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NCT03706118

Physiologic Volume and Atrophy of Brain and Spinal Cord Measured by Magnetic Resonance Imaging

Status unknown NA Last updated 29 July 2020
What this trial tests

NA trial testing Magnetic resonance imaging in Cognitive Change in 102 participants. Status unknown.

Timeline
15 March 2018
Primary endpoint
14 September 2018
1 November 2021

Quick facts

Lead sponsorDana Horakova
PhaseNA
StatusStatus unknown
Study typeINTERVENTIONAL
Allocationna
Designsingle group
Maskingnone
Primary purposebasic science
Enrollment102
Start date15 March 2018
Primary completion14 September 2018
Estimated completion1 November 2021
Sites1 location across Czechia

Drugs / interventions tested

Conditions studied

Sponsor

Dana Horakova

Who can join

Adults 18 to 60, any sex, with Cognitive Change or Atrophy Brain. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Spinal cord (SC) involvement is prevalent in multiple sclerosis (MS) and contributes importantly to disease progression. To be able reliably evaluate spinal cord volume and its changes in MS patients we need to understand variability of these parameters in sex and age matched healthy controls (HC). To date, no generally available data about these parameters in HC are available. The objective of this study is to investigate age and sex matched HC by MRI to get the basic set of the data representing both cross sectional values and its longitudinal changes. The present study will also investigate different strategies how to normalize the absolute spinal cord and brain volume data, what is a relationship between spinal cord volume and brain volume and what is the best protocol to be used in a routine clinical practice.

Publications & conference data

6 peer-reviewed publications reference this trial (live from Europe PMC):

  1. Periventricular gradient of T<sub>1</sub> tissue alterations in multiple sclerosis.
    Vaneckova M, Piredda GF, Andelova M, Krasensky J, et al · · 2022 · cited 18× · PMID 35561554 · DOI 10.1016/j.nicl.2022.103009
  2. Prognostic value of single-subject grey matter networks in early multiple sclerosis.
    Fleischer V, Gonzalez-Escamilla G, Pareto D, Rovira A, et al · · 2024 · cited 17× · PMID 37642541 · DOI 10.1093/brain/awad288
  3. Oxidative Stress Markers in Cerebrospinal Fluid of Newly Diagnosed Multiple Sclerosis Patients and Their Link to Iron Deposition and Atrophy.
    Burgetova A, Dusek P, Uher T, Vaneckova M, et al · · 2022 · cited 13× · PMID 35741175 · DOI 10.3390/diagnostics12061365
  4. Disentangling Neurodegeneration From Aging in Multiple Sclerosis Using Deep Learning: The Brain-Predicted Disease Duration Gap.
    Pontillo G, Prados F, Colman J, Kanber B, et al · · 2024 · cited 9× · PMID 39496109 · DOI 10.1212/wnl.0000000000209976
  5. Quantitative brain morphometry identifies cerebellar, cortical, and subcortical gray and white matter atrophy in late-onset Tay-Sachs disease.
    Májovská J, Nestrašil I, Ahmed A, Bondy MT, et al · · 2024 · cited 5× · PMID 38112342 · DOI 10.1002/jimd.12700
  6. CSF Markers of Oxidative Stress Are Associated with Brain Atrophy and Iron Accumulation in a 2-Year Longitudinal Cohort of Early MS.
    Burgetova A, Dusek P, Uher T, Vaneckova M, et al · · 2023 · cited 4× · PMID 37373196 · DOI 10.3390/ijms241210048

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