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DOI:10.2214/AJR.05.0639
AJR 2006; 186:S366-S370
© American Roentgen Ray Society


Clinical Observations

MDCT Assessment of Right Ventricular Systolic Function

Halil Dogan1, Lucia J. M. Kroft1, Jeroen J. Bax2, Joanne D. Schuijf2, Rob J. van der Geest1, Joost Doornbos1 and Albert de Roos1

1 Department of Radiology, Leiden University Medical Center, C2-S, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
2 Department of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.

Received April 13, 2005; accepted after revision July 10, 2005.

 
Address correspondence to A. de Roos.


Abstract
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Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
OBJECTIVE. The objective of our study was to validate using MDCT for the assessment of right ventricular (RV) function. MDCT with retrospective ECG gating was performed in 15 patients being evaluated for suspected cardiovascular disease. Echocardiography was performed for comparison. The MDCT images were reconstructed at 20 phase points over the cardiac cycle. The end-diastolic and end-systolic volumes of both ventricles were measured. Stroke volumes and ejection fractions were calculated from these data.

CONCLUSION. RV volumes can be accurately assessed using MDCT.

Keywords: cardiac imaging • CT • ECG gating • heart • MDCT • right ventricular function


Introduction
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Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Cardiac MDCT is now widely used for imaging the coronary arteries [1]. Recent studies have indicated that left ventricular (LV) function can be accurately assessed using the same raw data set as that used for MDCT coronary angiography [2]. ECG gating allows extraction of data from multiple time points over the cardiac cycle to isolate the end-diastolic and end-systolic phases. However, little information is available about the assessment of right ventricular (RV) function using MDCT.

In recent years, the critical role of RV function in determining the clinical outcome of patients with acute pulmonary embolism [3, 4] and of those with chronic heart failure has been recognized [5]. In particular, the widespread use of MDCT in patients with suspected pulmonary embolism has raised interest in assessing RV function in this patient category. Interestingly, simple measurements of RV dimensions using non-ECG-gated MDCT images of the heart have shown to be of prognostic significance in patients with acute pulmonary embolism [3, 4]. It is conceivable that more accurate dynamic information could enhance the value of MDCT for the evaluation of RV function.

Currently, 2D echocardiography is the technique of choice for routine clinical evaluation of LV and RV function. Echocardiography estimates LV function using geometric assumptions. The RV has a more complex shape; therefore, it is difficult to accurately assess the volumetrics of the RV when using non-3D methods, such as 2D echocardiography.

MDCT, similar to MRI, is an inherently 3D technique that allows full coverage of the ventricular volumes without the use of geometric assumptions.

Accordingly, the objective of our study was to validate the assessment of RV function using MDCT. For internal validation, the volumetrics of both ventricles were compared. Furthermore, echocardiography was used as an external reference for validating the measurements of LV function using MDCT and thereby also for indirectly validating the measurements of RV function.


Materials and Methods
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Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Patients
Data from 15 patients (13 men, two women; mean age ± SD, 61 ± 11 years) who took part in a study in which the coronary arteries were evaluated were used for this study. Two patients had no coronary artery disease; two patients, single-vessel coronary artery disease; five patients, two-vessel coronary artery disease; and six patients, three-vessel coronary artery disease. All patients were well compensated during the study. Five patients had an LV ejection fraction (LVEF) below 50%. No cardiac arrhythmias were present during image acquisition; patients' heart rates ranged from 55 to 81 beats per minute (bpm). All patients gave written informed consent, and the institutional ethics committee approved the study. These patients had no signs of valvular disease or intracardiac shunting on 2D or color Doppler echocardiography.

Validation Techniques
Agreement for stroke volume (SV) between the LV and RV obtained from MDCT data was used for internal validation. The RVSV and LVSV should be identical because there were no signs of valvular disease or intracardiac shunting on 2D or color Doppler echocardiography. As external validation, MDCT-derived systolic LV function was compared with systolic LV function as assessed by 2D echocardiography using the biplane Simpson's technique as previously shown [1].

