    __
$a 20221031100812 $b ABA008
999    __
$a ok $b bmc $g 1854120 $s 1175512
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2022 $b 29 $c 10 $d 1493-1501 $e 20220120 $i 1878-4046 $m Academic radiology $n Acad Radiol $x MED00008539
LZP    __
$a Pubmed-20221017

Najít záznam

Citační ukazatele

Možnosti archivace