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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • 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