Donate Help Contact The AHA Sign In Home
American Heart Association
Circulation
Search: search_blue_button Advanced Search
Circulation. 1997;96:2009-2015

This Article
Right arrow Abstract Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Ishii, M.
Right arrow Articles by Sahn, D. J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Ishii, M.
Right arrow Articles by Sahn, D. J.

(Circulation. 1997;96:2009-2015.)
© 1997 American Heart Association, Inc.


Articles

Quantifying Aortic Regurgitation by Using the Color Doppler–Imaged Vena Contracta

A Chronic Animal Model Study

Masahiro Ishii, MD; Michael Jones, MD; Takahiro Shiota, MD; Izumi Yamada, MD; Russell S. Heinrich, PhD; Scott R. Holcomb, MS; Ajit P. Yoganathan, PhD; ; David J. Sahn, MD

From the Oregon Health Sciences University (M.I., T.S., S.R.H., D.J.S.), Portland; the National Heart, Lung, and Blood Institute (M.J., I.Y.), Bethesda, Md; and the Georgia Institute of Technology (R.S.H., A.P.Y.), Atlanta.

Correspondence to Michael Jones, MD, National Institutes of Health, Senior Surgeon and Investigator, National Heart, Lung, and Blood Institute, 9000 Rockville Pike, Bldg 14E Room 1074A, Bethesda, Md 20892.


*    Abstract
up arrowTop
*Abstract
down arrowIntroduction
down arrowMethods
down arrowResults
down arrowDiscussion
down arrowReferences
 
Background The aim of the present study was to evaluate the accuracy of determining aortic effective regurgitant orifice area (EROA) and aortic regurgitant volume by using the color Doppler–imaged vena contracta (CDVC).

Methods and Results Twenty-nine hemodynamically different states were obtained pharmacologically in eight sheep with surgically induced aortic regurgitation. Instantaneous regurgitant flow rates (RFRs) were obtained with aortic and pulmonary electromagnetic flowmeters (EFMs), and aortic EROAs were determined from EFM RFRs divided by continuous wave Doppler velocities. Color Doppler–derived EROAs were estimated by measuring the maximal diameters of the CDVC. Peak and mean RFRs and regurgitant volumes per beat were calculated from vena contracta area continuous wave diastolic Doppler velocity curves. Peak EFM-derived RFRs varied from 1.8 to 13.6 (6.3±3.2) L/min (range [mean±SD]), mean RFRs varied from 0.7 to 4.9 (2.7±1.3) L/min, regurgitant volumes per beat varied from 7.0 to 48.0 (26.9±12.2) mL/beat, and the regurgitant fractions varied from 23% to 78% (55±16%). EROAs determined by using CDVC measurements correlated well with reference EROAs obtained by using the EFM method (r=.91, SEE=0.07 cm2). Excellent correlations and agreements between peak and mean RFR and regurgitant volumes per beat as determined by Doppler echocardiography and EFM were also demonstrated (r=.95 to .96).

Conclusions Our study indicates that the CDVC method can be used to quantify both aortic EROAs and regurgitant flow rates.


Key Words: echocardiography • hemodynamics • imaging • valves


*    Introduction
up arrowTop
up arrowAbstract
*Introduction
down arrowMethods
down arrowResults
down arrowDiscussion
down arrowReferences
 
In the clinical management of patients with AR, accurate evaluation of the severity of regurgitation is of major importance.1 2 3 Cineangiography and color Doppler jet area methods are widely used, but both are at best semiquantitative.4 5 6 7 8 Developments in the fluid dynamic concepts governing flow and regurgitation have raised interest in defining the EROA as an indicator of the severity of regurgitant lesions.9 10 11 12 13 14 This area corresponds hydrodynamically to the cross-sectional area of the vena contracta, the smallest cross-sectional area of the regurgitant flow stream.15 We hypothesized that by using color Doppler high-resolution imaging, it should be possible to image and measure the CDVC, which is located at the junction of the narrowest portion of the proximal laminar flow acceleration zone and the most proximal portion of the turbulent regurgitant jet stream just downstream from the orifice, ie, just on the left ventricular outflow tract side of the aortic valve. The CDVC in our study corresponds hydrodynamically to the EROA. We proposed to determine the accuracy of calculating the aortic EROA by using the CDVC and to determine if regurgitant severity could be quantified from the color Doppler–derived EROA combined with CW Doppler velocities compared with quantified EFMs.


*    Methods
up arrowTop
up arrowAbstract
up arrowIntroduction
*Methods
down arrowResults
down arrowDiscussion
down arrowReferences
 
Experimental Preparation
Eight juvenile sheep weighing from 22 to 43 (mean, 33) kg were studied. AR was created surgically with the animals on cardiopulmonary bypass. The aortic valve was visualized, and the free edge of the right coronary cusp (n=3) or the noncoronary cusp (n=5) of the aortic valve was incised with a radial incision under direct vision. Subsequent aortic dilatation and/or leaflet retraction resulted in a combination of leaflet defects and failure of coaptation. Preoperative, intraoperative, and postoperative animal management and husbandry methods are described elsewhere.16 Animal management procedures were approved by the Animal Care and Use Committee of the National Heart, Lung, and Blood Institute. During the recovery period the animals were maintained on digoxin and furosemide. The animals underwent surgery again for the hemodynamic and echocardiographic studies at 8 to 20 (mean, 14±4.1) weeks after the original surgery. Anesthesia was induced by using sodium pentobarbital (25 mg/kg body wt IV) and was maintained by using 1% to 2% isoflurane with oxygen. The animals were intubated and ventilated with a volume-cycled respirator.

