Ellipsoidal shell subtraction model of right ventricular volume. Comparison with regional free wall dimensions as indexes of right ventricular function.

Feneley, Michael P.; Elbeery, Joseph R; Gaynor, J. William; Gall, Stanley A.; Davis, James W.; Rankin, J S

doi:10.1161/01.res.67.6.1427

Cited by 57 publications

(41 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The accuracy of the invasive SSM in normal and volume-overloaded canine hearts has been verified in previous publications from our laboratory (6,7). In addition, the prism method was shown on casts to compute RV chamber volumes that closely coincide to those by water displacement.…”

Section: Discussionmentioning

confidence: 53%

“…RT3D images of the right ventricle were obtained on seven awake, large (23-30 kg) adult dogs of either sex, chronically instrumented with sonomicrometric crystals for volume measurements using the shell subtraction (SSM) model (6,7,14,22,25) both under control conditions and during subacute, surgically induced (chordal rupture) volume overload. Cardiac chamber casts were obtained in another eight dogs of comparable size and characteristics at the end of unrelated surgical experiments.…”

Section: Methodsmentioning

confidence: 99%

“…The RV chamber volume was also calculated from the instantaneous sonomicrometric dimensions by the standard SSM formulas (6,7,14,22,25). The volumetric inflow rate through the tricuspid orifice was obtained digitally as the time derivative of the RV chamber volume by using the central difference method.…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

RV functional imaging: 3-D echo-derived dynamic geometry and flow field simulations

Pasipoularides

Shu

Womack

et al. 2003

American Journal of Physiology-Heart and Circulatory Physiology

View full text Add to dashboard Cite

We describe a novel functional imaging approach for quantitative analysis of right ventricular (RV) blood flow patterns in specific experimental animals (or humans) using real-time, three-dimensional (3-D) echocardiography (RT3D). The method is independent of the digital imaging modality used. It comprises three parts. First, a semiautomated segmentation aided by intraluminal contrast medium locates the RV endocardial surface. Second, a geometric scheme for dynamic RV chamber reconstruction applies a time interpolation procedure to the RT3D data to quantify wall geometry and motion at 400 Hz. A volumetric prism method validated the dynamic geometric reconstruction against simultaneous sonomicrometric canine measurements. Finally, the RV endocardial border motion information is used for mesh generation on a computational fluid dynamics solver to simulate development of the early RV diastolic inflow field. Boundary conditions (tessellated endocardial surface nodal velocities) for the solver are directly derived from the endocardial geometry and motion information. The new functional imaging approach may yield important kinematic information on the distribution of instantaneous velocities in the RV diastolic flow field of specific normal or diseased hearts. cardiac image analysis; ventricular function; cardiac fluid dynamics; right ventricle; heart chamber volume QUANTITATIVE ANALYSIS of three-dimensional (3-D) digital cardiac images has become increasingly important given the recent advances in the digital cardiac imaging techniques of 3-D echocardiography, magnetic resonance imaging, computed tomography, and digital fluoroscopy (1,24,26). The growth of these digital imaging techniques is accompanied by an increasing usage of image manipulation tools, providing more elaborate image analysis and measurement and quantitative evaluation and leading to more refined diagnostic accuracy than visual interpretation alone. Moreover, complex mathematical procedures are being used to localize and highlight important changes in cardiac function that cannot be visually detected directly from the original images. With the concurrent development of high-performance computers and analytical software, a functional sort of imaging can now evolve, geared toward the creation of physiological images that are the result of a mathematical simulation derived from a set of images. Such functional imaging will allow visualization and understanding of the evolution of any dynamic process of interest (filling, ejection) within the heart. Accordingly, it should allow better insights into cardiac physiology and pathophysiology and may possibly detect warning signs of diseases not yet overt.This study developed innovative dynamic geometric chamber reconstruction models for use in functional imaging analyses of right ventricular (RV) filling dynamics and physiology. With the use of a new volumetric "prism method," it is first shown that the geometric chamber reconstructions provide accurate and reliable dynamic instantaneous RV chamber geometry ...

show abstract

Section: Discussionmentioning

confidence: 53%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

RV functional imaging: 3-D echo-derived dynamic geometry and flow field simulations

Pasipoularides

Shu

Womack

et al. 2003

American Journal of Physiology-Heart and Circulatory Physiology

View full text Add to dashboard Cite

show abstract

“…Recently, however, an ellipsoidal shell subtraction model for deter-mining RV volume by sonomicrometry was described. 5 The availability of this model permitted the investigation of RV contractile performance described in this report.…”

mentioning

confidence: 99%

Right ventricular preload recruitable stroke work, end-systolic pressure-volume, and dP/dtmax-end-diastolic volume relations compared as indexes of right ventricular contractile performance in conscious dogs.

