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DOI:10.2214/AJR.07.2228
AJR 2007; 189:1064-1070
© American Roentgen Ray Society


Original Research

Dual-Source CT with Improved Temporal Resolution in Assessment of Left Ventricular Function: A Pilot Study

Harald Brodoefel1, Ulrich Kramer1, Anja Reimann1, Christof Burgstahler2, Stephen Schroeder2, Andreas Kopp1 and Martin Heuschmid1

1 Department of Diagnostic Radiology, Eberhard-Karls-University, Hoppe-Seyler-Str. 3, 72076 Tübingen, Germany.
2 Department of Cardiology, Eberhard-Karls-University, Tübingen, Germany.

Received March 11, 2007; accepted after revision June 5, 2007.

 
Address correspondence to H. Brodoefel (h.brodoefel{at}t-online.de).


Abstract
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
OBJECTIVE. Functional analysis using MDCT has been limited by insufficient temporal resolution. The aim of this study was to assess the performance of a dual-source CT system with improved temporal resolution in the determination of both volume- or time-dependent functional parameters and regional wall motion in comparison with cine MRI.

SUBJECTS AND METHODS. Twenty patients (15 of whom had previous myocardial infarction) were prospectively examined using dual-source CT. MRI was used as the standard of reference. Using the Simpson's method, ventricular volumes were determined for the whole of the cardiac cycle and results compared using Parson's correlation and Bland-Altman analysis. Regional wall motion was assessed on cine images and compared using weighted kappa statistics.

RESULTS. Dual-source CT revealed a strong correlation with cine MRI regarding the quantification of end-diastolic volume (r = 0.98), end-systolic volume (r = 0.99), stroke volume (r = 0.96), and ejection fraction (r = 0.95). Good correlation was obtained for peak ejection rate (r = 0.79) and peak filling rate (r = 0.84), whereas agreement proved only moderate for time-to-peak ejection rate (r = 0.68) or time-to-peak filling rate from end-systole (r = 0.64). The mean difference for ejection fraction was negligible (bias, 0.72%). Good agreement between both techniques was likewise found for regional wall motion ({kappa} = 0.88).

CONCLUSION. With the improvement of temporal resolution between 42 and 83 milliseconds, dual-source CT not only enables accurate assessment of global functional parameters, but it also allows for quantification of time-dependent variables and reliable evaluation of regional wall motion.

Keywords: dual-source CT • left ventricular function • MRI


Introduction
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
Accurate and reproducible determination of left ventricular (LV) myocardial function is essential to the diagnosis, therapy guidance, and follow-up of a majority of cardiac diseases including coronary artery disease (CAD) [1]. A variety of imaging techniques such as echocardiography, gated perfusion SPECT, cine ventriculography, and MRI are in use for the assessment of regional or global LV function [24]. Because of its unmatched temporal resolution and superior tissue contrast, cardiac MRI has been widely adopted as the standard of reference for functional analysis [4].

Because of the considerable radiation exposure, MDCT has seldom been used for the analysis of LV function. Nevertheless, in the past few years, technical progression from 4- to 64-MDCT systems has opened the field of noninvasive coronary angiography, leading to a widespread acceptance and use of MDCT as a noninvasive technique for cardiac imaging [5, 6]. Because information on any conceivable heart phase is always obtained as a by-product of coronary imaging and may easily be extracted from available data sets, the role of CT for functional analysis has ultimately grown.

In the past, a number of investigations have proven a close correlation between cine MRI and CT estimation of such global functional parameters as end-diastolic volume (EDV), end-systolic volume (ESV), stroke volume (SV), and ejection fraction (EF) [712]. However, due to a limited temporal resolution of previous MDCT generations, the method has proven unsatisfactory in the assessment of time-dependent parameters such as peak filling rate (PFR), peak ejection rate (PER), time to PER, and time from end-systole (ES) to PFR [13, 14]. For the same reasons, CT analysis of regional wall motion has previously been reported to be inadequate [10].

However, recently, a new CT system equipped with two tubes and corresponding detectors in a 90° geometry has been designed and provides a heart-rate-independent temporal resolution of 83 milliseconds. The latter may be further improved by using a multisegment reconstruction algorithm and thus be as low as 42 milliseconds [15]. The doubling of temporal resolution compared with the latest CT generations with 330 milliseconds gantry rotation time holds the promise of ultimately eliminating many of the limitations that have previously been faced in CT functional analysis.

