Journal of Cardiovascular Computed Tomography
Volume 2, Issue 3 , Pages 141-148, May 2008

Comparison of left ventricular size by computed tomography with magnetic resonance imaging measures of left ventricle mass and volumes: The multi-ethnic study of atherosclerosis

  • Khurram Nasir, MD, MPH

      Affiliations

    • Cardiac MRI PET CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
    • Corresponding Author InformationCorresponding author. Address: Dr. Khurram Nasir, 165 Cambridge Street, Suite 400, Boston, MA 02467.
    • ,
  • Ronit Katz, PhD

      Affiliations

    • University of Washington, Seattle, WA, USA
    • ,
  • Songshou Mao, MD

      Affiliations

    • Harbor-UCLA Research and Education Institute, Torrance, CA, USA
    • ,
  • Junichiro Takasu, MD

      Affiliations

    • Harbor-UCLA Research and Education Institute, Torrance, CA, USA
    • ,
  • Chandra Bomma, MD

      Affiliations

    • Division of Cardiology, Johns Hopkins University, Baltimore, MD, USA
    • ,
  • Joao A.C. Lima, MD, MBA

      Affiliations

    • Division of Cardiology, Johns Hopkins University, Baltimore, MD, USA
    • ,
  • David A. Bluemke, MD, PhD

      Affiliations

    • Department of Radiology, Johns Hopkins University, Baltimore, MD, USA
    • ,
  • Richard Kronmal, PhD

      Affiliations

    • University of Washington, Seattle, WA, USA
    • ,
  • J. Jeffrey Carr, MD

      Affiliations

    • Department of Radiology, Wake Forest University, School of Medicine, Winston-Salem, NC, US
    • ,
  • Matthew J. Budoff, MD

      Affiliations

    • University of Washington, Seattle, WA, USA

Received 11 May 2007; accepted 23 January 2008. published online 01 February 2008.

Background

A non–contrast-enhanced cardiac computed tomography (NCE-CCT) scan for assessing coronary artery calcification (CAC) is being increasingly used for assessing underlying burden of atherosclerosis. Although many studies document the potential value of measuring CAC, little is known about the other measures such as left ventricular (LV) geometry that can be obtained from the same scan data.

Objectives

We sought to evaluate the accuracy of noncontrast CT–derived LV size (LVS; sum of LV volume and mass) compared with magnetic resonance imaging (MRI)–derived measures as the clinical reference standard.

Methods

Participants (n = 5004) in the Multi-Ethnic Study of Atherosclerosis (MESA) who underwent cardiac MRI studies from August 2000 to September 2002 were included. CT-derived LVS was defined as the sum of LV mass and LV intracavitary volume. The calculated LVS was taken from a measurement of a single slice from noncontrast images. Multivariate analysis adjusting for demographics was used to identify predictors of the relation between CT LVS and MRI LVS, and Bland-Altman analysis was performed comparing MRI-derived measures with CT-derived measure of LVS.

Results

The mean CT LVS was 187.8 ± 56.8 mL (range, 33.6–486.4 mL). The correlation was 0.73 (P = 0.01) for MRI-derived LV volume and 0.74 (P = 0.01) for MRI-derived LV mass. The correlation between CT LVS and MRI-derived LV end-diastolic total volume (mass + volume) was 0.79.

Conclusion

A single NCE-CT scan used to detect and quantify coronary calcification can also estimate LVS with reasonable accuracy compared with MRI. This provides a new method to study ventricular size in epidemiologic studies and potentially provide additional information for clinical screening of cardiac risk.

Keywords: MESA, Multi-Ethnic Study of Atherosclerosis, MRI, magnetic resonance imaging, Noncontrast CT

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 This research was supported by the National Heart, Lung, and Blood Institute (grants R01-HL-63963-01A1 and R01-HL-071739-03; contracts N01-HC-95159 through N01-HC-95165 and N01-HC-95169); Dr. Nasir is supported by the National Institutes of Health, Bethesda, MD (grant 1T32 HL076136-02).

 Conflict of interest: Dr. Budoff is on the Speaker's Bureau of Pfizer GE Healthcare. The other authors report no conflicts of interest.

PII: S1934-5925(08)00048-8

doi:10.1016/j.jcct.2008.01.003

Journal of Cardiovascular Computed Tomography
Volume 2, Issue 3 , Pages 141-148, May 2008

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