Published March 2015 | Version v1
Journal article

Quantification of plaque lipids in the aortic root of ApoE-deficient mice by 3D DIXON magnetic resonance imaging in an ex vivo model

  • 1. University Hospital of Erlangen-Nuremberg, Department of Cardiology and Angiology, Erlangen (Germany)
  • 2. Campus Science Support Facilities (CSF), Vienna Biocenter (VBC), Vienna (Austria)
  • 3. University Hospital of Erlangen-Nuremberg, Department of Radiology, Erlangen (Germany)
  • 4. University of Erlangen-Nuremberg, Department of Experimental and Clinical Pharmacology and Toxicology, Erlangen (Germany)

Description

To establish a dedicated protocol for the three-dimensional (3D) quantification of plaque lipids in apolipoprotein E-deficient (apoE-/-) mice using ex vivo MRI. ApoE-/- mice were fed a high-fat diet (n = 10) or normal food (n = 10) for 3 months. Subsequently, a 3D FLASH MRI sequence was used to view the anatomy of the aortic root in the isolated hearts, where a 3D double-echo two-excitation pulse sequence (DIXON sequence) was used to selectively image plaque lipids. The vessel wall, lumen and plaque lipid volumes were quantified by MRI and histology for correlation analysis. DIXON MRI allowed visualisation and accurate quantification of plaque lipids. When comparing the vessel wall, lumen and plaque lipid sizes in the aortic root, Bland-Altman and linear regression analysis revealed a close correlation between MRI results and the histological data both on a slice-by-slice basis and of the volumetric measurements (vessel wall: r2 = 0.775, p < 0.001; vessel lumen: r2 = 0.875; p = 0.002; plaque lipid: r2 = 0.819, p = 0.003). The combination of 3D FLASH and DIXON-sequence MRI permits an accurate ex vivo assessment of the investigated plaque parameters in the aortic root of mice, particularly the lipid content. (orig.)

Availability note (English)

Available from: http://dx.doi.org/10.1007/s00330-014-3456-7

Additional details

Identifiers

Publishing Information

Journal Title
European Radiology
Journal Volume
25
Journal Issue
3
Journal Page Range
p. 736-744
ISSN
0938-7994
CODEN
EURAE3