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Left ventricular ejection fraction using 64-slice CT coronary angiography and new evaluation software: initial experience

¹ Department of Radiology, David Geffen School of Medicine, University of California, Los Angeles and ² Siemens Medical Solutions, Los Angeles, California, USA

Correspondence: Mayil S Krishnam, Assistant Professor of Radiology, Cardiovascular and Thoracic Imaging, David Geffen School of Medicine, University of California at Los Angeles, Peter V Ueberroth Bldg, Suite 3371, 10945 Le Conte Avenue, Los Angeles, CA 90095–7206, USA. E-mail: mkrishnam{at}mednet.ucla.edu

The purpose of this study was to evaluate the feasibility and reliability of software-based quantification of left ventricular function using 64-slice CT coronary angiography. Data were collected from 26 subjects who underwent a 64-slice coronary CT angiography study. Two volumetric data sets at end diastole and end systole were reconstructed from each scan by means of retrospective electrocardiogram gating. Data sets were evaluated with a prototype of now commercially available software (Syngo Circulation I; Siemens Medical Solutions, Erlangen, Germany), which automatically segments the blood volume in the left ventricle after the user defines the mitral valve plane and any point within the ventricle. After segmentation of the blood pool in end systole and end diastole, the software automatically measures end systolic and end diastolic volume and calculates stroke volume and ejection fraction (EF).Two readers processed all CT data sets twice to assess for intra- and inter-observer variation. In addition, CT EF measurements were compared with those obtained by clinical echocardiography. Intra-observer variation for the calculated EF with CT were 13.6% and 15.6% for Readers 1 and 2, respectively. No significant difference in left ventricular functional parameters on CT existed between the readers (p>0.05). A Bland–Altman plot revealed a slight mean difference between EF measurements on CT and echocardiography, with all differences falling within two standard deviations of the mean in the setting of wide limits of agreement. In conclusion, assessment of left ventricular EF from CT coronary data using the new analysis software is rapid and easy. The software is user-friendly and provides good reproducibility for EF measurements with CT.