Skip to main content
Log in

Spectral CT imaging of myocardial infarction: preliminary animal experience

  • Cardiac
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objectives

To evaluate the capability of spectral CT imaging to detect the different stages and angiogenesis of myocardial infarction (MI).

Methods

MI was surgically induced in 40 rabbits that were evenly divided into four stages of MI: 6 h (6H), 3 days (3D), 7 days (7D) and 14 days (14D). Spectral CT was performed at 10 s, 1 min and 3 min after intravenous contrast medium administration. CD31 immunohistochemistry was used for the microvessel density (MVD) measurement. Iodine concentrations in the myocardium were measured and normalised to the aorta as nIC. The relationships between infarcted myocardial nIC and MVD were analysed.

Results

The nIC of infarct myocardium decreased at 10 s and increased in late-phase CT images. There were significant differences between the 6H and other groups (P 6H–3D = 0.01, P 6H–7D = 0.01, P 6H–14D = 0.00). There was a significant difference in the MVD of infarct myocardium between the two groups except in the 7D and 14D groups (P = 0.08). In the 10-s phase, the nIC of infarct myocardium was negatively correlated with MVD (r = -0.54, P = 0.00), whereas in the late phases, there was a positive correlation between them (r = 0.57, P = 0.00 in the 1-min phase, r = 0.48, P = 0.00 in the 3-min phase).

Conclusion

Spectral CT imaging of the myocardium can be used to evaluate the different stages and angiogenesis of MI.

Key Points

Multidetector CT is increasingly used to evaluate the heart.

Spectral CT offers increased opportunities to assess the myocardium.

In animals, spectral CT can evaluate different stages of myocardial infarction.

Spectral CT findings correlated with the angiogenesis of myocardial infarction.

Spectral CT can reflect dynamic changes of MI at low radiation doses.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Roger VL, Go AS, Lloyd-Jones DM et al (2011) Executive summary: heart disease and stroke statistics–2011 update: a report from the American Heart Association. Circulation 123:459–463

    Article  Google Scholar 

  2. Cai L, Johnstone BH, Cook TG et al (2009) IFATS collection: human adipose tissue-derived stem cells induce angiogenesis and nerve sprouting following myocardial infarction, in conjunction with potent preservation of cardiac function. Stem Cells 27:230–237

    Article  PubMed  CAS  Google Scholar 

  3. Siragusa M, Katare R, Meloni M et al (2010) Involvement of phosphoinositide 3-kinase γ in angiogenesis and healing of experimental myocardial infarction in mice. Circ Res 106:757–768

    Article  PubMed  CAS  Google Scholar 

  4. Meoli DF, Sadeghi MM, Krassilnikova S (2004) Noninvasive imaging of myocardial angiogenesis following experimental myocardial infarction. J Clin Invest 113:1684–1691

    PubMed  CAS  Google Scholar 

  5. Mahnken AH (2011) Computed tomography imaging in myocardial infarction. Expert Rev Cardiovasc Ther 9:211–221

    Article  PubMed  Google Scholar 

  6. Schuetz GM, Zacharopoulou NM, Schlattmann P et al (2010) Meta-analysis: noninvasive coronary angiography using computed tomography versus magnetic resonance imaging. Ann Intern Med 152:167–177

    PubMed  Google Scholar 

  7. Sayyed SH, Cassidy MM, Hadi MA (2009) Use of multidetector computed tomography for evaluation of global and regional left ventricular function. J Cardiovasc Comput Tomogr 3:S23–S34

    Article  PubMed  Google Scholar 

  8. Ruzsics B, Schwarz F, Schoepf UJ et al (2009) Comparison of dual-energy CT of the heart with single photon emission CT for assessment of coronary artery stenosis and of the myocardial blood supply. Am J Cardiol 104:318–326

    Article  PubMed  Google Scholar 

  9. Deseive S, Bauer RW, Lehmann R et al (2011) Dual-energy computed tomography for the detection of late enhancement in reperfused chronic infarction: a comparison to magnetic resonance imaging and histopathology in a porcine model. Invest Radiol 46:450–456

    Article  PubMed  Google Scholar 

  10. Blankstein R, Shturman L, Rogers I et al (2009) Adenosine induced stress myocardial perfusion imaging using dual source cardiac computed tomography. J Am Coll Cardiol 54:1072–1084

    Article  PubMed  Google Scholar 

  11. Okada DR, Ghoshhajra BB, Blankstein R et al (2010) Direct comparison of rest and adenosine stress myocardial perfusion CT with rest and stress SPECT. J Nucl Cardiol 17:27–37

    Article  PubMed  Google Scholar 

  12. Rubinshtein R, Miller TD, Williamson EE et al (2009) Detection of myocardial infarction by dual-source coronary computed tomography angiography using quantitated myocardial scintigraphy as the reference standard. Heart 95:1419–1422

    Article  PubMed  CAS  Google Scholar 

  13. Bauer RW, Kerl JM, Fischer N et al (2010) Dual-energy CT for the assessment of chronic myocardial infarction in patients with chronic coronary artery disease: comparison with 3-T MRI. AJR Am J Roentgenol 195:639–646