Cardiac Catheterization and EFMs
The animals were instrumented for the hemodynamic studies as follows. Bilateral transverse thoracotomies were performed. A catheter was placed in the main pulmonary artery via the femoral vein, and another catheter was placed into the right common femoral artery for monitoring pressures and blood gases. These catheters were interfaced with a physiological recorder (ES 2000, Gould Inc) by using fluid-filled pressure transducers (model PD23ID, Gould Statham). Arterial blood gases and pH were maintained within physiological ranges. Electromagnetic flow probes (model EP455, Carolina Medical Electronics, Inc) were placed around the skeletonized ascending aorta distal to the coronary ostia and proximal to the brachiocephalic trunk and also on the main pulmonary trunk above the pulmonary valve sinuses.

Calibration factors for the flow probes were corrected for the animals' hematocrits according to the manufacturer's specifications before each hemodynamic state. Occlusive zeros for the aortic and pulmonary probes were confirmed. Both aortic and pulmonary EFM records were displayed in the same multichannel recorder. To deal with zero baseline drift, the pulmonary artery flow zero baseline was adjusted according to the contour of its electromagnetic flow-probe signal; this baseline was reconfirmed by occlusive zeros. No animal had physiologically important pulmonary regurgitation. For determination of aortic and pulmonary flows, the integrals of aortic and pulmonary forward flows over time were determined by planimetry of the flow-signal recordings. Four consecutive cardiac cycles were analyzed for each hemodynamic measurement. The baselines for the aortic flow records were then adjusted until the forward minus the backward aortic flow volumes equaled the pulmonary forward flow volumes. The difference between the forward flows thus represented AR flow volume, as does the reversal phase of the aortic flow during diastole. Coronary arterial blood flow was measured in three sheep in a preliminary study and found to be small (0.13 to 0.23 L/min). As in other studies of AR, these values were considered negligible compared with the regurgitant volumes.9 RF was calculated as diastolic reverse aortic flow volume per minute divided by forward aortic flow volume per minute.

A hydrostatic standard was used for calibration of all pressure recordings. All hemodynamic recordings were performed simultaneously with the echocardiographic studies. After baseline measurements, varying degrees of severity of AR were produced by altering preload, afterload, or both by using blood transfusions and/or angiotensin II (Peptide Institute, Inc, provided by Tanabe Seiyaku Co). A total of 29 stable hemodynamic steady states (3 to 4 per animal) were obtained. Whole blood (usually 250 to 500 mL) was transfused to increase the pulmonary artery wedge pressure by 5 mm Hg. Alternatively, angiotensin II (2 µmol/mL) was infused at a rate necessary to increase the aortic diastolic pressure by 10 mm Hg. These strategies were implemented alone or in combination to produce and maintain an even new steady state.

Echocardiography
Echocardiography, including both color Doppler flow mapping and CW spectral Doppler studies, was performed with a Vingmed 775 system (Vingmed Sound, A/S) by using a 5-MHz, dynamically focused annular array transducer that used a 5-MHz carrier frequency for imaging and 4 or 6 MHz for color and spectral Doppler. The transducer was placed directly on the heart near the apex. A pulse repetition frequency of 4.0 to 6.0 kHz was used for color Doppler scanning. Gain settings were optimized for image quality by using the maximal color gain level that would not introduce signals outside areas of flow. Once established, depth and gain settings were not changed during the recording period. Aliasing velocities of 0.44 to 0.94 m/s were selected for the initial imaging of both the AR jet and the flow-convergence region. The aliasing velocity could be changed by postprocessing software (EchoDisp, Vingmed Sound, A/S) after the digital data were transferred to the microcomputer. Color sector size was limited to 15° to 25° to allow frame rates up to 45 frames/s and to maximize angular line density for color Doppler interrogation with a moderately high-quality setting (packet size). When the image of the vena contracta was not discrete enough to measure, we systematically reduced the frame rate to improve the quality of the image. The area of interest was then magnified. The color Doppler filter was held constant and set with a high-pass filter to minimize velocities <8 to 16 cm/s. All color Doppler echocardiographic images (as cine loops) and CW Doppler traces (as time-scroll loops) were directly transferred in digital format without analog conversion to a Macintosh II ci (Apple Computer, Inc) for later digital analysis.

Color and CW Doppler Analysis
Color flow imaging of the vena contracta was performed in the apical long-axis view. Considerable care was taken to measure the width of the vena contracta as the smallest color flow diameter of the narrowest portion of the high-velocity region just distal to the orifice at the junction of the proximal flow–convergence acceleration region and the variance-encoded turbulent regurgitant jet spray (Fig 1Down). This transition was constantly and easily visualized for flows coming toward the transducer consistently located in the left ventricular outflow tract side of the aortic valve, where the laminar aliasing flow-convergence zone meets the mosaic turbulent proximal jet. This point was observed throughout the cardiac cycle, and the largest cross-sectional area in diastole was chosen. Individual determinations from three cardiac cycles were measured and averaged. A circular configuration of the EROA was assumed, and EROA was calculated by using the maximal vena contracta width imaged in early diastole from the following formula.



