Clinical feasibility of longitudinal lateral ventricular volume measurements on T2-FLAIR across MRI scanner changes

Dejan Jakimovski1, Robert Zivadinov2, Niels Bergsland3

  • 1Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.

Neuroimage. Clinical
|January 20, 2021
PubMed
Abstract

Insights

Brain atrophy measurement using lateral ventricular volume (LVV) on T2-FLAIR images is a feasible marker for disability progression in patients with multiple sclerosis (PwMS). This method remains reliable despite variations in MRI scanner field strengths.

Area of Science:

  • Neuroimaging
  • Neurology
  • Medical Imaging Analysis

Background:

  • Greater brain atrophy correlates with disability progression (DP) in patients with multiple sclerosis (PwMS).
  • Methodological challenges have historically limited the routine clinical application of atrophy measures.
  • Standardized and reliable atrophy quantification is crucial for monitoring disease course in PwMS.

Purpose of the Study:

  • To assess the feasibility of using brain atrophy measures as reliable markers of DP in PwMS.
  • To evaluate atrophy measures across different MRI field strengths (1.5 T and 3.0 T).
  • To determine the impact of MRI scanner variability on atrophy quantification.

Main Methods:

  • Retrospective analysis of 980 PwMS scanned on 1.5 T or 3.0 T MRI scanners.
  • Measurement of lateral ventricular volume (LVV) change using the NeuroSTREAM technique on T2-FLAIR images.
  • Measurement of percent brain volume change (PBVC) using SIENA and ventricular cerebrospinal fluid (vCSF) % change using VIENA and SIENAX on 3D T1-weighted images.
  • Comparison of atrophy measures between stable PwMS and those with DP using ANCOVA and mixed modeling.

Main Results:

  • Longitudinal LVV analysis was successful in all PwMS, demonstrating high feasibility.
  • PwMS with DP exhibited significantly greater absolute and annualized LVV % change compared to stable PwMS.
  • NeuroSTREAM (LVV) and VIENA (vCSF) methods showed greater atrophy in PwMS scanned on different scanners, indicating robustness.
  • SIENA-based PBVC and SIENAX-based vCSF % changes were significantly affected by scanner changes, highlighting limitations.

Conclusions:

  • Lateral ventricular volume (LVV)-based atrophy measurement on T2-FLAIR images is a clinically relevant and feasible marker for disability progression in PwMS.
  • This method demonstrates reliability despite variations in MRI scanner field strengths and mild disability levels.
  • NeuroSTREAM technique offers a robust approach for atrophy assessment in PwMS, unaffected by scanner changes.