American Journal of Cardiology
Volume 106, Issue 4 , Pages 483-491, 15 August 2010

Usefulness of Radial Strain Mapping by Multidetector Computer Tomography to Quantify Regional Myocardial Function in Patients With Healed Myocardial Infarction

  • Thomas M. Helle-Valle, MD

      Affiliations

    • Cardiology Division, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
    • Department of Cardiology, Rikshospitalet University Hospital, and Faculty of Medicine, University of Oslo, Oslo, Norway
    • Corresponding Author InformationCorresponding author: Tel: 47-23-07-14-03; fax: 47-23-07-35-30
  • ,
  • Wen-Chung Yu, MD

      Affiliations

    • Cardiology Division, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
    • Department of Cardiology, Taipei Veterans General Hospital, Taipei, Taiwan
  • ,
  • Verônica R.S. Fernandes, MD, PhD

      Affiliations

    • Cardiology Division, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
  • ,
  • Boaz D. Rosen, MD

      Affiliations

    • Cardiology Division, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
  • ,
  • João A.C. Lima, MD

      Affiliations

    • Cardiology Division, Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
    • Department of Radiology, Johns Hopkins University, Baltimore, Maryland

Received 29 October 2009; received in revised form 25 March 2010; accepted 25 March 2010.

We introduce and evaluate strain mapping by multidetector computer tomography as a new noninvasive method for assessment of myocardial function. In patients (n = 16) with healed myocardial infarction, peak systolic radial strain was measured by automated pixel pattern matching analysis of multiple left ventricular 64-slice multidetector computer tomographic short-axis recordings. For comparison, radial strain and myocardial infarct extent were measured by tagged magnetic resonance imaging (MRI) and late enhancement MRI, respectively. In a linear mixed model analysis, myocardial infarct extent was a strong predictor of segmental strain by multidetector computer tomography (beta = −0.44, p <0.0001). Strain was significantly different among noninfarcted (0%), nontransmurally infarcted (0% to 50%), and transmurally infarcted (>50%) segments (p <0.001) and between infarcted and noninfarcted border zone segments (p <0.001). There was a close relation between strain by multidetector computer tomography and by tagged MRI (mean difference −7.4 ± 11.7%, r = 0.68, p <0.0001). Mean time-to-peak systolic strain was 324 ± 42 ms by multidetector computer tomography and 335 ± 56 ms by tagged MRI (mean difference 11 ± 40 ms). In conclusion, to our knowledge this is the first study to demonstrate that regional myocardial function can be quantified by multidetector computer tomographic imaging, indicating that assessment of radial strain by multidetector computer tomography might be a useful tool in the evaluation of patients with cardiovascular diseases.

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 Dr. Helle-Valle was supported by the Gidske and Peter Jacob Sørensens Foundation (Oslo, Norway), the Alf and Aagot Helgesens Fund (Oslo, Norway), Norwegian Society of Cardiology (Oslo, Norway), and the Unger-Vetlesen Research Foundation (Jersey, Channel Islands). Dr. Lima receives grant support from the National Institutes of Health (Bethesda, Maryland), the D.W. Reynolds Foundation, and Toshiba Medical Systems (Otawara, Japan).

PII: S0002-9149(10)00849-0

doi:10.1016/j.amjcard.2010.03.063

American Journal of Cardiology
Volume 106, Issue 4 , Pages 483-491, 15 August 2010