View larger version (116K):
[in this window]
[in a new window]
 
Figure 1. Color two-dimensional Doppler image of the vena contracta imaged from an apical long-axis view. The width of the vena contracta is indicated at the junction between the laminar flow-convergence region and turbulent regurgitant jet (white arrows). Ao indicates aorta; LV, left ventricle; and FC, flow convergence.

CW Doppler traces of the AR jets were obtained from the apical as well as from other standard transducer positions under two-dimensional color Doppler echocardiographic guidance by using the transducer position most parallel to the AR flow that yielded the highest diastolic Doppler VTIs and regurgitant velocities. Doppler filters and gain settings were set to maximize and delineate the spectral Doppler envelope. The VTI of the AR flow was determined by planimetry of the area under the spectral Doppler velocity curve. All values were computed as an average of three consecutive beats.

RV/beat was calculated as the product of the EROA and the diastolic VTI. Thus, RV/beat was calculated as RV/beat=EROAxVTI of AR. Peak flow rate was calculated as peak flow rate=EROAxAR peak velocity and mean flow rate as mean flow rate=EROAxAR mean velocity.17 18

The EFM-derived reference peak EROA was also calculated by dividing the peak RFR by the corresponding CW Doppler velocity on the same beat, ie, reference peak EROA=(peak RFR by EFM)/(AR peak velocity by CW Doppler).

Interobserver and Intraobserver Variability
To evaluate the effect of observer variability on the EROA and the RV/beat calculated from the CDVC, two independent observers (M.I. and T.S.) analyzed 10 randomly selected hemodynamic conditions at different times with the same computer; each observer individually selected the frames to measure and had no knowledge of the results obtained by the other observer or of the electromagnetic flow data at the time. The EROA measurements were repeated by one observer (M.I.) at least 2 weeks later to evaluate intraobserver variability.

Statistical Analysis
Data are given as mean±SD. EROAs and RV/beat calculated by using the CDVC were compared with those obtained by the EFM methods by using linear correlation; agreement between the two measurements was tested according to the method of Bland and Altman.19 The EROAs were also compared with peak and mean RFRs and RV/beat by using simple linear analysis and were compared with RFs by using exponential regression analysis. Using trend analysis (polynomial regression on ordered categories of hemodynamic states), we examined each response variable individually to determine if there were linear effects of the hemodynamic states on each of the response variables. In addition, because multiple points were obtained from the same sheep and the data from each sheep were assumed to be random samples from a larger population, a separate regression model analysis was used to estimate the averaged correlation coefficients of the regressions of the data obtained echocardiographically versus data obtained hemodynamically using the electromagnetic flow probes. These analyses were performed by using least-squares regression as implemented in the statistical package S-PLUS for Windows (version 3.2 supplement, StatSci Division of Mathsoft, Inc). A probability value of <.05 was considered statistically significant.


*    Results
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
*Results
down arrowDiscussion
down arrowReferences
 
Severity of AR
Quantification of the regurgitation by the electromagnetic flow probes indicated that the animals had clinically relevant AR. Peak RFRs varied from 1.8 to 13.6 (6.3±3.2) L/min (range [mean±SD]), mean RFRs from 0.72 to 4.93 (2.7±1.3) L/min, RSVs from 7.0 to 48.0 (26.9±12.2) mL/beat, and RFs from 23% to 78% (55±16%). Heart rates ranged from 61 to 147 (101±18) bpm. There were significant differences within animals for hemodynamic volumetric conditions (peak RFR linear effect, P<.001; mean RFR linear effect, P<.001; RSV linear effect, P<.004). All other nonlinear trend effects were not significant within individual animals.

Echocardiography and Peak EROA
Color Doppler vena contracta images were successfully recorded for all 29 hemodynamic states even though, as is common clinically, all regurgitant jets were eccentric, directed toward either the intraventricular septum (n=18) or the anterior mitral leaflet (n=11).

The electromagnetic flow probe–derived EROAs varied from 0.05 to 0.46 (0.26±0.46) cm2. Good correlations were found between the EROAs estimated from the CDVC areas and those derived by using the EFM method (r=.91, P=.0001, SEE=0.07 cm2; Fig 2ADown). Agreement analysis using Bland and Altman's method19 showed a tendency for slight overestimation (Fig 2BDown). A weaker but significant relationship still existed (r=.62, P<.001) after averaging of the separate regression analyses was used to eliminate the effects caused by using multiple points from the same animal.



View larger version (23K):
[in this window]
[in a new window]
 
Figure 2. A, Regression analysis between maximal EROAs obtained by using the CDVC (VC) and EFM (EM) methods. B, Differences between calculated and electromagnetically determined maximal EROAs.

Relationship of the EROA to AR Severity
The results of linear regression analysis between EROAs determined from the CDVC, peak and mean RFRs, RSVs, and the results of the exponential correlation with EFM measurements are listed in the TableDown. The EROAs calculated by using the CDVC correlated quite strongly with volumetric measures of the severity of AR, with the best linear correlations derived from the relationship between the calculated color Doppler EROAs and the peak and mean RFRs (r=.93, .92, respectively). Weaker but significant relationships still existed (peak RFRs: r=.78, P=.001; mean RFRs: r=.81, P=.001; RSVs: r=.76, P=.001) after averaging of the separate regression analyses was used to eliminate the effects caused by using multiple points from the same animal.


