The Role of High-Frequency MRI Monitoring in the Detection of Brain Atrophy in Multiple Sclerosis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F18%3A10375557" target="_blank" >RIV/00216208:11110/18:10375557 - isvavai.cz</a>
Alternative codes found
RIV/00064165:_____/18:10375557
Result on the web
<a href="https://doi.org/10.1111/jon.12505" target="_blank" >https://doi.org/10.1111/jon.12505</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/jon.12505" target="_blank" >10.1111/jon.12505</a>
Alternative languages
Result language
angličtina
Original language name
The Role of High-Frequency MRI Monitoring in the Detection of Brain Atrophy in Multiple Sclerosis
Original language description
BACKGROUND AND PURPOSE: A relatively high intraindividual variability of longitudinal magnetic resonance imaging (MRI) of brain volume loss (BVL) measurements over time renders challenging its application to individual multiple sclerosis (MS) patients. Objective of this study was to investigate if high-frequency brain MRI monitoring affects identification of pathological BVL in an individual patient. METHODS: One hundred fifty-seven relapsing-remitting MS patients had seven MRI scans over 12 months follow-up. All 1,585 MRI scans were performed on the same 1.5T scanner using an identical scanning protocol. Volumetric analysis was performed by ScanView and SIENA software. Linear regression analysis was used for estimation of annualized BVL, with a cutoff greater than.4% defined as pathological. We compared proportions of patients with pathological BVL obtained by analysis of different number of MRI time-points. RESULTS: An analysis of seven MRI scans (months 0, 2, 4, 6, 8, 10, and 12) showed pathological BVL in 105 (65%) of patients. When three MRI scans were included (months 0, 6, and 12), we found 10 (6.4%) false negative and 9 (5.7%) false positive results compared with the analysis of seven MRI scans, used as a reference for assessment of pathological BVL. Analysis of two MRI time-points (months 0 and 12) showed 10 (6.4%) false negative and 13 (8.3%) false positive results compared with analysis of seven MRI time-points. Change in the accuracy of pathological BVL between results obtained by analysis of seven and two time-points was 14.7%. CONCLUSIONS: High-frequency MRI monitoring may have a considerable effect on improving the precision of precisely identifying pathological BVL in individual patients. However, limitations in translation to clinical practice remain.
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
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Neuroimaging
ISSN
1051-2284
e-ISSN
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Volume of the periodical
28
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
328-337
UT code for WoS article
000432015200013
EID of the result in the Scopus database
2-s2.0-85042535031