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Cross-sectional echocardiography. I. Analysis of mathematic models for quantifying mass of the left ventricle in dogs.

Wyatt, H L, Heng, M K, Meerbaum, S, Hestenes, J D, Cobo, J M, Davidson, R M, Corday, E·1979·Circulation

Abstract

Cross-sectional echocardiography was used to quantify left ventricular mass noninvasively in 21 dogs. Short- and long-axis cross-sectional images of the left ventricle were reproducibly traced at endocardial and epicardial borders during stop-motion video-tape replay. We used area, length and diameter measurements to calculate left ventricular mass by seven mathematic models, including the standard formulas used with M-mode echocardiography and cineangiography. Calculated mass was compared with excised weight of the left ventricle by regression and percent error analyses. Formulas using short-axis areas and long-axis length resulted in higher correlation coefficients (0.94--0.95) and lower mean errors (6--7%) than for standard formulas. Since short-axis areas account for regional left ventricular irregularities, noninvasive quantification of left ventricular mass by cross-sectional echocardiography in dogs is most accurate with formulas using short-axis areas.

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Metadata

Authors
Wyatt, H. L., Heng, M. K., Meerbaum, S., Hestenes, J. D., Cobo, J. M., Davidson, R. M., & Corday, E.
Venue
Circulation
Published
1979-11
Volume
60
Issue
5
Pages
1104-1113
ISSN
  • 0009-7322 (ISSN-L)
  • 1524-4539
OpenAlex
W2122786566
Cited by
368
References
0
FWCI
10.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cross-sectional echocardiography. I. Analysis of mathematic models for quantifying mass of the left ventricle in dogs. https://app.cochat.ai/papers/10.1161/01.cir.60.5.1104
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Wyatt, H. L., Heng, M. K., Meerbaum, S., Hestenes, J. D., Cobo, J. M., Davidson, R. M., & Corday, E. (1979). Cross-sectional echocardiography. I. Analysis of mathematic models for quantifying mass of the left ventricle in dogs. Circulation. https://doi.org/10.1161/01.cir.60.5.1104

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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.