View this table:
[in this window]
[in a new window]
 
Table 1. Linear Regression Analysis of EROA

Regurgitant Volume
Regression analysis between the RV/beat determined by the EFMs and the color Doppler estimates obtained by using vena contracta measurements and CW Doppler diastolic VTIs also demonstrated a close correlation (r=.95, P=.0001, SEE=5.0 mL/beat; Fig 3ADown). Good correlations between peak and mean RFRs determined by echocardiography and EFM data were also demonstrated (peak RFR: r=.95, P=.0001, SEE=1.3 L/min; mean RFR: r=.96, P=.0001, SEE=0.47 L/min; Figs 4ADown and 5ADown). Weaker but significant relationships (RV/beat: r=.87, P=.01; peak RFR: r=.85, P=.001; mean RFR: r=.72, P=.001) still existed after averaging of the separate regression analyses was used to eliminate the effects caused by using multiple points from the same animal. The color Doppler echocardiography estimations for all these flow parameters also showed a tendency for overestimation of the corresponding EFM reference results on the Bland and Altman agreement analysis19 (Figs 3BDown, 4BDown, and 5BDown).



View larger version (24K):
[in this window]
[in a new window]
 
Figure 3. A, Regression analysis between RV/beat obtained by using the CDCV method and the reference RV/beat obtained by using the electromagnetic flow (EM) method. B, Differences between calculated and electromagnetically determined RV/beat.



View larger version (21K):
[in this window]
[in a new window]
 
Figure 4. A, Correlation between peak RFRs calculated by using the CDVC and EFM (EM) methods. B, Differences between calculated and electromagnetically determined peak RFRs.



View larger version (23K):
[in this window]
[in a new window]
 
Figure 5. A, Correlation between mean RFRs calculated by using the CDVC and EFM (EM) methods. B, Differences between calculated and electromagnetically determined mean RFRs.

Interobserver and Intraobserver Variability
Excellent correlations were found between the two observers for determining the EROAs (r=.94, P=.0001, SEE=0.05 cm2) and the RV/beat (r=.95, P=.0001, SEE=3.8 mL/beat). Interobserver absolute differences were 0.02±0.06 cm2 for EROAs and 1.2±4.1 mL/beat for RV/beat as assessed by the CDVC method. Intraobserver variability was 0.02±0.02 cm2 for EROA determinations.


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
*Discussion
down arrowReferences
 
Using quantified AR in a chronic animal model, we demonstrated that methods derived from color Doppler imaging of the vena contracta within the regurgitant flow stream reliably predicted both peak EROAs and regurgitant flow volumes obtained by EFM-based reference methods.

Advantages of This Study Compared With Previous Studies
A variety of color Doppler flow-mapping methods have been proposed for noninvasively estimating the severity of AR.4 5 6 7 8 Perry et al6 studied AR jet width as a percentage of left ventricular outflow tract diameter compared with angiographic grading in 29 patients. They found this measurement to be a better predictor of severity than jet area or length. However, they did not quantify actual regurgitant flow volumes. Holm et al17 have suggested that RSV calculated by using the width of the flow stream combined with the CW Doppler diastolic VTI for AR correlates favorably with angiographic methods for grading AR. Grading AR by invasive supravalvular aortography has been the conventional and most widely accepted standard for evaluating the severity of AR and was used as a reference standard in these referenced clinical studies.6 17 Angiography, however, may be influenced by many variables, such as arrhythmia, catheter position, amount of dye injected, x-ray technique, and the size of the left ventricle and its systolic and diastolic functions, including left ventricular diastolic compliance.20 21 22 23 Quantitative left ventricular cineangiographic measurements in stroke volume combined with Fick or thermodilution methods for determining forward cardiac output have also been used for quantifying aortic regurgitant volume. These methods are limited by the problems of deriving left ventricular volume measurements from planar angiograms and by the inherent variability of the thermodilution output determinations.24 25 26

Compared with previous clinical and experimental studies on the proximal jet region in AR, our study offers several advantages. We compared the color Doppler data directly with the EFM measurements of instantaneous actual RFRs. As a reference standard for the RFR, this method is more accurate than other methods.20 23 27 28 29 We used digital images of color two-dimensional Doppler for evaluating all measurements of CDVC diameter, whereas previously performed jet planimetry studies have analyzed analog video-taped images.

