Characterization of peri-infarct zone heterogeneity by contrast-enhanced multidetector computed tomography: a comparison with magnetic resonance imaging.

OBJECTIVES This study examined whether multidetector computed tomography (MDCT) improves the ability to define peri-infarct zone (PIZ) heterogeneity relative to magnetic resonance imaging (MRI). BACKGROUND The PIZ as characterized by delayed contrast-enhancement (DE)-MRI identifies patients susceptible to ventricular arrhythmias and predicts outcome after myocardial infarction (MI). METHODS Fifteen mini-pigs underwent coronary artery occlusion followed by reperfusion. Both MDCT and MRI were performed on the same day approximately 6 months after MI induction, followed by animal euthanization and ex vivo MRI (n = 5). Signal density threshold algorithms were applied to MRI and MDCT datasets reconstructed at various slice thicknesses (1 to 8 mm) to define the PIZ and to quantify partial volume effects. RESULTS The DE-MDCT reconstructed at 8-mm slice thickness showed excellent correlation of infarct size with post-mortem pathology (r2 = 0.97; p < 0.0001) and MRI (r2 = 0.92; p < 0.0001). The DE-MDCT and -MRI were able to detect a PIZ in all animals, which correlates to a mixture of viable and nonviable myocytes at the PIZ by histology. The ex vivo DE-MRI PIZ volume decreased with slice thickness from 0.9 +/- 0.2 ml at 8 mm to 0.2 +/- 0.1 ml at 1 mm (p = 0.01). The PIZ volume/mass by DE-MDCT increased with decreasing slice thickness because of declining partial volume averaging in the PIZ, but was susceptible to increased image noise. CONCLUSIONS A DE-MDCT provides a more detailed assessment of the PIZ in chronic MI and is less susceptible to partial volume effects than MRI. This increased resolution best reflects the extent of tissue mixture by histopathology and has the potential to further enhance the ability to define the substrate of malignant arrhythmia in ischemic heart disease noninvasively.

[1]  Michael Jerosch-Herold,et al.  Quantification of Myocardial Perfusion Using Dynamic 64-Detector Computed Tomography , 2007, Investigative radiology.

[2]  Bénédicte Belge,et al.  Characterization of Acute and Chronic Myocardial Infarcts by Multidetector Computed Tomography: Comparison With Contrast-Enhanced Magnetic Resonance , 2006, Circulation.

[3]  R. Judd,et al.  Assessment of Myocardial Viability by Cardiovascular Magnetic Resonance Imaging , 2022 .

[4]  C. Higgins,et al.  Assessment of myocardial viability using standard extracellular and necrosis specific MR contrast media. , 2002, Academic radiology.

[5]  S. Abbara,et al.  Performance of Delayed-Enhancement Magnetic Resonance Imaging With Gadoversetamide Contrast for the Detection and Assessment of Myocardial Infarction: An International, Multicenter, Double-Blinded, Randomized Trial , 2009 .

[6]  Patrik Rogalla,et al.  Multisegment and Halfscan Reconstruction of 16-Slice Computed Tomography for Detection of Coronary Artery Stenoses , 2004, Investigative radiology.

[7]  Manojkumar Saranathan,et al.  FIESTA‐ET: High‐resolution cardiac imaging using echo‐planar steady‐state free precession , 2002, Magnetic resonance in medicine.

[8]  O. Simonetti,et al.  The use of contrast-enhanced magnetic resonance imaging to identify reversible myocardial dysfunction. , 2000, The New England journal of medicine.

[9]  Katherine C. Wu,et al.  Noninvasive imaging of myocardial viability: current techniques and future developments. , 2003, Circulation research.

[10]  O. Simonetti,et al.  An improved MR imaging technique for the visualization of myocardial infarction. , 2001, Radiology.

[11]  Jeroen J. Bax,et al.  Cardiac computed tomography: indications, applications, limitations, and training requirements: report of a Writing Group deployed by the Working Group Nuclear Cardiology and Cardiac CT of the European Society of Cardiology and the European Council of Nuclear Cardiology. , 2008, European heart journal.

[12]  L. Amado,et al.  The adult Göttingen minipig as a model for chronic heart failure after myocardial infarction: focus on cardiovascular imaging and regenerative therapies. , 2008, Comparative medicine.

[13]  Jonathan G Goldin,et al.  Assessment of Coronary Artery Disease by Cardiac Computed Tomography: A Scientific Statement From the American Heart Association Committee on Cardiovascular Imaging and Intervention, Council on Cardiovascular Radiology and Intervention, and Committee on Cardiac Imaging, Council on Clinical Cardiolog , 2006, Circulation.

[14]  Henry R. Halperin,et al.  Contrast-Enhanced Multidetector Computed Tomography Viability Imaging After Myocardial Infarction: Characterization of Myocyte Death, Microvascular Obstruction, and Chronic Scar , 2006, Circulation.

[15]  Dan W Rettmann,et al.  Accurate and Objective Infarct Sizing by Contrast-enhanced Magnetic Resonance Imaging in a Canine Myocardial Infarction Model , 2022 .

[16]  Katherine C. Wu,et al.  Infarct Tissue Heterogeneity by Magnetic Resonance Imaging Identifies Enhanced Cardiac Arrhythmia Susceptibility in Patients With Left Ventricular Dysfunction , 2007, Circulation.

[17]  H. Schelbert,et al.  Myocardial viability: methods of assessment and clinical relevance. , 1996, American heart journal.

[18]  J. Lima,et al.  Multidetector computed tomography myocardial perfusion imaging during adenosine stress. , 2006, Journal of the American College of Cardiology.

[19]  Eugenio Picano,et al.  Stress echo results predict mortality: a large-scale multicenter prospective international study. , 2003, Journal of the American College of Cardiology.

[20]  Udo Hoffmann,et al.  Reperfused myocardial infarction: contrast-enhanced 64-Section CT in comparison to MR imaging. , 2008, Radiology.

[21]  J. Lima,et al.  Prospective electrocardiogram-gated delayed enhanced multidetector computed tomography accurately quantifies infarct size and reduces radiation exposure. , 2009, JACC. Cardiovascular imaging.

[22]  B E Oppenheim,et al.  Direct comparison of fluorine-18-FDG SPECT, fluorine-18-FDG PET and rest thallium-201 SPECT for detection of myocardial viability. , 1995, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[23]  G. Molenberghs,et al.  Linear Mixed Models for Longitudinal Data , 2001 .

[24]  W. Stevenson,et al.  Characterization of the Peri-Infarct Zone by Contrast-Enhanced Cardiac Magnetic Resonance Imaging Is a Powerful Predictor of Post–Myocardial Infarction Mortality , 2006, Circulation.

[25]  Elmar Spuentrup,et al.  Assessment of myocardial viability in reperfused acute myocardial infarction using 16-slice computed tomography in comparison to magnetic resonance imaging. , 2005, Journal of the American College of Cardiology.

[26]  D. Berman,et al.  Consensus update on the appropriate usage of cardiac computed tomographic angiography. , 2007, The Journal of invasive cardiology.