Hence, the aim of our study was to assess the performance of increased temporal resolution in the determination of both volume- or time-dependent functional parameters and regional wall motion in comparison with cine MRI.


Subjects and Methods
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
In this prospective study, we investigated 20 consecutive patients (16 men, 4 women; mean age, 64 ± 9 years) referred to our department for noninvasive dual-source CT coronary angiography because of suspected progress of known CAD or patency of coronary bypass grafts. Fifteen patients had a history of previous myocardial infarction; one patient had a diagnosis of severe aortic insufficiency (grade 4). Exclusion criteria were arrhythmia, unstable angina, serum creatinine levels higher than 1.5 mg/dL, and previous allergic reactions to iodinated contrast agents. The local ethics committee approved the study protocol, and all patients gave informed consent. In all patients MRI was performed immediately before or after CT. Nine patients were on a daily oral ß-blocker medication, and additional ß-blockers were not administered in our study.

Dual-Source CT Scanning Protocol
All CT examinations were performed on a dual-source CT system (Somatom Definition, Siemens Medical Solutions). Scanning parameters were as follows: 120 kV, 550 mAs for each X-ray tube, 0.33-millisecond gantry rotation, 32 x 0.6 mm collimation with z-flying focal spot for each detector, and pitch of 0.20. A dual-segment reconstruction algorithm was applied to all data, regardless of patient heart rate. Temporal resolution was thereby varying as a function of the patient's heart rate between 83 and 42 milliseconds. Using dual-source CT in the dual-segment reconstruction mode, a mean resolution of 60 milliseconds can be established [15]. For dose reduction, the automatic tube current modulation device was used.

The scanning delay was determined using the test bolus technique with the region of interest placed in the ascending aorta. A test bolus of 20 mL of iomeprol (Imeron 400, Bracco) was followed by a 40-mL saline chaser bolus. For CT examination of the heart, 100 mL of contrast material was injected IV at 4–5 mL/s and followed by a 50-mL saline chaser bolus. Compared with routine noninvasive coronary angiography, the amount of contrast material was increased by 20 mL to ensure additional opacification of the right ventricle.

After the acquisition of the 3D data sets, about 20 series of axial images were reconstructed every 5% (0–95%) of the R-R interval with an effective slice thickness of 0.75 mm, a reconstruction increment of 0.4 mm, and a field of view of 180 x 170 mm (matrix, 512 x 512). For further analysis, 5-mm multiplanar reformations without an intersection gap were calculated along the short axis and in the two-, three-, and four-chamber orientation.

MRI
MRI was performed on a 1.5-T whole-body MR scanner (Magnetom Sonata, Siemens Medical Solutions) using a phased-array body coil. After obtaining localizing scout images, breath-hold true fast imaging with steady-state precession (FISP) cine sequences with retrospective ECG gating were acquired with TR/TE, 3.08/1.54; flip angle, 55°; matrix, 256 x 208; and pixel size, 1.35 x 1.35 mm. Neither generalized autocalibrating partially parallel acquisitions (GRAPPA) nor sensitivity encoding (SENSE) was used. About 20 phase-encoding steps were used per time frame, with a resulting temporal resolution of 30–50 milliseconds, depending on heart rate. Images with a section thickness of 5 mm and an intersection gap of 5 mm were obtained in standardized short-axis and two-, three-, or four-chamber orientation.

LV Function Analysis
LV function analysis was performed on an offline workstation (Leonardo, Siemens Medical Solutions) using commercially available software (Argus, Siemens Medical Solutions). CT and MR images were separately assessed by two experienced radiologists with 5 and 8 years of experience who were blinded to the results of the other imaging technique. Window settings were individually adapted by the readers using the half-contour principle [16].

Global LV function was assessed on short-axis images using the automated endocardial or epicardial contour detection function with subsequent visual control and manual correction. The most basal slice surrounded by at least 50% myocardium was defined as the LV base, whereas the first slice with a visible lumen during the entire cardiac cycle was chosen as the apex of the LV. The papillary muscles were included in the ventricular volume. End-diastole and end-systole were defined as maximal and minimal LV volume, and all functional parameters were calculated according to the modified Simpson's method [17].

Segmental wall motion analysis was performed according to a 17-segment model of the LV [18]. Regional wall motion was assessed from cine loops in the short axis and in the two-, three-, and four-axis orientation. Motion was visually evaluated on a per-segment basis and described as normal, hypokinetic, akinetic, or dyskinetic.