EROA Calculated by Using the CDVC As an Index of AR Severity
The clinical hemodynamic assessment of valvular regurgitation has been largely limited to semiquantitative grading of invasive or noninvasive parameters that have shown correlation with the regurgitant volume.4 6 17 30 31 32 33 The assessment of EROA has been shown to be useful for the evaluation of AR severity, since changes in EROAs may reflect true changes in regurgitant volumes, especially for the mitral valve.9 10 11 12 13 14 34 Determining the EROA also has theoretical advantages. In vitro and in vivo studies indicate that the severity of regurgitation varies with hemodynamic status but that the EROA is not affected by heart rate35 or driving pressure.11 34 36 Our study shows that there are significant correlations between the EROAs calculated by using the CDVC and hemodynamic assessments of the severity of AR (peak and mean RFRs, RF, and RV/beat; see TableUp). Previously, the EROA has been calculated by using the continuity equation and quantitative Doppler methods for AR9 12 as well as by the proximal flow–convergence method for mitral and tricuspid regurgitation.11 13 14 27 Although quantitative Doppler and flow-convergence methods are capable of quantifying regurgitant flow volume, these techniques, because of their geometric assumptions and the need for a priori knowledge of a suitable aliasing velocity range, may be problematic to apply in clinical settings.11 12 13 14 37 Some of the animals in the present study had other steady-state data points that were included in another study in which we evaluated the severity of AR by using flow-convergence axial centerline velocity/distance profiles.38 However, the centerline technique required complicated computer analysis algorithms that may not be practical for use in clinical settings. In contrast, the CDVC method that we propose is simple and less technically demanding than these other methods and may be more independent of loading conditions.32 The centerline, the flow-convergence geometric, and vena contracta methods provide alternative and/or complementary information regarding the severity of AR.

Limitations
We used epicardial echocardiography to select the best position for the transducer in this animal study to obtain good alignment for color and CW Doppler interrogation of the vena contracta and aortic regurgitant jet. In clinical situations, lower frequencies for imaging and Doppler, such as 2.5 MHz, might be necessary if apical views were used to image the vena contracta at depths of {approx}10 cm. Under such conditions, precise imaging of the vena contracta may be difficult. However, we have found clinically that satisfactory imaging of the vena contracta and flow convergence of AR in most patients can be obtained by using a right parasternal view at higher frequencies and at shorter distances. Defocusing of the ultrasound beam or reverberation induced by the chest wall and poor lateral resolution might lead to artifactual widening of the flow signal and, thus, yield erroneous overestimation of the EROAs and regurgitant volumes.36 To mitigate these problems, we used near-field imaging (5.5±0.85 cm) with high-frequency, dynamically focused annular array transducer imaging that focused all places symmetrically. In clinical settings, precise alignment and optimal imaging may not always be possible, especially when using conventional transthoracic echo windows.39 However, high-frequency imaging and/or atypical windows such as the transthoracic high right parasternal view imaging aortic regurgitant flows in the near field going away from the transducer or transesophageal subgastric views obtained with high-frequency devices should be capable of producing satisfactory images in many patients. Planimetry of the cross-sectional area of the CDVC in a short-axis view, if identified precisely and without distortion as the smallest laminar flow area just distal to the valve orifice, would provide direct determination of the vena contracta area and account for situations in which the orifice is not axis symmetric.

We studied a relatively small number of the animals and only one type of AR, which had been caused by incised, retracted aortic valve leaflets; however, this etiology of AR is clinically relevant, since one frequently encounters patients with similar anatomic pathology of the aortic valve. Additionally, regurgitant jets were directed from the central leaflet coaptation toward the anterior mitral leaflet or the interventricular septum, similar to findings in many patients. Thus, the CDVC method does appear to be applicable even for this geometrically complex regurgitant orifice. Additionally, upon examination all the orifices in our study were nearly symmetric. Asymmetric orifices, such as the slit-shaped ones that sometimes occur with bicuspid aortic valves, may require biplanar measurements to obtain the appropriate vena contracta dimensions.36 40 These potential problems can be obviated by three-dimensional reconstruction of the CDVC.41 In in vitro studies, we41 ) and others42 have demonstrated that three-dimensional reconstruction of vena contracta flow images for differently shaped orifices is possible and helpful. This technique would make vena contracta area determinations more objective and less susceptible to problems due to assumptions about geometry.

Conclusions
Our study using quantified aortic RFRs indicates that the CDVC of AR combined with CW Doppler-determined jet velocities can be used to estimate the EROA and to quantify the regurgitant flow volume and flow rate. We suggest that studies of the clinical efficacy of this method be undertaken.


*    Selected Abbreviations and Acronyms
 
AR = aortic regurgitation
CDVC = color Doppler–imaged vena contracta
CW = continuous wave
EFM = electromagnetic flowmeter
EROA = effective regurgitant orifice area
RF = regurgitant fraction
RFR = regurgitant flow rate
RSV = regurgitant stroke volume
RV/beat = regurgitant volumes per beat
VTI = velocity-time integral


*    Acknowledgments
 
This study was supported in part by a grant (HL-43287) from the National Heart, Lung, and Blood Institute. We acknowledge the assistance of the veterinary professional and technical staff of the Laboratory of Animal Medicine and Surgery, National Heart, Lung, and Blood Institute, and the dedication of Michelle Ann Cheney for help with editing and preparing the manuscript.

Received April 9, 1996; revision received December 11, 1996; accepted December 16, 1996.


