Rapid online quantification of left ventricular volume from real-time three-dimensional echocardiographic data

Aims Determination of left ventricular (LV) volumes and ejection fraction (EF) from two-dimensional echocardiographic (2DE) images is subjective, time-consuming, and relatively inaccurate because of foreshortened views and the use of geometric assumptions. Our aims were (1) to validate a new method...

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Bibliographic Details
Published in:European heart journal 2006-02, Vol.27 (4), p.460-468
Main Authors: Jacobs, Lawrence D., Salgo, Ivan S., Goonewardena, Sascha, Weinert, Lynn, Coon, Patrick, Bardo, Dianna, Gerard, Olivier, Allain, Pascal, Zamorano, Jose L., de Isla, Leopoldo P., Mor-Avi, Victor, Lang, Roberto M.
Format: Article
Language:English
Subjects:
Biological and medical sciences
Cardiology. Vascular system
Echocardiography
Echocardiography, Three-Dimensional - standards
Ejection fraction
Female
Heart Diseases - diagnostic imaging
Heart Diseases - physiopathology
Heart Ventricles - diagnostic imaging
Humans
Linear Models
Magnetic resonance
Male
Medical sciences
Middle Aged
Observer Variation
Reproducibility of Results
Sensitivity and Specificity
Stroke Volume - physiology
Ventricular function
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Summary:Aims Determination of left ventricular (LV) volumes and ejection fraction (EF) from two-dimensional echocardiographic (2DE) images is subjective, time-consuming, and relatively inaccurate because of foreshortened views and the use of geometric assumptions. Our aims were (1) to validate a new method for rapid, online measurement of LV volumes from real-time three-dimensional echocardiographic (RT3DE) data using cardiac magnetic resonance (CMR) as the reference and (2) to compare its accuracy and reproducibility with standard 2DE measurements. Methods and results CMR, 2DE, and RT3DE datasets were obtained in 50 patients. End-systolic and end-diastolic volumes (ESV and EDV) were calculated from the 2DE images using biplane method of disks. ES and ED RT3DE datasets were analysed using prototype software designed to automatically detect the endocardial surface using a deformable shell model and calculate ESV and EDV from voxel counts. 2DE and RT3DE-derived volumes were compared with CMR (linear regression, Bland–Altman analysis). In most patients, analysis of RT3DE data required
ISSN:0195-668X
1522-9645
DOI:10.1093/eurheartj/ehi666