Quantitative assessment of left ventricular function with dual-source CT in comparison to cardiac magnetic resonance imaging: initial findings

Cardiac magnetic resonance imaging and echocardiography are currently regarded as standard modalities for the quantification of left ventricular volumes and ejection fraction. With the recent introduction of dual-source computedtomography (DSCT), the increased temporal resolution of 83 ms should also improve the assessment of cardiac function in CT. The aim of this study was to evaluate the accuracy of DSCT in the assessment of left ventricular functional parameters with cardiac magnetic resonance imaging (MRI) as standard of reference. Fifteen patients (two female, 13 male; mean age 50.8 ± 19.2 years) underwent CT and MRI examinations on a DSCT (Somatom Definition; Siemens Medical Solutions, Forchheim, Germany) and a 3.0-Tesla MR scanner (Magnetom Trio; Siemens Medical Solutions), respectively. Multiphase axial CT images were analysed with a semiautomatic region growing algorithms (Syngo Circulation; Siemens Medical Solutions) by two independent blinded observers. In MRI, dynamic cine loops of short axis slices were evaluated with semiautomatic contour detection software (ARGUS; Siemens Medical Solutions) independently by two readers. End-systolic volume (ESV), end-diastolic volume (EDV), ejection fraction (EF) and stroke volume (SV) were determined for both modalities, and correlation coefficient, systematic error, limits of agreement and inter-observer variability were assessed. In DSCT, EDV and ESV were 135.8 ± 41.9 ml and 54.9 ± 29.6 ml, respectively, compared with 132.1 ± 40.8 ml EDV and 57.6 ± 27.3 ml ESV in MRI. Thus, EDV was overestimated by 3.7 ml (limits of agreement −46.1/+53.6), while ESV was underestimated by 2.6 ml (−36.6/+31.4). Mean EF was 61.6 ± 12.4% in DSCT and 57.9 ± 9.0% in MRI, resulting in an overestimation of EF by 3.8% with limits of agreement at −14.7 and +22.2%. Rank correlation rho values were 0.81 for EDV (P = 0.0024), 0.79 for ESV (P = 0.0031) and 0.64 for EF (P = 0.0168). The kappa value of inter-observer variability were amounted to 0.85 for EDV, ESV and EF. DSCT offers the possibility to quantify left ventricular function from coronary CT angiography datasets with sufficient diagnostic accuracy, adding to the value of the modality in a comprehensive cardiac assessment. The observed differences in the measured values may be due to different post-processing methods and physiological reactions to contrast material injection without beta-blocker medication.

[1]  J. Serfaty,et al.  Accuracy of contrast-enhanced cine-MR sequences in the assessment of left ventricular function: comparison with precontrast cine-MR sequences. Results of a bicentric study , 2007, European Radiology.

[2]  Matthew J. Budoff,et al.  Assessment of Cardiac Function Using Multidetector Row Computed Tomography , 2006, Journal of computer assisted tomography.

[3]  S. Schoenberg,et al.  Single breath-hold real-time cine MR imaging: improved temporal resolution using generalized autocalibrating partially parallel acquisition (GRAPPA) algorithm , 2003, European Radiology.

[4]  J. Seward,et al.  Three‐Dimensional Echocardiography , 1998, Echocardiography.

[5]  J. Barkhausen,et al.  Assessment of left ventricular function and mass in patients undergoing computed tomography (CT) coronary angiography using 64-detector-row CT: comparison to magnetic resonance imaging , 2007, Acta radiologica.

[6]  Georg Mühlenbruch,et al.  Automated vs. manual assessment of left ventricular function in cardiac multidetector row computed tomography: comparison with magnetic resonance imaging , 2006, European Radiology.

[7]  W. Hundley,et al.  Utility of fast cine magnetic resonance imaging and display for the detection of myocardial ischemia in patients not well suited for second harmonic stress echocardiography. , 1999, Circulation.

[8]  Michael Jerosch-Herold,et al.  Left Ventricular Papillary Muscle Mass: Relationship to Left Ventricular Mass and Volumes by Magnetic Resonance Imaging , 2006, Journal of computer assisted tomography.

[9]  J. Yao,et al.  Three-dimensional echocardiography. , 1998, Current opinion in cardiology.

[10]  A. Huber,et al.  Dual-source-Computertomographie des Herzens , 2007, Der Radiologe.

[11]  Marco Das,et al.  Global left ventricular function in cardiac CT. Evaluation of an automated 3D region-growing segmentation algorithm , 2006, European Radiology.

[12]  Roman Fischbach,et al.  Left ventricular function studied with MDCT , 2006, European Radiology.

[13]  A. Huber,et al.  [Dual-source cardiac CT imaging with improved temporal resolution: Impact on image quality and analysis of left ventricular function]. , 2007, Der Radiologe.

[14]  W. Heindel,et al.  Multi-detector row CT of left ventricular function with dedicated analysis software versus MR imaging: initial experience. , 2004, Radiology.

[15]  Victor Mor-Avi,et al.  Quantitative Assessment of Left Ventricular Size and Function: Side-by-Side Comparison of Real-Time Three-Dimensional Echocardiography and Computed Tomography With Magnetic Resonance Reference , 2006, Circulation.

[16]  W. Bautz,et al.  Detection of Coronary Artery Stenoses With Thin-Slice Multi-Detector Row Spiral Computed Tomography and Multiplanar Reconstruction , 2003, Circulation.

[17]  Konstantin Nikolaou,et al.  Dual-source CT cardiac imaging: initial experience , 2006, European Radiology.

[18]  R. Günther,et al.  Sixteen-slice spiral CT versus MR imaging for the assessment of left ventricular function in acute myocardial infarction , 2005, European Radiology.

[19]  M. Reiser,et al.  Detection of Coronary Artery Stenoses With Multislice Helical CT Angiography , 2002, Journal of computer assisted tomography.

[20]  S. Schoenberg,et al.  Dual breath-hold magnetic resonance cine evaluation of global and regional cardiac function , 2006, European Radiology.