*    References
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
*References
 

  1. Bonow RO, Rosing DR, Kent KM, Epstein SE. Timing of operation for chronic aortic regurgitation. Am J Cardiol. 1982;50:325-336.[Medline] [Order article via Infotrieve]
  2. Levine HJ, Gaasch WH. Ratio of regurgitant volume to end-diastolic volume: a major determinant of ventricular response to surgical correction of chronic volume overload. Am J Cardiol. 1983;52:406-410.[Medline] [Order article via Infotrieve]
  3. Bonow RO, Rosing DR, Maron BJ, McIntosh CL, Jones M, Bacharach SL, Green MV, Clark RE, Epstein SE. Reversal of left ventricular dysfunction after aortic valve replacement for chronic aortic regurgitation: influence of duration of preoperative left ventricular dysfunction. Circulation. 1984;70:570-579.[Abstract/Free Full Text]
  4. Omoto R, Yokote Y, Takamoto S, Kyo S, Ueda K, Asano H, Namekawa K, Kasai C, Kondo Y, Koyano A. The development of real-time two-dimensional Doppler echocardiography and its clinical significance in acquired valvular disease: with special reference to the evaluation of valvular regurgitation. Jpn Heart J. 1984;25:325-340.[Medline] [Order article via Infotrieve]
  5. Miyatake K, Okamoto M, Kinoshita N, Izumi S, Owa M, Takao S, Sakakibara H, Nimura Y. Clinical applications of a new type of real-time two-dimensional Doppler flow imaging system. Am J Cardiol. 1984;54:857-867.[Medline] [Order article via Infotrieve]
  6. Perry CJ, Helmcke F, Nanda NC, Byard C, Soto B. Evaluation of aortic insufficiency by Doppler color flow mapping. J Am Coll Cardiol. 1987;9:952-959.[Abstract]
  7. Bouchard A, Yock P, Schiller NB, Blumlein S, Botvinick EH, Greenberg B, Cheitlin M, Massie BM. Value of color Doppler estimation of regurgitant volume in patients with chronic aortic insufficiency. Am Heart J. 1989;117:1099-1105.[Medline] [Order article via Infotrieve]
  8. Spain MG, Smith MD, Kwan OL, DeMaria AN. Effect of isometric exercise on mitral and aortic regurgitation as assessed by color Doppler flow imaging. Am J Cardiol. 1990;65:78-83.[Medline] [Order article via Infotrieve]
  9. Reimold SC, Ganz P, Bittl JA, Thomas JD, Thoreau D, Plappert TJ, Lee RT. Effective aortic regurgitant orifice area: description of a method based on the conservation mass. J Am Coll Cardiol. 1991;18:761-768.[Abstract]
  10. Reimold SC, Byrne JG, Caguioa ES, Lee CC, Laurence RG, Peigh PS, Cohn LH, Lee RT. Load dependence of the effective regurgitant orifice area in a sheep model of aortic regurgitation. J Am Coll Cardiol. 1991;18:1085-1090.[Abstract]
  11. Vandervoot PM, Rivera JM, Mele D, Palacios IF, Dinsmore RE, Weyman AE, Levine RA, Thomas JD. Application of color Doppler flow mapping to calculate effective regurgitant orifice area: an in vitro study and initial clinical observations. Circulation. 1993;88:1150-1156.[Abstract/Free Full Text]
  12. Enriquez-Sarano M, Seward JB, Bailey KR, Tajik AJ. Effective regurgitant orifice area: a noninvasive Doppler development of an old hemodynamic concept. J Am Coll Cardiol. 1994;23:443-451.[Abstract]
  13. Rivera JM, Mele D, Vandervoort PM, Morris E, Weyman AE, Thomas JD. Effective regurgitant orifice area in tricuspid regurgitation: clinical implementation and follow-up study. Am Heart J. 1994;128:927-933.[Medline] [Order article via Infotrieve]
  14. Enriquez-Sarano M, Miller FA, Hayes SN, Bailey KR, Tajik AJ, Seward JB. Effective mitral regurgitant orifice area: clinical use and pitfalls of the proximal isovelocity area method. J Am Coll Cardiol. 1995;25:703-709.[Abstract]
  15. Yoganathan AP, Cape EC, Sung HW, Williams FP, Jimoh A. Review of hydrodynamic principles for the cardiologist: applications to the study of blood flow and jets by imaging techniques. J Am Coll Cardiol. 1988;12:1344-1353.[Abstract]
  16. Tamura K, Jones M, Yamada I, Ferrans VJ. A comparison of failure modes of glutaraldehyde-treated versus antibiotic-preserved mitral valve allografts implanted in sheep. J Thorac Cardiovasc Surg. 1995;110:224-238.[Abstract/Free Full Text]
  17. Holm S, Eriksson P, Karp K, Osterman G, Teien D. Quantitative assessment of aortic regurgitation by combined two-dimensional, continuous wave and colour flow Doppler measurement. J Int Med. 1992;231:115-121.[Medline] [Order article via Infotrieve]
  18. Wang SS, Rubenstein JJ, Goldman M, Sidd JJ. A new Doppler-echo method to quantify regurgitant volume. J Am Soc Echocardiogr. 1992;5:107-114.[Medline] [Order article via Infotrieve]
  19. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet. 1986;1:307-310.[Medline] [Order article via Infotrieve]
  20. Mennel RG, Joyner CR, Thompson PD, Pyle RR, Macvaugh H. The preoperative and operative assessment of aortic regurgitation: cineaortography vs. electromagnetic flowmeter. Am J Cardiol. 1972;29:360-366.[Medline] [Order article via Infotrieve]
  21. Bough EW, Gandsman EJ, North DL, Shulman RS. Gated radionuclide angiographic evaluation of valve regurgitation. Am J Cardiol. 1980;46:423-428.[Medline] [Order article via Infotrieve]
  22. Lam W, Pavel O, Sheikh E, Best D, Rosen K. Radionuclide regurgitant index: value and limitation. Am J Cardiol. 1981;47:292-298.[Medline] [Order article via Infotrieve]
