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Volumetric quantification of myocardial perfusion using analysis of multi-detector computed tomography 3D datasets: comparison with nuclear perfusion imaging

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Abstract

Background

Although the ability of multi-detector computed tomography (MDCT) to detect perfusion abnormalities associated with acute and chronic myocardial infarction (MI) has been demonstrated, this methodology is based on visual interpretation of selected 2D slices.

Objectives

We sought to develop a new technique for quantitative volumetric analysis of myocardial perfusion from 3D datasets and test it against resting nuclear myocardial perfusion imaging (NMPI) reference.

Methods

We studied 44 patients undergoing CTCA: a control group of 15 patients and a study group of 29 patients. MDCT datasets acquired for CTCA were analyzed using custom software designed to: (1) generate bull’s eye display of myocardial perfusion and (2) calculate a quantitative index of extent and severity of perfusion abnormality, QH, for 16 volumetric myocardial segments. Visual interpretation of MDCT-derived bull’s eyes was compared with rest NMPI scores using kappa statistics of agreement on a coronary territory and patient basis. Quantitative MDCT perfusion data were correlated with rest NMPI summed scores and used for objective detection of perfusion defects.

Results

Visual analysis of MDCT-derived bull’s eyes accurately detected perfusion defects in agreement with NMPI (kappa = 0.70 by territory; 0.79 by patient). Quantitative data were in good agreement with NMPI, as reflected by: (1) correlation of 0.87 (territory) and 0.84 (patient) between summed QH and NMPI scores, (2) area under ROC curve 0.87 with sensitivity of 0.79–0.92, specificity 0.83–0.91, and accuracy 0.83–0.89 for objective detection of abnormalities.

Conclusions

Our new technique for volumetric analysis of 3D MDCT images allows accurate objective detection of perfusion defects. This perfusion information can be obtained without additional radiation or contrast load, and may aid in elucidating the significance of coronary lesions.

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Authors and Affiliations

  1. University of Chicago Medical Center, Chicago, IL, USA

    Nadjia Kachenoura, Joseph A. Lodato, Rupa Mehta, Barbara Newby, Roberto M. Lang & Victor Mor-Avi

  2. DEIS, University of Bologna, Bologna, Italy

    Federico Veronesi & Cristiana Corsi

  3. University of Chicago MC5084, 5841 S. Maryland Ave., Chicago, IL, 60637, USA

    Victor Mor-Avi

Authors
  1. Nadjia Kachenoura
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  2. Federico Veronesi
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  3. Joseph A. Lodato
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  4. Cristiana Corsi
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  5. Rupa Mehta
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  6. Barbara Newby
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  7. Roberto M. Lang
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  8. Victor Mor-Avi
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Correspondence to Victor Mor-Avi.

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Kachenoura, N., Veronesi, F., Lodato, J.A. et al. Volumetric quantification of myocardial perfusion using analysis of multi-detector computed tomography 3D datasets: comparison with nuclear perfusion imaging. Eur Radiol 20, 337–347 (2010). https://doi.org/10.1007/s00330-009-1552-x

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  • DOI: https://doi.org/10.1007/s00330-009-1552-x

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