Skip to content


  • Poster presentation
  • Open Access

In-vivo assessment of the diagnostic performance of DENSE in patients with myocardial infarction

  • 1, 2,
  • 3,
  • 4,
  • 1,
  • 1,
  • 1, 3 and
  • 1, 2
Journal of Cardiovascular Magnetic Resonance201416 (Suppl 1) :P190

  • Published:


  • Late Gadolinium Enhancement
  • Area Under Curve
  • Circumferential Strain
  • Contractile Dysfunction
  • Myocardial Strain


In patients with myocardial infarction (MI), an important factor in determining the long-term prognosis is the degree of regional contractile dysfunction. DENSE (Displacement ENcoding with Stimulated Echoes) is a technique which allows quantification of myocardial strain[1], and which has been shown to be more sensitive to the presence of late gadolinium enhancement (LGE) than wall thickening measured from cine images[2]. The aim of this study was to further investigate the performance of DENSE for the diagnosis and assessment of myocardial infarction.


50 male patients (age 56 ± 10 years) within 7 days of MI and 30 healthy male controls (age 45 ± 18 years) underwent CMR on a 1.5T Siemens Avanto. The protocol included DENSE and LGE (patients only) obtained from a single mid-ventricular short-axis slice, which was divided into 6 segments for analysis. The percentage of each segment which contained LGE was calculated using a threshold of mean+5SD of remote myocardium intensity. DENSE images were analysed to obtain a value for peak circumferential strain (Ecc). The following analyses were performed: (i) intra- and inter-operator and inter-scan repeatability, (ii) sensitivity and specificity for the detection of LGE, using a reference range established from control data, and ROC analysis and (iii) the ability to distinguish between non-infarcted, <50% and >50% infarction, and between remote, adjacent and infarcted segments.


The results of (i) repeatability and (ii) sensitivity, specificity and area under curve (AUC) are summarised in Table 1, along with the percentages of segments correctly identified when grouped according to extent of LGE. The reference range was calculated to be (-11.8, -27.0). Inter-operator repeatability was assessed using Levene's test (variance) and a paired t-test (mean), and no statistically significant differences were found. A paired t-test found no statistically significant difference for inter-scan repeatability. The results of (iii) are illustrated in Figure 1. Comparisons between categories were performed using a one-way ANOVA with Tukey's post-hoc test.

Table 1



Intra-operator repeatability (CoV %)


Inter-operator limits of agreement

(-3.1, 2.9)

Inter-scan limits of agreement

(-1.8, 2.0)

Sensitivity (%)


Specificity (%)




Segments correctly identified (%):

1 - 25% LGE


26 - 50% LGE


51 - 75% LGE


76 - 100% LGE


Figure 1


DENSE can be successfully applied in a clinical setting, and provides repeatable results. The sensitivity and specificity of the technique for detecting the presence of LGE are good, and the number of segments with LGE correctly identified increases as the extent of LGE increases. Peak Ecc can be used to distinguish between non-infarcted, <50% and >50% infarcted segments, but cannot identify segments which are adjacent to infarction.



Authors’ Affiliations

BHF Glasgow Cardiovascular Research Centre, Glasgow, UK
Clinical Physics, NHS Greater Glasgow and Clyde, Glasgow, UK
Cardiology, Golden Jubilee National Hospital, Glasgow, UK
MRI, Golden Jubilee National Hospital, Glasgow, UK


  1. J Magn Reson. 1999, 137: 247-252. 10.1006/jmre.1998.1676.Google Scholar
  2. Int J Cardiovasc Imaging. 2013, DOI:10.10007/s10554-013-0274-yGoogle Scholar


© McComb et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.