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Use of myocardial strain to assess global left ventricular function: a comparison with cardiac magnetic resonance and 3-dimensional echocardiography
Citation
Brown, J and Jenkins, C and Marwick, TH, Use of myocardial strain to assess global left ventricular function: a comparison with cardiac magnetic resonance and 3-dimensional echocardiography, American Heart Journal, 157, (1) pp. 102.e1-102.e5. ISSN 0002-8703 (2009) [Refereed Article]
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Copyright Statement
Copyright 2009 Mosby, Inc.
DOI: doi:10.1016/j.ahj.2008.08.032
Abstract
Background Ejection fraction (EF) plays a prominent role in clinical decision making but remains dependent on image
quality and left ventricular geometry. Using magnetic resonance imaging (MRI-EF) as the reference standard, we sought
whether global longitudinal strain (GLS) could be an alternative to the measurement of EF.
Methods Manual and semi-automated tracing was used to measure Simpson's biplane ejection-fraction (2D-EF) and 3D ejection fraction (3D-EF) and MRI in 62 patients with previous infarction. Global longitudinal strain was measured by 2-dimensional strain (2DS) in the apical views. Automated EF was calculated using speckle tracking to detect the end-diastolic and end-systolic endocardial border.
Results Strain curves were derived in all segments, with artifactual curves being excluded. The correlation of GLS with MRI-EF (r = −0.69, P < .0001) was comparable to that between 3D-EF and MRI (r = 0.80, P < .0001), and better than that between 2D-EF (r = 0.58, P < .0001) or automated EF and MRI (r = 0.62, P < .0001). To convert GLS into an equivalent MRI-EF, linear regression was used to develop the formula EF = −4.35 * (strain + 3.9). Of the 32 patients with a normal MRI-EF (≥50%), 75% had normal systolic function by GLS, whereas 85% of patients were recognized as having a normal 3D-EF. Fewer patients were recognized as normal by 2D-EF (70%, P = .14) and automated-EF (61%, P = .04). In those with >6 abnormal segments, the correlation of GLS with MRI-EF improved significantly (r = −0.77, P < .0001) and was similar to 3D-EF (r = 0.76, P < .0001).
Conclusion Global longitudinal strain is an effective method for quantifying global left ventricular function, particularly in patients with extensive wall motion abnormalities.
Methods Manual and semi-automated tracing was used to measure Simpson's biplane ejection-fraction (2D-EF) and 3D ejection fraction (3D-EF) and MRI in 62 patients with previous infarction. Global longitudinal strain was measured by 2-dimensional strain (2DS) in the apical views. Automated EF was calculated using speckle tracking to detect the end-diastolic and end-systolic endocardial border.
Results Strain curves were derived in all segments, with artifactual curves being excluded. The correlation of GLS with MRI-EF (r = −0.69, P < .0001) was comparable to that between 3D-EF and MRI (r = 0.80, P < .0001), and better than that between 2D-EF (r = 0.58, P < .0001) or automated EF and MRI (r = 0.62, P < .0001). To convert GLS into an equivalent MRI-EF, linear regression was used to develop the formula EF = −4.35 * (strain + 3.9). Of the 32 patients with a normal MRI-EF (≥50%), 75% had normal systolic function by GLS, whereas 85% of patients were recognized as having a normal 3D-EF. Fewer patients were recognized as normal by 2D-EF (70%, P = .14) and automated-EF (61%, P = .04). In those with >6 abnormal segments, the correlation of GLS with MRI-EF improved significantly (r = −0.77, P < .0001) and was similar to 3D-EF (r = 0.76, P < .0001).
Conclusion Global longitudinal strain is an effective method for quantifying global left ventricular function, particularly in patients with extensive wall motion abnormalities.
Item Details
| Item Type: | Refereed Article |
|---|---|
| Research Division: | Biomedical and Clinical Sciences |
| Research Group: | Cardiovascular medicine and haematology |
| Research Field: | Cardiology (incl. cardiovascular diseases) |
| Objective Division: | Health |
| Objective Group: | Clinical health |
| Objective Field: | Clinical health not elsewhere classified |
| UTAS Author: | Marwick, TH (Professor Tom Marwick) |
| ID Code: | 90805 |
| Year Published: | 2009 |
| Web of Science® Times Cited: | 112 |
| Deposited By: | Menzies Institute for Medical Research |
| Deposited On: | 2014-04-24 |
| Last Modified: | 2014-05-06 |
| Downloads: | 1 View Download Statistics |
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