Imaging Protocols
MDCT data acquisition and reconstructions—Contrast-enhanced ECG-gated cardiac MDCT was performed using a 16-MDCT scanner (Aquilion 16CFX, Toshiba Medical Systems). Contrast agent (120-140 mL iobitridol [Xenetix 300, Guerbet]) was administered in an antecubital vein with a flow rate of 4 mL/sec to ensure enhancement in the ascending aorta while contrast enhancement in the RV was still present. No ß-blocker preparation was used. To trigger the start of the acquisition, we used automated threshold enhancement detection in the aortic root. The rotation time was 0.4 or 0.5 sec, and the pitch factor varied between 0.20 and 0.30. The optimal combination of rotation time and pitch factor was chosen automatically by Sure Cardio software (Toshiba Medical Systems) to provide the best temporal resolution for a given heart rate. Temporal resolution varied between 50 and 250 msec depending on the heart rate. Collimation for raw data acquisition was 16 x 0.5 mm; the tube current was 250 mA and the tube voltage, 120 kV.

Two-millimeter-thick contiguous slices were retrospectively reconstructed in a 512 x 512 matrix using a 240-mm field of view; data for 20 cardiac phases in steps of 5% of the R-R interval (ranging from 0% to 95% for each investigation) were obtained using a segmental reconstruction algorithm. The whole heart from the aortic root to the diaphragm was covered within the reconstructed 60-80 slices per cardiac phase point. The data were stored in DICOM format and transferred to a PC workstation (Dell) running on Linux software (Suse Linux GmbH).

Echocardiographic image acquisition—Patients were imaged in the left lateral decubitus position using a commercially available system (Vingmed System FiVe, GE Healthcare). Images were obtained using a 3.5-MHz transducer at a depth of 16 cm in the parasternal and apical views (standard parasternal long- and sort-axis views and apical two- and four-chamber images). The images were triggered to the QRS complex and saved in cine loop format.

Data Analysis
The MDCT images were analyzed with dedicated cardiac function analysis software (CT-MASS, Medical Imaging Systems). By inspection of smooth running cine movies, images in which the LV volumes were the largest and the smallest were selected as the end-diastolic and end-systolic phases in the cardiac cycle, respectively. On every other axial slice, the end-diastolic and end-systolic RV and LV endocardial border contours were drawn in consensus by two researchers; the trabeculae and papillary muscles were included in the ventricular cavity. The entire ventricles were covered including the outflow tract (Figs. 1A, 1B, 1C, and 1D). End-diastolic and end-systolic volumes, SVs, and EFs were calculated. Images were reanalyzed to assess interobserver agreement using a paired Student's t test.


Figure 1
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Fig. 1A —Example of cardiac function analysis in 63-year-old woman. MDCT axial reconstructed 2-mm slices at end-diastolic (A) and end-systolic (B) phases with border contours drawn in contrast-enhanced right ventricle and left ventricle.

 

Figure 2
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Fig. 1B —Example of cardiac function analysis in 63-year-old woman. MDCT axial reconstructed 2-mm slices at end-diastolic (A) and end-systolic (B) phases with border contours drawn in contrast-enhanced right ventricle and left ventricle.

 

Figure 3
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Fig. 1C —Example of cardiac function analysis in 63-year-old woman. Three-dimensional representations of end-diastolic volumes (C) and end-systolic volumes (D). Ant = anterior, Post = posterior.

 

Figure 4
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Fig. 1D —Example of cardiac function analysis in 63-year-old woman. Three-dimensional representations of end-diastolic volumes (C) and end-systolic volumes (D). Ant = anterior, Post = posterior.

 
The LVEF as assessed by 2D echocardiography was calculated from the conventional apical two- and four-chamber images using the biplane Simpson's rule and commercially available software (Echopac 6.1, GE Healthcare).

Statistical Analyses
The data were analyzed with SPSS software (version 11.5, Statistical Package for the Social Sciences) for Windows (Microsoft) and Excel 2000 (Microsoft). Continuous data were expressed as means ± SD.

Linear regression analysis was performed to estimate the coefficients of the linear equation and interdependence between the RVSV and LVSV, as determined by MDCT, and between the LVEF determined by MDCT and that determined by echocardiography.

