Evaluation of iron content in human cerebral cavernous malformation using quantitative susceptibility mapping. Academic Article uri icon

Overview

abstract

  • OBJECTIVES: The aims of this study were to investigate and validate quantitative susceptibility mapping (QSM) for lesional iron quantification in cerebral cavernous malformations (CCMs). MATERIALS AND METHODS: Magnetic resonance imaging studies were performed in phantoms and 16 patients on a 3-T scanner. Susceptibility weighted imaging, QSM, and R2* maps were reconstructed from in vivo data acquired with a 3-dimensional, multi-echo, and T2*-weighted gradient echo sequence. Magnetic susceptibility measurements were correlated to susceptibility weighted imaging and R2* results. In addition, iron concentrations from surgically excised CCM lesion specimens were determined using inductively coupled plasma mass spectrometry and correlated with QSM measurements. RESULTS: The QSM images demonstrated excellent image quality for depicting CCM lesions in both sporadic and familial cases. Susceptibility measurements revealed a positive linear correlation with R2* values (R(2) = 0.99 for total, R(2) = 0.69 for mean; P < 0.01). Quantitative susceptibility mapping values of known iron-rich brain regions matched closely with those of previous studies and in interobserver consistency. A strong correlation was found between QSM and the concentration of iron phantoms (0.925; P < 0.01), as well as between QSM and mass spectroscopy estimation of iron deposition (0.999 for total iron, 0.86 for iron concentration; P < 0.01) in 18 fragments of 4 excised human CCM lesion specimens. CONCLUSIONS: The ability of QSM to evaluate iron deposition in CCM lesions was illustrated via phantom, in vivo, and ex vivo validation studies. Quantitative susceptibility mapping may be a potential biomarker for monitoring CCM disease activity and response to treatments.

publication date

  • July 1, 2014

Research

keywords

  • Brain Neoplasms
  • Hemangioma, Cavernous, Central Nervous System
  • Image Interpretation, Computer-Assisted
  • Iron
  • Magnetic Resonance Imaging

Identity

PubMed Central ID

  • PMC4254705

Scopus Document Identifier

  • 84902172723

Digital Object Identifier (DOI)

  • 10.1097/RLI.0000000000000043

PubMed ID

  • 24619210

Additional Document Info

volume

  • 49

issue

  • 7