Dynamic permeability and quantitative susceptibility: related imaging biomarkers in cerebral cavernous malformations

Abdul Ghani Mikati1, Huan Tan, Robert Shenkar

  • 1From the Section of the Neurosurgery (A.G.M., H.T., R.S., L.L., L.Z., C.S., I.A.), Brain Research Imaging Center (X.G.), and Section of Neuroradiology, Department of Diagnostic Radiology (A.S., G.C.), The University of Chicago, IL; Department of Neurosurgery, West China Hospital of Sichuan University, Sichuan, China (L.L.); MedImageMetric LLC, New York, NY (T.L.); Department of Radiology, Weill Cornell Medical College, New York, NY (Y.W.); Department of Biomedical Engineering, Cornell University, Ithaca, NY (Y.W.); Department of Radiology, NorthShore University HealthSystem, Evanston, IL (R.R.E.); Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL (R.R.E.); Functional Imaging Unit, Department of Diagnostics, Glostrup Hospital, University of Copenhagen, Copenhagen, Denmark (H.B.W.L.); and Department of Circulation and Medical Imaging, The Norwegian University of Technology and Science, Trondheim, Norway (H.B.W.L.).

Stroke
|December 5, 2013
PubMed
Abstract

Insights

In cerebral cavernous malformation (CCM) disease, increased vessel leakiness and iron buildup are linked. Novel MRI techniques show that more permeable CCM lesions have greater iron accumulation, suggesting potential biomarkers for disease monitoring.

Area of Science:

  • Neuroimaging
  • Vascular Malformations
  • Biomarkers

Background:

  • Cerebral cavernous malformation (CCM) disease involves hyperpermeability and iron deposition.
  • Understanding the relationship between these phenomena is crucial for disease management.

Purpose of the Study:

  • To investigate the relationship between hyperpermeability and iron deposition in CCM disease.
  • To utilize novel MRI techniques for assessing these pathophysiological features.

Main Methods:

  • Employed dynamic contrast-enhanced quantitative perfusion (DCE-QP) MRI to measure lesion permeability.
  • Utilized quantitative susceptibility mapping (QSM) MRI to quantify iron deposition.
  • Analyzed regions of interest in CCM lesions from 21 patients (4 sporadic, 17 familial).

Main Results:

  • A significant positive correlation was found between QSM-measured susceptibility (iron deposition) and DCE-QP-measured permeability (r=0.49, P≤0.0001).
  • This correlation remained consistent regardless of lesion volume, contrast agent, or statin use.
  • Susceptibility also correlated with lesional blood volume (r=0.4, P=0.0001) but not lesional blood flow.

Conclusions:

  • Permeability and iron deposition are interconnected in CCM disease, with leakier lesions exhibiting higher cumulative iron burden.
  • DCE-QP and QSM show promise as imaging biomarkers for monitoring CCM disease progression and therapeutic response.

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