    Article  PubMed  Google Scholar 

  14. Mahnken AH, Jost G, Bruners P et al (2009) Multidetector computed tomography (MDCT) evaluation of myocardial viability: intraindividual comparison of monomeric vs. dimeric contrast media in a rabbit model. Eur Radiol 19:290–297

    Article  PubMed  Google Scholar 

  15. Brodoefel H, Klumpp B, Reimann A et al (2007) Sixty-four-MSCT in the characterization of porcine acute and subacute myocardial infarction: determination of transmurality in comparison to magnetic resonance imaging and histopathology. Eur J Radiol 62:235–246

    Article  PubMed  CAS  Google Scholar 

  16. Brodoefel H, Klumpp B, Reimann A et al (2007) Late myocardial enhancement assessed by 64-MSCT in reperfused porcine myocardial infarction: diagnostic accuracy of low-dose CT protocols in comparison with magnetic resonance imaging. Eur Radiol 17:475–483

    Article  PubMed  CAS  Google Scholar 

  17. Zhang LJ, Peng J, Wu SY, Yeh BM, Zhou CS, Lu GM (2010) Dual source dual-energy computed tomography of acute myocardial infarction: correlation with histopathologic findings in a canine model. Invest Radiol 45:290–297

    PubMed  Google Scholar 

  18. Kerl JM, Deseive S, Tandi C et al (2011) Dual energy CT for the assessment of reperfused chronic infarction—a feasibility study in a porcine model. Acta Radiol 52:834–839

    Article  PubMed  Google Scholar 

  19. Lv PJ, Lin XZ, Li JY et al (2011) Differentiation of small hepatic hemangioma from small hepatocellular carcinoma: recently introduced spectral CT method. Radiology 259:720–729

    Article  PubMed  Google Scholar 

  20. Hara A, Pavlicek W, Silva A (2010) Automated liver lesion characterization using fast kVp switching dual energy computed tomography imaging. Proc SPIE 7624. doi:10.1117/12.844059

  21. Zhao LQ, He W, Li JY et al (2011) Improving image quality in portal venography with spectral CT imaging. Eur J Radiol. doi:10.1016/j.ejrad.2011.02.063

  22. Springer ML (2010) Assessment of myocardial angiogenesis and vascularity in small animal models. Methods Mol Biol 660:149–167

    Article  PubMed  CAS  Google Scholar 

  23. Fujita M, Morimoto Y, Ishihara M et al (2004) A new rabbit model of myocardial infarction without endotracheal intubation. J Surg Res 116:124–128

    Article  PubMed  Google Scholar 

  24. Park JM, Choe YH, Chang S et al (2004) Usefulness of Multidetector-row CT in the evaluation of reperfused myocardial infarction in a rabbit model. Korean J Radiol 5:19–24

    Article  PubMed  Google Scholar 

  25. Mahnken AH, Bruners P, Kinzel S et al (2007) Late-phase MSCT in the different stages of myocardial infarction: animal experiments. Eur Radiol 17:2310–2317

    Article  PubMed  Google Scholar 

  26. Chiou KR, Huang WC, Peng NJ et al (2009) Dual-phase multi-detector computed tomography assesses jeopardized and infracted myocardium subtending infarct-related artery early after acute myocardial infarction. Heart 95:1495–1501

    Article  PubMed  Google Scholar 

  27. Lardo AC, Cordeiro MAS, Silva C et al (2006) Contrast-enhanced multidetector computed tomography viability imaging after myocardial infarction characterization of myocyte death, microvascular obstruction, and chronic Scar. Circulation 113:394–404

    Article  PubMed  Google Scholar 

  28. Lessic J, Drgau R, Mutlak D et al (2007) Is functional improvement after myocardial infarction predicted with myocardial enhancement patterns at multidetector CT? Radiology 244:736–744

    Article  Google Scholar 

  29. Gerber BL, Belge B, Legros GJ et al (2006) Characterization of acute and chronic myocardial infarcts by multidetector computed tomography: comparison with contrast-enhanced magnetic resonance. Circulation 113:823–833

    Article  PubMed  Google Scholar 

  30. Naresh NK, Ben-Mordechai T, Leor J et al (2011) Molecular imaging of healing after myocardial infarction. Curr Cardiovasc Imaging Rep 4:63–76

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The authors wish to thank Dr. Li Jianying for his technical support in understanding the dual energy spectral CT imaging mode and in editing the manuscript. We specially thank Hai-peng Dong, Zhen-fang Wu, Wei-ping Shi, He-shi Liu, Rui Chang and Meng-xiong Wu for their important contributions.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Huan Zhang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Pang, Lf., Zhang, H., Lu, W. et al. Spectral CT imaging of myocardial infarction: preliminary animal experience. Eur Radiol 23, 133–138 (2013). https://doi.org/10.1007/s00330-012-2560-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-012-2560-9

Keywords

Navigation