Subtle blood-brain barrier leakage rate and spatial extent: Considerations for dynamic contrast-enhanced MRI

Harm J van de Haar1,2,3, Jacobus F A Jansen1,3, Cécile R L P N Jeukens1

  • 1Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, PO box 5800, Maastricht, 6202 AZ, The Netherlands.

Medical Physics
|May 12, 2017
PubMed
Abstract

Insights

Detecting subtle blood-brain barrier (BBB) leakage in neurodegenerative diseases requires optimized dynamic contrast-enhanced MRI (DCE-MRI). The new measure, volume fraction of detectable leaking tissue (vL), is more sensitive and time-efficient than leakage rate (Ki) for identifying BBB leakage in Alzheimer's disease patients.

Area of Science:

  • Neuroimaging
  • Biomedical Engineering
  • Radiology

Background:

  • Dynamic contrast-enhanced MRI (DCE-MRI) is crucial for assessing blood-brain barrier (BBB) leakage.
  • Subtle BBB leakage in neurodegenerative disorders like dementia presents significant detection challenges due to noise.
  • Optimized DCE-MRI protocols and analysis methods are essential for accurate measurement of BBB integrity.

Purpose of the Study:

  • To introduce a novel measure, the volume fraction of detectable leaking tissue (vL), for quantifying the spatial extent of BBB leakage.
  • To evaluate the impact of scan time and sample size on the sensitivity of DCE-MRI in detecting subtle BBB leakage.
  • To compare the efficacy of vL with the traditional leakage rate (Ki) in identifying BBB abnormalities in early Alzheimer's disease.

Main Methods:

  • Dual-time resolution DCE-MRI was conducted on patients with early Alzheimer's disease (AD) and healthy controls.
  • Noise-corrected histogram analysis was used to calculate leakage rate (Ki) and vL in cortical and white matter.
  • Computer simulations were performed to assess the influence of scan time on Ki estimation, considering noise and Kivalue variations.

Main Results:

  • Leakage rate (Ki) was highly sensitive to noise, leading to overestimation at shorter scan times.
  • While Ki did not differ in white matter, cortical Ki was significantly higher in AD patients after 14.5 minutes.
  • Volume fraction of detectable leaking tissue (vL) showed significantly higher values in AD patients compared to controls in the cortex (8 min) and white matter (15.5 min).

Conclusions:

  • The study highlights the challenges of detecting subtle BBB leakage using traditional Ki measurements in DCE-MRI.
  • Volume fraction of detectable leaking tissue (vL) is presented as a more sensitive and potentially time-efficient metric for group comparisons in BBB leakage.
  • Recommendations for optimal scan times and group sizes are provided to enhance the statistical power of future DCE-MRI studies investigating BBB integrity.