  23. Croft CH, Lipscomb K, Mathis K, Firth BG, Nicod P, Tilton G, Winniford MD, Hillis LD. Limitations of qualitative angiographic grading in aortic or mitral regurgitation. Am J Cardiol. 1984;53:1593-1598.[Medline] [Order article via Infotrieve]
  24. Bolger AF, Eigler NL, Maurer G. Quantifying valvular regurgitation: limitations and inherent assumptions of Doppler technique. Circulation. 1988;78:1316-1318.[Free Full Text]
  25. Spain MG, Smith MD, Grayburn PA, Harlamert EA, Demaria AN, O'Brien M, Kwan OL. Quantitative assessment of mitral regurgitation by Doppler color flow imaging: angiographic and hemodynamic correlations. J Am Coll Cardiol. 1989;13:585-590.[Abstract]
  26. Rokey R, Sterling LL, Zoghbi WA, Sartori MP, Limacher MC, Kuo LC, Quinones MA. Determination of regurgitant fraction in isolated mitral or aortic regurgitation by pulsed Doppler two-dimensional echocardiography. J Am Coll Cardiol. 1986;7:1273-1278.[Abstract]
  27. Shiota T, Jones M, Teien DE, Yamada I, Passafini A, Ge S, Shandas R, Valdes-Cruz LM, Sahn DJ. Evaluation of mitral regurgitation using a digitally determined color Doppler flow convergence `centerline' acceleration method: studies in an animal model with quantified mitral regurgitation. Circulation. 1994;89:2879-2887.[Abstract/Free Full Text]
  28. Shiota T, Jones M, Teien D, Yamada I, Passafini A, Knudson O, Sahn DJ. Color Doppler regurgitant jet area for evaluating eccentric mitral regurgitation: an animal study with quantified mitral regurgitation. J Am Coll Cardiol. 1994;24:813-819.[Abstract]
  29. Shiota T, Jones M, Valdes-Cruz LM, Shandas R, Yamada I, Sahn DJ. Color flow Doppler determination of transmitral flow and orifice area in mitral stenosis: experimental evaluation of the proximal flow-convergence method. Am Heart J. 1995;129:114-123.[Medline] [Order article via Infotrieve]
  30. Tribouilloy C, Shen WF, Quere JP, Rey JL, Choquet D, Dufosse H, Lesbre JP. Assessment of severity of mitral regurgitation by measuring regurgitant jet width at its origin with transesophageal Doppler color flow imaging. Circulation. 1992;85:1248-1253.[Abstract/Free Full Text]
  31. Grayburn PA, Fehske W, Omran H, Brickner ME, Luderitz B. Multiplane transesophageal echocardiographic assessment of mitral regurgitation by Doppler color flow mapping of the vena contracta. Am J Cardiol. 1994;74:912-917.[Medline] [Order article via Infotrieve]
  32. Mele D, Vandervoort P, Palacios I, Rivera JM, Dinsmore RE, Schwammenthal E, Marshall JE, Weyman AE, Levine RA. Proximal jet size by Doppler color flow mapping predicts severity of mitral regurgitation: clinical studies. Circulation. 1995;91:746-754.[Abstract/Free Full Text]
  33. Dolan MS, Castello R, Vrain JAS, Aguirre F, Labovitz AJ. Quantitation of aortic regurgitation by Doppler echocardiography: a practical approach. Am Heart J. 1995;129:1014-1020.[Medline] [Order article via Infotrieve]
  34. Switzer DF, Yoganathan AP, Nanda NC, Woo YR, Ridgway AJ. Calibration of color Doppler flow mapping during extreme hemodynamic conditions in vitro: a foundation for a reliable quantitative grading system for aortic incompetence. Circulation. 1987;75:837-846.[Abstract/Free Full Text]
  35. Yoran C, Yellin E, Hori M. Effects of heart rate on experimentally produced mitral regurgitation in dogs. Am J Cardiol. 1983;52:1345-1349.[Medline] [Order article via Infotrieve]
  36. Baumgartner H, Schima H, Kuhn P. Value and limitations of proximal jet dimensions for the quantitation of valvular regurgitation: an in vitro study using Doppler flow imaging. J Am Soc Echocardiogr. 1991;4:57-66.[Medline] [Order article via Infotrieve]
  37. Shiota T, Jones M, Yamada I, Heinrich RS, Ishii M, Sinclair B, Holcomb SR, Yoganathan AP, Sahn DJ. Effective regurgitant orifice area by the color Doppler flow convergence method for evaluating the severity of chronic aortic regurgitation: an animal study. Circulation. 1996;93:594-602.[Abstract/Free Full Text]
  38. Shiota T, Jones M, Yamada I, Heinrich RS, Ishii M, Sinclair B, Yoganathan AP, Sahn DJ. Evaluation of aortic regurgitation using digitally determined color Doppler-imaged flow convergence acceleration: a quantitative study in animals. J Am Coll Cardiol. 1996;27:203-210.[Abstract]
  39. Reynolds T, Abate J, Tenney A, Warner MG. The JH/LVOH method in the quantification of aortic regurgitation: how the cardiac sonographer may avoid an important potential pitfall. J Am Soc Echocardiogr. 1991;4:104-108.
  40. Taylor AL, Eichhorn EJ, Brickner ME, Eberhart RC, Grayburn PA. Aortic valve morphology: an important in vitro determinant of proximal regurgitant jet width by Doppler color flow mapping. J Am Coll Cardiol. 1990;16:405-412.[Abstract]
  41. Shiota T, Sinclair B, Ishii M, Zhou X, Ge S, Teien DE, Gharib M, Sahn DJ. Three-dimensional reconstruction of color Doppler flow convergence regions and regurgitant jets: an in vitro quantitative study. J Am Coll Cardiol. 1996;27:1511-1518.[Abstract]
  42. Shandas R, Kwon J, Knudson O, Valdes-Cruz L. Utility of three-dimensional ultrasound Doppler flow reconstruction of the proximal jet to quantify regurgitant orifice area: an in vitro pulsatile flow study. Circulation. 1995;92(suppl I):I-797. Abstract.