Paired Student's t tests were performed to determine concordance between SVs and EFs. Bland-Altman plots were reconstructed to determine the limits of agreement between SVs and between EFs.

For all statistical testing, a p value of less than 0.05 was considered statistically significant.


Results
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Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Linear regression showed a good relation between the RVSV and LVSV as determined by MDCT (Fig. 2A): y = 1.0x - 3.7 and r = 0.97 (p < 0.0001). A small but statistically significant difference was found between the RVSV and LVSV (paired Student's t test, p = 0.003). Interobserver analysis showed good agreement for LVEF and RVEF measurements (paired Student's t test, p > 0.005). The RVSV was on average 3.6 mL smaller than the LVSV (range, 57-114 mL; SD, 4.0 mL). The Bland-Altman plot showed good agreement between the RVSV and the LVSV measurements without significant systematic errors (Fig. 3A). The linear regression plot of the LVEFs derived from MDCT data and those derived from 2D echocardiography data also showed a close relation (Fig. 2B): y = 0.92x + 6.9 and r = 0.89 (p < 0.0001). No statistically significant difference was found in the LVEF determined from MDCT data and that determined from echocardiography data (paired Student's t test, p = 0.052). The Bland-Altman plot did not show systematic differences over the range of measurements (Fig. 3B).


Figure 5
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Fig. 2A —Graphs of data. Graph shows relationship of stroke volumes between both ventricles as determined by MDCT: excellent slope of trend line (1.00) and excellent correlation (r = 0.97) (p < 0.0001). RVSV = right ventricular stroke volume, LVSV = left ventricular stroke volume.

 

Figure 7
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Fig. 3A —Bland-Altman plots. Difference ({Delta}) in stroke volumes (SVs) between left ventricle (LV) and right ventricle (RV) is plotted against average value of SVs of both ventricles (solid line = mean value of differences, dotted lines = mean value of differences ± 2 SD). Difference in SVs does not vary in any systematic way over range of measurements. Mean difference to prejudice RVSV is 3.6 ± 4.0 mL (range, -4.4 to 11.6 mL) as compared with LVSV.

 

Figure 6
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Fig. 2B —Graphs of data. Graph shows relationship of MDCT and echocardiography assessments of left ventricular ejection fraction (LVEF): slope of 0.92 and correlation coefficient (r) of 0.89 (p < 0.0001).

 

Figure 8
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Fig. 3B —Bland-Altman plots. Difference ({Delta}) in LV ejection fraction (LVEF) between each pair—MDCT-derived LVEF and echocardiographically derived LVEF—is plotted against average value of sample pair (solid line = mean value of differences, dotted lines = mean value of differences ± 2 SD). Difference in LVEF does not vary in any systematic way over range of measurements. Mean difference is 3.3% ± 5.8% (range, -8.2% to 14.8%) to prejudice of average LVEF of echocardiography.

 

Discussion
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
The main finding of the current study is that RV systolic function can accurately be assessed using ECG-gated MDCT data. The internal validation showed a good relation between RVSV and LVSV. Also, external validation showed a close relation between MDCT-derived and echocardiographically derived LVEFs, in accordance with previous studies [2].

We found a small but systematic difference between the SVs of both ventricles with mild underestimation of the RVSV as compared with the LVSV when measured from MDCT data. A possible explanation for this difference is the slight electrophysiologic asynchronicity of ventricular contractions [6] in combination with the suboptimal temporal resolution. In the present study, the LV was systematically chosen to isolate end-systolic time points. The left part of the interventricular septum is the first part of the ventricle to become depolarized, resulting in a physiologic asynchronicity of LV and RV contractions [6].

MRI is widely accepted as a gold standard for measurements of systolic LV function [7] and RV function [8]. A mean difference in SVs of up to 5.8 ± 12.9 mL between the LV and RV has been found when using MRI for internal validation [8]. The mean differences in SVs and the SDs observed in the present MDCT study were even smaller, indicating the reliability of MDCT measurements. The smaller variance in MDCT volumetric measurements may also be a consequence of the single breath-hold approach for MDCT as opposed to the multiple breath-hold MRI technique. With the single breath-hold technique, all consecutive slices originate from a single 3D volume.

