- Poster presentation
- Open Access
In-vivo assessment of the diagnostic performance of DENSE in patients with myocardial infarction
© McComb et al.; licensee BioMed Central Ltd. 2014
- Published: 16 January 2014
- 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, and which has been shown to be more sensitive to the presence of late gadolinium enhancement (LGE) than wall thickening measured from cine images. 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.
Intra-operator repeatability (CoV %)
Inter-operator limits of agreement
Inter-scan limits of agreement
Segments correctly identified (%):
1 - 25% LGE
26 - 50% LGE
51 - 75% LGE
76 - 100% LGE
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.
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