Intra- and Interobserver Variability of CT Measurements
For assessment of intraobserver variability, a second reading was performed on all CT data after a 4-month interlude. Interobserver variability was analyzed by comparing CT measurements of two separate investigators, each with 5 years of experience.

Statistical Analysis
All continuous variables are expressed as mean ± SD, and comparison between methods was performed using the Student's t test for paired observations. Bland-Altman analysis was used to display the systematic error and the limits of agreement between the two methods. The correlation between parameters was assessed by calculation of the Pearson's correlation coefficient. Results of regional wall motion assessment were displayed in a contingency table, and agreement between CT and MRI was analyzed by use of weighted kappa statistics. Inter- or intraobserver reliability was assessed by calculating two-way random or one-way random intraclass correlation coefficients (ICCs). For all statistical analysis, a p value of less than 0.05 was considered significant. All analysis was performed with SPSS, version 15, or GraphPad Prism, version 4.00.


Results
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
All examinations were performed without complications, and for all data sets both techniques allowed a clear delineation of endocardial or epicardial contours (Fig. 1A, 1B, 1C, 1D). Mean heart rates in CT and MRI were 63.0 ± 8.2 and 62.2 ± 8.9 beats per minute (bpm) and did not show a significant difference. Heart rates beyond 70 bpm were recorded for four patients in dual-source CT and for three in MRI.


Figure 1
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Fig. 1A 61-year-old man with known coronary artery disease. Left ventricular endocardial and epicardial contours drawn on reformatted short-axis views using dual-source CT (A and B, respectively) in comparison with cardiac MRI (C and D, respectively) show papillary muscles are included in ventricular volume. Because of use of tube current modulation, there is slight increase in image noise in systole; however, this does not affect differentiation of tissues.

 

Figure 2
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Fig. 1B 61-year-old man with known coronary artery disease. Left ventricular endocardial and epicardial contours drawn on reformatted short-axis views using dual-source CT (A and B, respectively) in comparison with cardiac MRI (C and D, respectively) show papillary muscles are included in ventricular volume. Because of use of tube current modulation, there is slight increase in image noise in systole; however, this does not affect differentiation of tissues.

 

Figure 3
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Fig. 1C 61-year-old man with known coronary artery disease. Left ventricular endocardial and epicardial contours drawn on reformatted short-axis views using dual-source CT (A and B, respectively) in comparison with cardiac MRI (C and D, respectively) show papillary muscles are included in ventricular volume. Because of use of tube current modulation, there is slight increase in image noise in systole; however, this does not affect differentiation of tissues.

 

Figure 4
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Fig. 1D 61-year-old man with known coronary artery disease. Left ventricular endocardial and epicardial contours drawn on reformatted short-axis views using dual-source CT (A and B, respectively) in comparison with cardiac MRI (C and D, respectively) show papillary muscles are included in ventricular volume. Because of use of tube current modulation, there is slight increase in image noise in systole; however, this does not affect differentiation of tissues.

 
Because of a large heterogeneity of disease, a broad range of values was found for volume- or time-dependent parameters, notably from 34.4% to 80.6% for EF and from 245.0 to 797.6 mL/s or from 223.7 to 1,056.0 mL/s for PER or PFR, respectively.

Results of volume and function measurements are summarized in Table 1. There was a high correlation of dual-source CT and MRI values for EDV, ESV, EF, and SV. Strong association was also obtained for such time-dependent variables as PER or PFR, whereas there was only moderate agreement for time to PER or time to PFR from ES. The agreement of time-dependent parameters is mirrored in the uniform pattern of time–volume curves obtained by both techniques (Fig. 2A, 2B).


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TABLE 1: Global and Time-Dependent Left Ventricular Functional Parameters Assessed by Dual-Source CT and MRI

 

Figure 5
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Fig. 2A Graphs show time–volume curves. Data are shown for all 20 patients; overall trend is followed by lowest curves. Time–volume curves obtained using dual-source CT (A) and MRI (B).

 

Figure 6
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Fig. 2B Graphs show time–volume curves. Data are shown for all 20 patients; overall trend is followed by lowest curves. Time–volume curves obtained using dual-source CT (A) and MRI (B).

 

Comparing dual-source CT with MRI, Bland-Altman analysis revealed a mean bias for EDV of –2.2 mL, for ESV of –1.4 mL, for EF of 0.7%, for SV of –2.5 mL, for PER of –17.3 mL/s, for PFR of –26.9 mL/s, for time to PER of –7.7 milliseconds, and for time from ES to PFR of –11.0 milliseconds (Figs. 3A, 3B, 3C, 3D and 4A, 4B, 4C, 4D). Thereby, only overestimation of EDV proved significantly different (p = 0.042). In addition, there was a considerable trend toward overestimation of PER and PFR (p = 0.12 and p = 0.069, respectively).