This article has been cited by other articles:


Home page
HeartHome page
K Debl, B Djavidani, S Buchner, N Heinicke, S Fredersdorf, J Haimerl, F Poschenrieder, S Feuerbach, G A J Riegger, and A Luchner
Assessment of the anatomic regurgitant orifice in aortic regurgitation: a clinical magnetic resonance imaging study
Heart, March 1, 2008; 94(3): e8 - e8.
[Abstract] [Full Text] [PDF]


Home page
CirculationHome page
R. Bekeredjian and P. A. Grayburn
Valvular Heart Disease: Aortic Regurgitation
Circulation, July 5, 2005; 112(1): 125 - 134.
[Abstract] [Full Text] [PDF]


Home page
J Am Coll CardiolHome page
Y. Mori, R. A. Rusk, M. Jones, X.-N. Li, T. Irvine, A. D. Zetts, and D. J. Sahn
A new dynamic three-dimensional digital color doppler method for quantification of pulmonary regurgitation: validation study in an animal model
J. Am. Coll. Cardiol., September 18, 2002; 40(6): 1179 - 1185.
[Abstract] [Full Text] [PDF]


Home page
J Am Coll CardiolHome page
D. L. Willett, S. A. Hall, M. E. Jessen, M. A. Wait, and P. A. Grayburn
Assessment of aortic regurgitation by transesophageal color Doppler imaging of the vena contracta: validation against an intraoperative aortic flow probe
J. Am. Coll. Cardiol., April 1, 2001; 37(5): 1450 - 1455.
[Abstract] [Full Text] [PDF]


Home page
CirculationHome page
M. Ishii, K. Hashino, G. Eto, T. Tsutsumi, W. Himeno, Y. Sugahara, H. Muta, J. Furui, T. Akagi, Y. Ito, et al.
Quantitative Assessment of Severity of Ventricular Septal Defect by Three-Dimensional Reconstruction of Color Doppler-Imaged Vena Contracta and Flow Convergence Region
Circulation, February 6, 2001; 103(5): 664 - 669.
[Abstract] [Full Text] [PDF]


Home page
HeartHome page
T Irvine, X N Li, R Rusk, D Lennon, D J Sahn, and A Kenny
Three dimensional colour Doppler echocardiography for the characterisation and quantification of cardiac flow events
Heart, November 1, 2000; 84(90002): 2i - 6.
[Full Text]


Home page
J Am Coll CardiolHome page
C. M. Tribouilloy, M. Enriquez-Sarano, K. R. Bailey, A. J. Tajik, and J. B. Seward
Quantification of tricuspid regurgitation by measuring the width of the vena contracta with Doppler color flow imaging: a clinical study
J. Am. Coll. Cardiol., August 1, 2000; 36(2): 472 - 478.
[Abstract] [Full Text] [PDF]


Home page
CirculationHome page
C. M. Tribouilloy, M. Enriquez-Sarano, K. R. Bailey, J. B. Seward, and A. J. Tajik
Assessment of Severity of Aortic Regurgitation Using the Width of the Vena Contracta : A Clinical Color Doppler Imaging Study
Circulation, August 1, 2000; 102(5): 558 - 564.
[Abstract] [Full Text] [PDF]


Home page
CirculationHome page
R. Shandas, J. Kwon, and L. Valdes-Cruz
A Method for Determining the Reference Effective Flow Areas for Mechanical Heart Valve Prostheses : In Vitro Validation Studies
Circulation, April 25, 2000; 101(16): 1953 - 1959.
[Abstract] [Full Text] [PDF]


Home page
CirculationHome page
Y. Mori, T. Shiota, M. Jones, S. Wanitkun, T. Irvine, X. Li, A. Delabays, N. G. Pandian, and D. J. Sahn
Three-Dimensional Reconstruction of the Color Doppler–Imaged Vena Contracta for Quantifying Aortic Regurgitation : Studies in a Chronic Animal Model
Circulation, March 30, 1999; 99(12): 1611 - 1617.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Ishii, M.
Right arrow Articles by Sahn, D. J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Ishii, M.
Right arrow Articles by Sahn, D. J.