Evaluating Magnetic Resonance Diffusion Properties Together with Brain Volumetry May Predict Progression to Multiple Sclerosis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F22%3A00076582" target="_blank" >RIV/65269705:_____/22:00076582 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14110/22:00129729
Result on the web
<a href="https://reader.elsevier.com/reader/sd/pii/S1076633221005766?token=9566E4D6E40B30B62F4934C1079AA62E41F6F046CF79B1D10DD701822B1D0ED4467D5735C28CD9DDB9E57B7DBEF7E3A3&originRegion=eu-west-1&originCreation=20230105092920" target="_blank" >https://reader.elsevier.com/reader/sd/pii/S1076633221005766?token=9566E4D6E40B30B62F4934C1079AA62E41F6F046CF79B1D10DD701822B1D0ED4467D5735C28CD9DDB9E57B7DBEF7E3A3&originRegion=eu-west-1&originCreation=20230105092920</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.acra.2021.12.015" target="_blank" >10.1016/j.acra.2021.12.015</a>
Alternative languages
Result language
angličtina
Original language name
Evaluating Magnetic Resonance Diffusion Properties Together with Brain Volumetry May Predict Progression to Multiple Sclerosis
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30224 - Radiology, nuclear medicine and medical imaging
Result continuities
Project
<a href="/en/project/NV15-32133A" target="_blank" >NV15-32133A: Predicting conversion of clinically isolated syndrome to multiple sclerosis using advanced magnetic resonance imaging techniques</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
ACADEMIC RADIOLOGY
ISSN
1076-6332
e-ISSN
1878-4046
Volume of the periodical
29
Issue of the periodical within the volume
10
Country of publishing house
US - UNITED STATES
Number of pages
9
Pages from-to
1493-1501
UT code for WoS article
000892872500010
EID of the result in the Scopus database
2-s2.0-85123201217