The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Use of myocardial strain to assess global left ventricular function: A comparison with cardiac magnetic resonance and 3-dimensional echocardiography
Open accessAbstract
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 (> or =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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Lang, R. M., Bierig, M., Devereux, R. B., Flachskampf, F. A., Foster, E., Pellikka, P. A., Picard, M. H., Roman, M. J., Seward, J., Shanewise, J. S., et al. (2005) · Journal of the American Society of Echocardiography · doi:10.1016/j.echo.2005.10.005 · Cited by 11,318
Cited by
Mor-Avi, V., Lang, R. M., Badano, L. P., Belohlavek, M., Cardim, N. M., Derumeaux, G., Galderisi, M., Marwick, T., Nagueh, S. F., Sengupta, P. P., et al. (2011) · Journal of the American Society of Echocardiography · doi:10.1016/j.echo.2011.01.015 · Cited by 1,254
Self-citationDepression increases the risk of mortality in patients with heart failure: a meta-analysis.
Gathright, E. C., Goldstein, C. M., Josephson, R. A., & Hughes, J. W. (2017) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2017.01.010 · Cited by 156
Metadata
- Authors
- Brown, J., Jenkins, C., & Marwick, T. H.
- Venue
- American Heart Journal
- Publisher
- Elsevier BV
- Published
- 2009-01
- Volume
- 157
- Issue
- 1
- Pages
- 102.e1-102.e5
- ISSN
- 0002-8703 (ISSN-L)
- OpenAlex
- W2144205025
- Cited by
- 193
- References
- 1
- FWCI
- 6.60
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Use of myocardial strain to assess global left ventricular function: A comparison with cardiac magnetic resonance and 3-dimensional echocardiography. https://app.cochat.ai/papers/10.1016/j.ahj.2008.08.032
- The paper
- Brown, J., Jenkins, C., & Marwick, T. H. (2009). Use of myocardial strain to assess global left ventricular function: A comparison with cardiac magnetic resonance and 3-dimensional echocardiography. American Heart Journal. https://doi.org/10.1016/j.ahj.2008.08.032
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.