Regional Mean Systolic Myocardial Velocity Estimation by Real-Time Color Doppler Myocardial Imaging: A New Technique for Quantifying Regional Systolic Function

Wilkenshoff, Ursula; Sovany, Agnes; Wigström, Lars; Olstad, Bjørn Harald; Lindström, Lena; Engvall, Jan; Janerot-Sjöberg, Birgitta; Wranne, Bengt; Hatle, Liv; Sutherland, George R.

doi:10.1053/je.1998.v11.a90584

Cited by 161 publications

(93 citation statements)

References 30 publications

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“…Physiological differences in contraction times were characterized by an increase in F mc from apex to base, with the highest values in the septal wall as previously described (4). Mean radial endocardial velocity ranged between 3.7 and 6.8 cm/s and were consistent with those provided by Miyatake et al (19), ie, 5.1 Ϯ 1.0 cm/s in the posterior wall and slightly higher than those obtained in another echocardiography study (20) that ranged between 1.9 and 4.9 cm/s. This slight overestimation was probably due to the differences in the directions of measurements (along the ultrasound beam in echocardiography and along the perpendicular to the endocardial border in our approach).…”

Section: Discussionsupporting

confidence: 89%

“…This slight overestimation was probably due to the differences in the directions of measurements (along the ultrasound beam in echocardiography and along the perpendicular to the endocardial border in our approach). In addition, our values showed the same trend as those described in the literature with the lowest mean radial velocity values in the anteroseptal wall (20,21) and a decrease from apex to base (5). Accordingly, the ability of our technique to detect small physiological delays encourages its application in the context of myocardial ischemia (22) to help in objective detection of LV dysfunction.…”

Section: Discussionsupporting

confidence: 85%

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Automated estimation of regional mean transition times and radial velocities from cine magnetic resonance images: Evaluation in normal subjects

El-Berbari¹,

Kachenoura²,

Redheuil³

et al. 2009

Magnetic Resonance Imaging

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Purpose:To assess regional ventricular function via an accurate and automated definition of functional parameters. Materials and Methods:An automated method is proposed that estimates reliable regional normalized mean transition times (F mc ) and mean radial velocities (V m ) from cine images. This approach combines a quantitative parametric imaging method and an automated detection of the endocardial border, which is robust to the presence of papillary muscles and nonhomogeneities within the left ventricular cavity. Steadystate free-precession cine-magnetic resonance imaging (MRI) of 36 healthy subjects was analyzed.Results: The quality of the automated segmentation was assessed on a subgroup of 20 subjects by comparing the results with the manual contours traced by an expert. The comparison of functional parameters estimated consequently using the automated and the manual contours yielded (y ϭ 0.959x ϩ 0.016, R ϭ 0.964) for F mc and (y ϭ 0.883x ϩ 0.505, R ϭ 0.935) for V m . On the entire group, F mc was equal to 0.392 Ϯ 0.069 and V m to 5.4 Ϯ 2.3 cm/s. Increasing values of the temporal parameter from the apex to the base and larger values in the septal wall than in lateral wall were demonstrated and were in accordance with the physiology. Conclusion:The proposed method ensures an automated and robust assessment of regional wall motion parameters, which could be clinically useful.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionsupporting

confidence: 85%

Automated estimation of regional mean transition times and radial velocities from cine magnetic resonance images: Evaluation in normal subjects

El-Berbari¹,

Kachenoura²,

Redheuil³

et al. 2009

Magnetic Resonance Imaging

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“…However, regional Doppler tissue velocities in one area are affected by motion of the adjacent regions as well as the whole heart translational motion [7][8][9]. Therefore, this method may not be quite accurate in assessing regional wall motion, which has been posed as a limitation of this technique.…”