However, the temporal resolution of current MDCT technology is still limited. Echocardiography and MRI allow image acquisition at a high frame rate, thereby allowing accurate isolation of end-diastolic and end-systolic time points.

It has been reported that a temporal resolution of less than 100 msec is needed for obtaining accurate cardiac volumetrics [9, 10]. The current MDCT technology allows a reconstruction of any phase point over the cardiac cycle, although the actual temporal resolution in cardiac MDCT is not defined by the selected number of phase points, but by the amount of view sharing within images representing consecutive phases. The amount of view sharing depends on the pitch factor and the heart rate.

The difference in the mean LVEF measured with MDCT and that measured with echocardiography was only 3.3% in the present study, as compared with the 8.5% difference between MRI and echocardiography [11]. The reproducibility of LVEF measurements is therefore similar between MDCT and MRI.

ECG-gated MDCT allows assessment of cardiac function in a reliable manner. New indications for MDCT could include cardiac function assessment in patients with contraindications for MRI (e.g., pacemakers and other metallic implants) and RV function assessment in patients with pulmonary embolism and those with pulmonary hypertension. Additional clinical studies are needed to show the clinical impact of RV function assessment using MDCT.


Acknowledgments
 
We thank Berend C. Stoel, Annette van den Berg-Huysmans, Koos Geleijns, and Joost J. H. Roelofs for technical assistance and Bart Mertens (Department of Medical Statistics) for statistical support.


References
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 

  1. Schuijf JD, Bax JJ, Jukema JW, et al. Noninvasive evaluation of the coronary arteries with multislice computed tomography in hypertensive patients. Hypertension 2005;45 : 227-232[Abstract/Free Full Text]
  2. Dirksen MS, Bax JJ, de Roos A, et al. Usefulness of dynamic multislice computed tomography of left ventricular function in unstable angina pectoris and comparison with echocardiography. Am J Cardiol 2002; 90:1157 -1160[CrossRef][Medline]
  3. Grifoni S, Olivotto I, Cecchini P, et al. Short-term clinical outcome of patients with acute pulmonary embolism, normal blood pressure, and echocardiographic right ventricular dysfunction. Circulation 2000;101 : 2817-2822[Abstract/Free Full Text]
  4. Quiroz R, Kucher N, Schoepf UJ, et al. Right ventricular enlargement on chest computed tomography: prognostic role in acute pulmonary embolism. Circulation 2004;109 : 2401-2404[Abstract/Free Full Text]
  5. Sun JP, James KB, Yang XS, et al. Comparison of mortality rates and progression of left ventricular dysfunction in patients with idiopathic dilated cardiomyopathy and dilated versus nondilated right ventricular cavities. Am J Cardiol 1997;80 : 1583-1587[CrossRef][Medline]
  6. Durrer D, van Dam RT, Freud GE, Janse MJ, Meijler FL, Arzbaecher RC. Total excitation of the isolated human heart. Circulation 1970;41 : 899-912[Abstract/Free Full Text]
  7. Longmore DB, Klipstein RH, Underwood SR, et al. Dimensional accuracy of magnetic resonance in studies of the heart. Lancet 1985; 1:1360 -1362[Medline]
  8. Alfakih K, Thiele H, Plein S, Bainbridge GJ, Ridgway JP, Sivananthan MU. Comparison of right ventricular volume measurement between segmented k-space gradient-echo and steady-state free precession. Magn Reson Imaging 2002;16 : 253-258
  9. Alfidi RJ, MacIntyre WJ, Haaga JR. The effects of biological motion on CT resolution. AJR 1976;127 : 11-15[Abstract]
  10. Boese JM, Bahner ML, Albers J, van Kaick G. Optimizing temporal resolution in CT with retrospective ECG gating [in German]. Radiologe 2000;40 : 123-129[CrossRef][Medline]
  11. Altmann K, Shen Z, Boxt LM, et al. Comparison of three-dimensional echocardiographic assessment of volume, mass, and function in children with functionally single left ventricles with two-dimensional echocardiography and magnetic resonance imaging. Am J Cardiol1997; 80:1060 -1065[CrossRef][Medline]

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