Figure 7
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Fig. 3A Graphs show Bland-Altman analyses comparing global functional parameters obtained using dual-source CT and MRI; x-axis denotes average of dual-source CT (DSCT) and MRI. Point of intersection with y-axis indicates bias of dual-source CT. Dotted lines show SD of bias. Graphs show data for end-diastolic volume (EDV) (A), end-systolic volume (ESV) (B), ejection fraction (EF) (C), and stroke volume (SV) (D).

 

Figure 8
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Fig. 3B Graphs show Bland-Altman analyses comparing global functional parameters obtained using dual-source CT and MRI; x-axis denotes average of dual-source CT (DSCT) and MRI. Point of intersection with y-axis indicates bias of dual-source CT. Dotted lines show SD of bias. Graphs show data for end-diastolic volume (EDV) (A), end-systolic volume (ESV) (B), ejection fraction (EF) (C), and stroke volume (SV) (D).

 

Figure 9
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Fig. 3C Graphs show Bland-Altman analyses comparing global functional parameters obtained using dual-source CT and MRI; x-axis denotes average of dual-source CT (DSCT) and MRI. Point of intersection with y-axis indicates bias of dual-source CT. Dotted lines show SD of bias. Graphs show data for end-diastolic volume (EDV) (A), end-systolic volume (ESV) (B), ejection fraction (EF) (C), and stroke volume (SV) (D).

 

Figure 10
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Fig. 3D Graphs show Bland-Altman analyses comparing global functional parameters obtained using dual-source CT and MRI; x-axis denotes average of dual-source CT (DSCT) and MRI. Point of intersection with y-axis indicates bias of dual-source CT. Dotted lines show SD of bias. Graphs show data for end-diastolic volume (EDV) (A), end-systolic volume (ESV) (B), ejection fraction (EF) (C), and stroke volume (SV) (D).

 

Figure 11
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Fig. 4A Graphs show Bland-Altman analyses comparing time-dependent functional parameters obtained using dual-source CT and MRI; x-axis denotes average of dual-source CT (DSCT) and MRI. Point of intersection with y-axis indicates bias of dual-source CT. Graphs show data for peak ejection rate (PER) (A), peak filling rate (PFR) (B), time to PER (C), and time to PFR from end-systole (D).

 

Figure 12
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Fig. 4B Graphs show Bland-Altman analyses comparing time-dependent functional parameters obtained using dual-source CT and MRI; x-axis denotes average of dual-source CT (DSCT) and MRI. Point of intersection with y-axis indicates bias of dual-source CT. Graphs show data for peak ejection rate (PER) (A), peak filling rate (PFR) (B), time to PER (C), and time to PFR from end-systole (D).

 

Figure 13
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Fig. 4C Graphs show Bland-Altman analyses comparing time-dependent functional parameters obtained using dual-source CT and MRI; x-axis denotes average of dual-source CT (DSCT) and MRI. Point of intersection with y-axis indicates bias of dual-source CT. Graphs show data for peak ejection rate (PER) (A), peak filling rate (PFR) (B), time to PER (C), and time to PFR from end-systole (D).

 

Figure 14
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Fig. 4D Graphs show Bland-Altman analyses comparing time-dependent functional parameters obtained using dual-source CT and MRI; x-axis denotes average of dual-source CT (DSCT) and MRI. Point of intersection with y-axis indicates bias of dual-source CT. Graphs show data for peak ejection rate (PER) (A), peak filling rate (PFR) (B), time to PER (C), and time to PFR from end-systole (D).

 
As to the assessment of regional wall motion, there was an agreement in the rating of 329 (96.7%) of 340 myocardial segments. The weighted kappa value for all segments was 0.88 and proved a very good agreement. Weighted kappa for dysfunctional segments alone was 0.60. Specific results for segments obtained by either method are available in Table 2.


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TABLE 2: Agreement in Evaluation of Regional Wall Motion Between Dual-Source CT and MRI

 

Inter- and intraobserver reliability proved high for LV volumes and good for time-dependent variables (Table 3). According to CT reader 2, there was no significant trend toward overestimation of EDV in dual-source CT (p = 0.21).