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confidence: 99%

Quantitative Assessment of Wall Motion Using Myocardial Strain

et al. 2003

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Background: Since regional tissue velocities are affected by motion of the adjacent regions as well as the whole heart translational motion, the quantification of wall motion using conventional tissue Doppler method may be questionable.Recently, a new echocardiographic system which enables the calculation of myocardial strain based on tissue Doppler information has been developed. Methods:We investigated whether myocardial strain could quantify regional myocardial contraction in 13 patients with normal wall motion and in 18 patients with wall motion abnormalities. Left ventricular segmental wall motion was assessed with conventional 2-dimensional echocardiography at the apical 2-, 3-, and 4-chamber views. The same views were imaged also with tissue Doppler method to determine regional systolic myocardial strain.Results: By 2-dimensional echocardiography, 230 segments were judged normokinesis, 83 segments hypokinesis and 23 segments showed akinesis. No segments showed dyskinesis. Peak systolic strain values of normokinetic, hypokinetic and akinetic wall segments were significantly different from each other (-20.1±5.5% for normokinesis, -11.9±5.0% for hypokinesis, p<0.0001 vs. normokinesis, and -6.3±3.4% for akinesis, p<0.0001 vs. normokinesis and p<0.0001 vs. hypokinesis) without significant overlap. Peak systolic strain values in normal subjects were similar among all segments, suggesting insignificant regional variations (p=ns). Conclusion:Systolic myocardial strain agreed well with assessed wall motion. Myocardial strain imaging may be a new powerful tool to quantify regional wall contraction. (J Echocardiogr 2003; 1: 23-28)

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“…With this system, it has become possible to record Doppler signals of low speed but high amplitude caused by the movement of the myocardium. 12,13) During ventricular systole and diastole, arterial wall movements which cause a differentiation in the diameter of the proximal aortic lumen also occur. If these wall movements can be recorded reproducibly by CDTI, it will be possible to form an opinion about the changes in the elastic structure of the aorta.…”

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confidence: 99%

<b>Color Doppler Tissue Imaging in Assessing the Elastic Properties of the Aorta and in Predicting Coronary Artery Disease</b>

et al. 2002

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SUMMARYWe hypothesized that the change in aortic elastic properties could directly be shown with color Doppler tissue imaging (CDTI), that these findings could be related to aortic stiffness and distensibility and that, through these, coronary artery disease (CAD) could be predicted.One hundred and twenty six patients (group I: 83 with CAD, mean age 54±10 years, 18 female, 65 male; group II: 43 without CAD, mean age 53±10 years, 27 female, 16 male) having been evaluated for coronary artery disease by angiography were examined by echocardiography. Arterial pressure was measured immediately before echocardiographic evaluation. Internal aortic systolic and diastolic diameters by M-mode echocardiography and aortic upper wall tissue velocities (Aortic S, E, A, m/sec) by CDTI were measured 3 cm above the aortic valve. Lateral mitral annulus tissue velocities (Annulus S, E, A, m/sec) were also recorded. Aortic distensibility (cm 2 •dynes -1 ) and aortic stiffness index were calculated using formulas. In the statistical analyses, CAD risk factors and left ventricular ejection fraction were used for adjustment.Aortic stiffness (2.79±3.49 vs 1.62±1.31, P=0.03), distensibility (1.55±1.46 vs 2.37±3.08, P=0.04), and aortic S velocity (0.057±0.016 vs 0.064±0.015, P=0.02) differed significantly between groups I and II. After adjustment, while aortic stiffness and S velocity were still statistically different (P=0.04; P=0.03 respectively), the significance of the difference in aortic distensibility disappeared (P=0.051). Aortic stiffness and aortic S velocity (0.06 m/sec<) were important CAD determinants (Odds ratio=1.4 P=0.03; Odds ratio=3.6 P=0.01, respectively), but aortic distensibility was not. Aortic stiffness was correlated only with aortic S velocity (r=-0.28, P=0.01), and aortic distensibility had a significantly positive correlation with aortic S velocity (r= 0.20, P=0.02). The interobserver and intraobserver correlation coefficients for aortic S velocities were 0.65 and 0.71, respectively (P<0.05).Elastic properties of the aorta can directly be assessed by reproducibly measuring the movements in the upper wall of the aorta by CDTI. Reduced aortic S velocity is associFrom the

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Regional Mean Systolic Myocardial Velocity Estimation by Real-Time Color Doppler Myocardial Imaging: A New Technique for Quantifying Regional Systolic Function

Cited by 161 publications

References 30 publications

Automated estimation of regional mean transition times and radial velocities from cine magnetic resonance images: Evaluation in normal subjects

Automated estimation of regional mean transition times and radial velocities from cine magnetic resonance images: Evaluation in normal subjects

Quantitative Assessment of Wall Motion Using Myocardial Strain

<b>Color Doppler Tissue Imaging in Assessing the Elastic Properties of the Aorta and in Predicting Coronary Artery Disease</b>

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