OBJECTIVE: To develop a technique for volumetric analysis of real time three dimensional echocardiography (RT3DE) data aimed at quantifying left ventricular (LV) mass and to validate the technique against magnetic resonance (MR) assumed as the reference standard. DESIGN: RT3DE, which has recently become widely available, provides dynamic pyramidal data structures that encompass the entire heart and allows four dimensional assessment of cardiac anatomy and function. However, analysis techniques for the quantification of LV mass from RT3DE data are fundamentally two dimensional, rely on geometric modelling, and do not fully exploit the volumetric information contained in RT3DE datasets. Twenty one patients underwent two dimensional echocardiography (2DE), RT3DE, and cardiac MR. LV mass was measured from 2DE and MR images by conventional techniques. RT3DE data were analysed to semiautomatically detect endocardial and epicardial LV surfaces by the level set approach. From the detected surfaces, LV mass was computed directly in the three dimensional space as voxel counts. RESULTS: RT3DE measurement was feasible in 19 of 21 patients and resulted in higher correlation with MR (r = 0.96) than did 2DE (r = 0.79). RT3DE measurements also had a significantly smaller bias (-2.1 g) and tighter limits of agreement (2SD = +/-23 g) with MR than did the 2DE values (bias (2SD) -34.9 (50) g). Additionally, interobserver variability of RT3DE (12.5%) was significantly lower than that of 2DE (24.1%). CONCLUSIONS: Direct three dimensional model independent LV mass measurement from RT3DE images is feasible in the clinical setting and provides fast and accurate assessment of LV mass, superior to the two dimensional analysis techniques.
OBJECTIVE: To develop a technique for volumetric analysis of real time three dimensional echocardiography (RT3DE) data aimed at quantifying left ventricular (LV) mass and to validate the technique against magnetic resonance (MR) assumed as the reference standard. DESIGN: RT3DE, which has recently become widely available, provides dynamic pyramidal data structures that encompass the entire heart and allows four dimensional assessment of cardiac anatomy and function. However, analysis techniques for the quantification of LV mass from RT3DE data are fundamentally two dimensional, rely on geometric modelling, and do not fully exploit the volumetric information contained in RT3DE datasets. Twenty one patients underwent two dimensional echocardiography (2DE), RT3DE, and cardiac MR. LV mass was measured from 2DE and MR images by conventional techniques. RT3DE data were analysed to semiautomatically detect endocardial and epicardial LV surfaces by the level set approach. From the detected surfaces, LV mass was computed directly in the three dimensional space as voxel counts. RESULTS: RT3DE measurement was feasible in 19 of 21 patients and resulted in higher correlation with MR (r = 0.96) than did 2DE (r = 0.79). RT3DE measurements also had a significantly smaller bias (-2.1 g) and tighter limits of agreement (2SD = +/-23 g) with MR than did the 2DE values (bias (2SD) -34.9 (50) g). Additionally, interobserver variability of RT3DE (12.5%) was significantly lower than that of 2DE (24.1%). CONCLUSIONS: Direct three dimensional model independent LV mass measurement from RT3DE images is feasible in the clinical setting and provides fast and accurate assessment of LV mass, superior to the two dimensional analysis techniques.
Authors: Harald P Kühl; Marcus Schreckenberg; Dierk Rulands; Markus Katoh; Wolfgang Schäfer; Georg Schummers; Arno Bücker; Peter Hanrath; Andreas Franke Journal: J Am Coll Cardiol Date: 2004-06-02 Impact factor: 24.094
Authors: Victor Mor-Avi; Lissa Sugeng; Lynn Weinert; Peter MacEneaney; Enrico G Caiani; Rick Koch; Ivan S Salgo; Roberto M Lang Journal: Circulation Date: 2004-09-20 Impact factor: 29.690
Authors: N B Schiller; P M Shah; M Crawford; A DeMaria; R Devereux; H Feigenbaum; H Gutgesell; N Reichek; D Sahn; I Schnittger Journal: J Am Soc Echocardiogr Date: 1989 Sep-Oct Impact factor: 5.251
Authors: Katarzyna Gruszczyńska; Lukasz J Krzych; Krzysztof S Gołba; Jolanta Biernat; Tomasz Roleder; Marek A Deja; Piotr Ulbrych; Marcin Malinowski; Piotr Janusiewicz; Stanisław Woś; Jan Baron Journal: Med Sci Monit Date: 2012-03