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TABLE 3: Quantification of Reliability by Intraclass Correlation Coefficient (ICC)

 


Discussion
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 
LV function is a vital parameter for prognosis, therapy guidance, and follow-up of cardiovascular disease [1]. In the United States, about 1.5 million patients undergo invasive coronary angiography every year, and a large proportion of these individuals are referred to echocardiography before angiography for analysis of cardiac function. In the past few years, cardiac CT has matured significantly, and thanks to rapid technical evolution, cardiac CT ultimately holds the promise of becoming a true alternative to diagnostic conventional angiography in selected patients. With the more widespread use of cardiac CT and the capacity to easily visualize axial slices of the LV for any phase of the cardiac cycle, functional analysis by MDCT has evoked increasing interest. In this study, we have used a new dual-source CT scanner with increased temporal resolution of 83 or 42 milliseconds to assess both regional wall motion abnormalities and functional parameters during the whole of the cardiac cycle.

Our primary finding is that dual-source CT with enhanced temporal resolution not only provides good correlation for global functional parameters such as EF or SV but also accurately determines time-dependent parameters such as PER or PFR. Good agreement with cine MRI was likewise achieved for the assessment of regional wall motion.

The general capacity of MDCT to assess such global functional parameters as peak systolic or diastolic ventricular volume has previously been established by several investigators in 4- or 16-MDCT [712, 14, 19]. However, as is known from cardiac MRI, temporal resolution has a crucial impact on accuracy, and given the shortness of isovolumetric relaxation of the end-systole (40–60 milliseconds), a temporal resolution of 50 milliseconds or less has been defined as optimal for exact quantification [20, 21].

Whereas with 4-MDCT scanners, limited temporal resolution and the failure to capture the phase of maximum systolic contraction still led to systematic overestimation of ESV, the application of 16-MDCT allowed robust quantification of ventricular volumes with high correlation to cine MRI. In a pooled analysis of EF measurements from 8- and 16-MDCT scanners, the overall weighted average bias was found to be–1.8% [22]. For 64-MDCT systems with further improved temporal resolution, head-to-head comparisons with MRI are not yet available; however, promising results have been published with 2D echocardiography or gated SPECT used as the standard of reference [23, 24].

In our study, a multisegment reconstruction algorithm has been applied with temporal resolution, thus varying with heart rate between 42 and 83 milliseconds. Mean resolution was 60 milliseconds. Regarding global functional parameters, we found a slight and clinically irrelevant overestimation of EDV and ESV, whereas relative measurements such as EF were in excellent agreement, with a systematic error of less than 1%. Regarding the satisfactory correlation of time-dependent parameters in our study, differences between EDV or ESV were most likely not due to an inferior temporal resolution in dual-source CT. Interestingly, a meta-analysis of recent comparisons between MDCT and MRI has proven a small but systematic overestimation for ventricular volumes in MDCT [22]. A plausible explanation would be that a different level of contrast between blood and myocardium causes divergence in delineation of the trabecular–papillary muscle complex. The changing configuration of this complex during various heart cycle phases may likewise explain isolated overestimation of either EDV or ESV, as was observed in our study.

Reliable estimation of such global functional parameters as EDV, ESV, and EF is of the essence because they are independent predictors of morbidity and mortality in patients with CAD [25]. Notably, these variables are determined from LV contours at only two points of the cardiac cycle. Nevertheless, it has been shown that time–volume curves representing continuous LV volume changes throughout the cardiac cycle allow a more detailed quantitative analysis of LV performance [2628]. In fact, such parameters as PER or PFR provide a very sensitive and early detection of ejection or filling abnormalities and thereby allow a differentiation of either isolated systolic or diastolic dysfunction or a combination of both. Through the use of time–volume curves, progression of disease or response to therapy may thus more accurately be followed [2932]. Due to insufficient temporal resolution of previous CT scanners, however, assessment of time-dependent functional parameters has proven inaccurate and could not be used in clinical routine [13, 14].

Our results confirm that the improvement in temporal resolution translates into the feasibility of reliably quantifying time-dependent parameters, which show good to moderate agreement with measurements from MRI. Thereby, a systematic overestimation was noted for all time-dependent parameters obtained, and differences were almost significant for PER and PFR. Correlation with cine MRI was only moderate for time to PER or time from ES to PFR. For all time-dependent variables, a considerable scatter of values in both methods was causative of relatively poor limits of agreement.