Karunanithi

Michniewicz

Copeland

et al. 1992

Circulation Research

Self Cite

113

View full text Add to dashboard Cite

Three indexes developed originally to assess left ventricular contractile performance were applied instead to the right ventricle (RV) in 11 conscious dogs: the relation between stroke work and end-diastolic volume (EDV), termed the preload recruitable stroke work (PRSW) relation; the end-systolic pressurevolume (ESPV) relation; and the maximum dP/dt (dP/dtm )-EDV relation. The reproducibility, inotropic sensitivity, chronotropic sensitivity, and afterload sensitivity of these RV relations were compared. RV volume was determined with an ellipsoidal shell subtraction model from orthogonal dimensions measured by sonomicrometry. RV transmural pressure was measured with micromanometers. After autonomic blockade, preload was varied by repeated, transient vena caval occlusions before and during partial occlusion of the main pulmonary artery, after release of the pulmonary arterial occlusion, after calcium infusion, and over a range of heart rates induced by atrial pacing. The slope and volume-axis intercept of the PRSW relation were more reproducible (SD/mean, 7.8+33% and 6.2+4.1%, respectively) than the slope and volume-axis intercept of the ESPV relation (10.1+6.7% and 23.0±313%, both p<0.05) or the slope and volume-axis intercept of the dP/dtmax-EDV relation (43.4±70.4% and 153.8+184.6%, both p<0.05). The slope of the PRSW relation increased 32+17% (p

show abstract

“…Sonomicrometry crystals (Sonometrics, London, ONT) were implanted in the LV endocardium and mid-wall of the septum to measure the minoraxis septum-to-LV free wall (D SLVFW ) and LV anteroposterior (D LVAP ) dimensions [18][19][20]. An ultrasonic flow probe (Transonic Systems, Ithaca, NY) was placed on the ascending aorta.…”

Section: Animal Preparationmentioning

confidence: 99%

Left Ventricular Preload Determines Systolic Pressure Variation during Mechanical Ventilation in Acute Lung Injury

Mitchell¹,

Doig²,

Whitelaw³

2011

J Clinic Experiment Cardiol

View full text Add to dashboard Cite

Although volume is commonly administered to patients with hemodynamic compromise during mechanical ventilation to improve cardiac output, excessive amounts may precipitate or aggravate pulmonary edema, especially in patients with predisposing pulmonary or cardiac conditions. The ability to predict the hemodynamic response to a volume challenge should facilitate patient management and might help to avoid harm in those who are unlikely to benefit from volume loading.Systolic arterial pressure variation (SPV) during mechanical ventilation is more pronounced in hypovolemic than in euvolemic patients [1][2][3]. Cyclical changes in left ventricular (LV) preload during mechanical ventilation and the resultant changes in stroke volume are related to complex cardiopulmonary interactions including changes in external constraint and LV afterload, as well as systemic and pulmonary venous return through series and direct ventricular interaction [4][5][6][7][8][9][10][11]. The magnitude of SPV has been shown to predict responsiveness to a volume challenge [1][2][3][12][13][14][15][16]. One might anticipate that as LV and right ventricular (RV) preload increase during volume loading, changes in intrathoracic pressure would affect ventricular filling (and output) less and thus, SPV would be less. Alternatively stated, at higher filling pressures, the ventricles are on a flatter part of the Starling curve (fiber length cannot be increased further by increasing the filling pressure further). Therefore, a given airway pressure is less likely to reduce fiber length at higher filling pressures than at lower pressures where the Starling curve is steeper.We therefore assessed the relations between LV preload, output and SPV in an oleic acid (OA) induced acute lung injury (ALI) model in which LV filling pressures and positive end-expiratory pressures (PEEP) were systematically varied. We also assessed the potential value of estimated transmural LV end-diastolic pressure [left atrial enddiastolic pressure (P LAED ) -RV end-diastolic pressure (P RVED )], which reflects LV preload, in predicting volume responsiveness in our model. MethodsThis study was approved by the institutional animal care committee whose criteria are consistent with those of the American Physiological Society. Animal preparationIn 8 mongrel dogs of either sex (20-30 kg, mean 24 kg), anesthesia was induced with thiopental sodium (25 mg/kg i.v.) and midazolam (5 mg/ml bolus) and was maintained with fentanyl citrate (0.04 mg/ml i.v., initially, followed by an infusion of 4 mg/h), which was adjusted AbstractBackground: Systolic pressure variation (SPV) predicts responsiveness to volume loading during mechanical ventilation and may be related to changes in LV preload and the resultant changes in stroke volume (SV). We, therefore, tested the relations between LV preload, output and SPV in an acute lung injury (ALI) model during mechanical ventilation.

show abstract

Ellipsoidal shell subtraction model of right ventricular volume. Comparison with regional free wall dimensions as indexes of right ventricular function.

Cited by 57 publications

References 16 publications

RV functional imaging: 3-D echo-derived dynamic geometry and flow field simulations

RV functional imaging: 3-D echo-derived dynamic geometry and flow field simulations

Right ventricular preload recruitable stroke work, end-systolic pressure-volume, and dP/dtmax-end-diastolic volume relations compared as indexes of right ventricular contractile performance in conscious dogs.

Left Ventricular Preload Determines Systolic Pressure Variation during Mechanical Ventilation in Acute Lung Injury

Contact Info

Product

Resources

About