Comparison of Cardiac MDCT with MRI and Echocardiography in the Assessement of Left Ventricular Function Poster No.: C-0969 Congress: ECR 2012 Type: Scientific Exhibit Authors: B. Kara, Y. Paksoy, C. Erol, M. KOPLAY, N. Aygul, S. Gumus; Konya/TR Keywords: Computer Applications-Detection, diagnosis, CT-Angiography, Cardiac, Hemodynamics / Flow dynamics DOI: 10.1594/ecr2012/C-0969 Any information contained in this pdf file is automatically generated from digital material submitted to EPOS by third parties in the form of scientific presentations. References to any names, marks, products, or services of third parties or hypertext links to thirdparty sites or information are provided solely as a convenience to you and do not in any way constitute or imply ECR's endorsement, sponsorship or recommendation of the third party, information, product or service. ECR is not responsible for the content of these pages and does not make any representations regarding the content or accuracy of material in this file. As per copyright regulations, any unauthorised use of the material or parts thereof as well as commercial reproduction or multiple distribution by any traditional or electronically based reproduction/publication method ist strictly prohibited. You agree to defend, indemnify, and hold ECR harmless from and against any and all claims, damages, costs, and expenses, including attorneys' fees, arising from or related to your use of these pages. Please note: Links to movies, ppt slideshows and any other multimedia files are not available in the pdf version of presentations. www.myesr.org Page 1 of 10
Purpose Our aim was to compare left ventricular (LV) function values obtained with cardiac 64multislice computed tomography (CT), two-dimensional echocardiography and magnetic resonance imaging (MRI). MRI was accepted as reference for LV function analysis. We also intended to assess the correlation between post-processing MRI softwares (MRArgus and CMR-tools). Methods and Materials Fourty patients scanned with cardiac CT were also evaluated by cardiac MRI and echocardiography. End-diastolic volume (EDV), end-systolic volume (ESV), stroke volume (SV), ejection fraction (EF), cardiac output (CO), and myocardial mass values were calculated with each modality and compared to each other. Pearson correlation and Bland-Altman analysis were used for the analysis of correlation between both MRI softwares, CT and CMR-tools, and echocardiography and CMR-tools. Results Although there was a good correlation for EF values between CT and CMR-tools (r=0.702 p<0.001), and between MR-Argus and CMR-tools (r=0.746 p<0.001), the correlation is found moderate between echocardiography and CMR-tools (r=0.449 p<0.004) (Fig. 1). There was a very good correlation for ESV values between CT and CMR-tools (r = 0.881 p<0.001), good correlation between echocardiography and CMR-tools (r = 0.792 p<0.001), and very good correlation between MR-Argus and CMR-tools (r = 0.961 p<0.001) (Fig. 2). A very good correlation was found for EDV values between CT and CMR-tools (r = 0.915 p<0.001), good correlation between echocardiography and CMRtools (r = 0.783 p<0.001), and very good correlation between MR-Argus and CMR-tools (r = 0.961 p<0.001) (Fig. 3). There was a good correlation for SV values between CT and CMR-tools (r = 0.828 p<0.001), moderate correlation between echocardiography and CMR-tools (r = 0.559 p<0.005), and good correlation between MR-Argus and CMR-tools (r = 0.608 p<0.001) (Fig. 4). There was a good correlation for CO values between CT and CMR-tools (r = 0.796 p<0.001), between echocardiography and CMR-tools (r = 0.608 p<0.001), and between MR-Argus and CMR-tools (r = 0.608 p<0.001) (Fig. 5). A very good correlation was found for MM values between CT and CMR-tools (r=0.884 p<0.001), moderate correlation between echocardiography and CMR-tools (r = 0.414 p<0.008), and very good correlation between MR-Argus and CMR-tools (r = 0.885 p<0.001) (Fig. 6). Page 2 of 10
Images for this section: Fig. 1: Fig. 1. Results of Pearson correlation and Bland-Altman analyses of left ventricle EF obtained from CT, 2DE and MR-Argus images against measurements derived from CMR images. Page 3 of 10
Fig. 2: Results of Pearson correlation and Bland-Altman analyses of left ventricle ESV obtained from CT, 2DE and MR-Argus images against measurements derived from CMR images. Page 4 of 10
Fig. 3: Results of Pearson correlation and Bland-Altman analyses of left ventricle EDV obtained from CT, 2DE and MR-Argus images against measurements derived from CMR images. Page 5 of 10
Fig. 4: Results of Pearson correlation and Bland-Altman analyses of left ventricle SV obtained from CT, 2DE and MR-Argus images against measurements derived from CMR images. Page 6 of 10
Fig. 5: Results of Pearson correlation and Bland-Altman analyses of left ventricle CO obtained from CT, 2DE and MR-Argus images against measurements derived from CMR images. Page 7 of 10
Fig. 6: Results of Pearson correlation and Bland-Altman analyses of left ventricle MM obtained from CT, 2DE and MR-Argus images against measurements derived from CMR images. Page 8 of 10
Conclusion The best correlation for ESV, EDV, EF values was between two MR softwares. The correlation coefficient between CT and CMR-tools was close to the correlation coefficient between MR-Argus and CMR-tools. While the correlation between echocardiography and CMR-tools was in good level for ESV, EDV, and CO values, it was in medium level for other parameters. Cardiac CT which is mainly used to detect coronary artery disease can also be used for LV function analysis in confidence, and gives more accurate results than echocardiography. References 1. 2. 3. 4. 5. 6. Plazzuoli A, Cademartini F, Geleijnse ML, Meijboom B, Pugliese F, Soliman O, et al. Left ventricular remodelling and systolic function measurement with 64 multi-slice computed tomography versus second harmonic echocardiography in patients with coronary artery disease: A double blind study. Eur J Radiol. 2010 Jan;73(1):82-8. Haz#rolan T, Ta#ba# B, Da#o#lu G.M, Canyi#it M, Abal# G, Aytemir K, et al. Comparison of short and long axis methods in cardiac MR imaging and echocardiography for left ventricular function: Diagn Interv Radiol. 2007; 13:33-38. Juergens KU, Grude M, Fallenberg EM, Opitz C, Whicter T, Heindel W, et al. Using ECG-gated Multidetector CT to Evaluate Global Left Ventricular Myocardial Function in Patients with Coronary Artery Disease. AJR. 2002;179:1545-1550. Lang RM, Bierig M, Devereux RB, Flachskampf FA, Foster E, Pellikka PA, et al. Recommendation for Chamber Quantification: A Report from the American Society of Echocardiography's Guidelines and standards Committee and the Chamber Quantification Writing Group, Developed in Conjunction with the european Association of Echocardiography a Branch of the European Society of Cardiology. J Am Soc Echocardiogr. 2005; 18:1440-1463. Arkam K, Anderson HD, Voros S. Quantification of Left Ventricular Paramaters Obtained by Automated Software for 64-slice Multidetector Computed Tomography and Comparision with Magnetic Resonance Imaging. Cardiovasc Intervent Radiol. 2009; 32:1154-1160. Sugeng L, Mor-Avi V, Weinert L, Niel J, Ebner C, Steringer-Mascherbauer R, et al. Quantitative assessment of left ventricular size and function: sideby-side comparison of real-time three-dimensional echocardiography and computed tomography with magnetic resonance reference. Circulation. 2006; 114(7):654-61. Page 9 of 10
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