In our study, intra- and interobserver reliability for time-dependent variables was not as good as for single ventricular volumes, notably EDV or ESV. This reflects the complex nature of parameters such as time to PER or PFR, which are calculated from multiple volumes within the cardiac cycle. However, the reliability of measurements was still high, and therefore only a small part of scatter may be explained by interobserver variability. Ultimately, the limited temporal resolution of dual-source CT remains the primary cause of only moderate correlation with cine MRI. Nevertheless, the general capacity to obtain time-dependent functional parameters with temporal resolution of 60 milliseconds is a new and interesting feature and certainly an asset for functional analysis using dual-source CT.

Limited temporal resolution of MDCT has likewise been a limitation in the evaluation of regional wall motion, which generally necessitates a temporal resolution of 80 milliseconds at rest—a requirement not met by previous CT generations [21]. Nevertheless, in the past, several investigators haven proven that assessment of regional wall motion is generally feasible and that moderate or good correlation may be obtained. With 16-MDCT and in comparison with MRI, the level of segmental agreement is reported to vary between 86% and 98% [10, 14, 19]. Although the 64-MDCT system has not yet been compared with MRI, a 96% agreement in regional wall motion has recently been reported in comparison with 2D echocardiography [23].

In our study, there was a 96.7% segmental agreement between MRI and dual-source CT regarding the assessment of regional wall motion. However, ratings remained discrepant in 3.3% of all included segments or 22.5% of only dysfunctional segments. Interestingly, the dominant limitation of dual-source CT was found to be the use of tube current modulation, with the periodic decrease of tube current and subsequent increase of image noise in systolic heart phases. In fact, although poor contrast opacification or conceivable motion artifacts could be excluded for all of our patients, the degradation of image quality in systole was retrospectively identified as the single reason for discrepant ratings in our study. Of note, in most of the previous studies on regional wall motion, tube current modulation was not used.

Nevertheless, modulation of tube current has been proven to be an effective tool for dose reduction and may limit patient dose by up to 47% according to the individual ECG [33]. Hence, omission of such a technical device seems not to be justified. Indeed, further control studies are warranted to exactly quantify the loss of accuracy with greater systolic image noise; the window width and lowest current of modulation may then be adjusted to special clinical issues.

In this context, it is important to note that modulation of tube current in our study did not impede correct identification of epicardial or endocardial contours on axial images. On the contrary, because of clearer delineation of myocardial margins in dual-source CT, the use of the semiautomated contour setting function proved more successful in CT and required fewer corrections when compared with MRI.

In noninvasive coronary angiography, ß-blockers are widely used to lower the heart rate and thereby reduce motion artifacts of coronary arteries. However, the artificial reduction of heart rate may alter functional parameters and may thus not reflect true cardiac performance [34]. Therefore, no additional ß-blocker medication was administered in our study. Of note, even in patients with heart rates ≥ 75 bpm, motion artifacts were absent and LV contours could be well defined.

The small number of observations and the considerable heterogeneity of underlying disease and degree of ventricular dysfunction is an obvious limitation to our study. Bias and SD for time-dependent parameters need to be confirmed in larger studies, and the evaluation of characteristic time–volume curve patterns for various types of cardiac insufficiencies is warranted.

In the present study, a slice gap of 5 mm was used to achieve a moderate examination time on MRI; by contrast, dual-source CT data sets were based on gapless 5-mm sections. Nevertheless, because temporal resolution is far more important for accurate evaluation of advanced functional parameters, this discrepancy of method is unlikely to cause significant distortion of results [20]. Opposing breath-holding techniques with resulting discrepancy of intrathoracic pressure may be a potential cause of systematic bias. Finally, susceptibility of ECG signal in MRI is a general source of discrete random error.

A serious limitation to routine use of advanced or time-dependent functional parameters is the impracticability of postprocessing. In our study, contour setting for multiple slices in every phase of the cardiac cycle required about 25–30 minutes for each technique. This was despite automatic contour setting and because of the many observer interactions required. Such unacceptable time constraints must be overcome by more sophisticated and automated postprocessing techniques before time–volume curves become a routine mosaic of LV functional assessment.

In conclusion, improved temporal resolution of dual-source CT not only provides an accurate analysis of global LV function but for the first time allows additional evaluation of time-dependent variables, even though their agreement with MRI is only moderate. Regional wall motion is assessed with good accuracy. With the increase of temporal resolution below 83 milliseconds, many of the previous limitations thus seem to have been overcome, and MDCT eventually will evolve as an attractive tool for combined evaluation of coronary arteries and ventricular function.


References
Top
Abstract
Introduction
Subjects and Methods
Results
Discussion
References
 

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