- Poster presentation
- Open Access
Myocardial extracellular volume imaging allows quantitative assessment of atypical late gadolinium enhancement
© Ugander et al; licensee BioMed Central Ltd. 2010
- Published: 21 January 2010
- Cardiovascular Magnetic Resonance
- Late Gadolinium Enhancement
- Normal Myocardium
- Late Gadolinium Enhancement Image
Late gadolinium enhancement (LGE) images by cardiovascular magnetic resonance (CMR) display relative differences in gadolinium concentration in the myocardium. There are many factors influencing signal intensity in LGE images such as: non-linearity between gadolinium concentration and signal intensity, inversion time, contrast dose, renal clearance, and timing of imaging after contrast injection. While these factors are not typically problematic in infarct imaging, conditions with more subtle changes in the myocardium can be more difficult to interpret.
The specific aim of the study was to acquire quantitative pixel-wise parametric maps of the extracellular volume (ECV) fraction in subjects with a range of pathological and normal conditions. We hypothesized that ECV imaging could quantitatively differentiate between regions of atypical LGE and normal myocardium.
Consecutive clinically referred patients (n = 15) were scanned at 1.5 T (Siemens) with a Modified Look-Locker Inversion-recovery (MOLLI) sequence acquired before and at approximately 15 minutes after a 0.15 mmol/kg bolus of Gd-DTPA. T1 and R1 (1/T1) pixel maps were generated. DeltaR1 maps (R1 after - R1 before contrast) were divided by the DeltaR1 value of the LV blood pool and multiplied by [1-hematocrit], thus yielding a quantitative pixel map of the ECV fraction ranging from 0-100%.
Quantitative extracellular volume imaging is promising since it showed no overlap between ECV values for normal and abnormal myocardium. There are many potential benefits to ECV imaging. It is largely independent of inversion time, contrast dose, renal clearance, and timing of imaging after contrast injection. Thus, ECV imaging offers a potential to quantitatively define normal myocardium and improve confidence when identifying subtle abnormalities in the myocardial ECV such as atypical enhancement.
This article is published under license to BioMed Central Ltd.