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Late iodine enhancement computed tomography with image subtraction for assessment of myocardial infarction

  • Cardiac
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Abstract

Objective

To evaluate the feasibility of image subtraction in late iodine enhancement CT (LIE-CT) for assessment of myocardial infarction (MI).

Methods

A comprehensive cardiac CT protocol and late gadolinium enhancement MRI (LGE-MRI) was used to assess coronary artery disease in 27 patients. LIE-CT was performed after stress CT perfusion (CTP) and CT angiography. Subtraction LIE-CT was created by subtracting the mask volume of the left ventricle (LV) cavity from the original LIE-CT using CTP dataset. The %MI volume was quantified as the ratio of LIE to entire LV volume, and transmural extent (TME) of LIE was classified as 0%, 1–24%, 25–49%, 50–74% or 75–100%. These results were compared with LGE-MRI using the Spearman rank test, Bland-Altman method and chi-square test.

Results

One hundred twenty-five (29%) of 432 segments were positive on LGE-MRI. Correlation coefficients for original and subtraction LIE-CT to LGE-MRI were 0.79 and 0.85 for %MI volume. Concordances of the 5-point grading scale between original and subtraction LIE-CT with LGE-MRI were 75% and 84% for TME; concordance was significantly improved using the subtraction technique (p <0.05).

Conclusion

Subtraction LIE-CT allowed more accurate assessment of MI extent than the original LIE-CT.

Key Points

Subtraction LIE-CT allows for accurate assessment of the extent of myocardial infarction.

Subtraction LIE-CT shows a close correlation with LGE-MRI in %MI volume.

Subtraction LIE-CT has significantly higher concordance with TME assessment than original LIE-CT.

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Abbreviations

CAD:

Coronary artery disease

CM:

Contrast medium

CT:

Computed tomography

CTA:

Computed tomography angiography

CTP:

Computed tomography perfusion

HU :

Hounsfield units

LGE:

Late gadolinium enhancement

LIE:

Late iodine enhancement

LV:

Left ventricle

MI:

Myocardial infarction

MRI:

Magnetic resonance imaging

SD :

Standard deviations

TME:

Transmural extent

References

  1. Kim RJ, Fieno DS, Parrish TB et al (1999) Relationship of MRI delayed contrast enhancement to irreversible injury, infarct age, and contractile function. Circulation 100:1992–2002

    Article  CAS  PubMed  Google Scholar 

  2. Cheong BY, Muthupillai R, Wilson JM et al (2009) Prognostic significance of delayed-enhancement magnetic resonance imaging: survival of 857 patients with and without left ventricular dysfunction. Circulation 120:2069–2076

    Article  PubMed  Google Scholar 

  3. Larose E, Rodés-Cabau J, Pibarot P et al (2010) Predicting late myocardial recovery and outcomes in the early hours of ST-segment elevation myocardial infarction traditional measures compared with microvascular obstruction, salvaged myocardium, and necrosis characteristics by cardiovascular magnetic resonance. J Am Coll Cardiol 55:2459–2469

    Article  PubMed  Google Scholar 

  4. Kim RJ, Wu E, Rafael A et al (2000) The use of contrast-enhanced magnetic resonance imaging to identify reversible myocardial dysfunction. N Engl J Med 343:1445–1453

    Article  CAS  PubMed  Google Scholar 

  5. Hadamitzky M, Langhans B, Hausleiter J et al (2014) Prognostic value of late gadolinium enhancement in cardiovascular magnetic resonance imaging after acute ST-elevation myocardial infarction in comparison with single-photon emission tomography using Tc99m-Sestamibi. Eur Heart J Cardiovasc Imaging 15:216–225

    Article  PubMed  Google Scholar 

  6. Goetti R, Feuchtner G, Stolzmann P et al (2011) Delayed enhancement imaging of myocardial viability: low-dose high-pitch CT versus MRI. Eur Radiol 21:2091–2099

    Article  PubMed  Google Scholar 

  7. Matsuda T, Kido T, Itoh T et al (2015) Diagnostic accuracy of late iodine enhancement on cardiac computed tomography with a denoise filter for the evaluation of myocardial infarction. Int J Card Imaging 31:177–185

    Article  Google Scholar 

  8. 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 

  9. Sato A, Nozato T, Hikita H et al (2012) Prognostic value of myocardial contrast delayed enhancement with 64-slice multidetector computed tomography after acute myocardial infarction. J Am Coll Cardiol 59:730–738

    Article  PubMed  Google Scholar 

  10. Shapiro MD, Sarwar A, Nieman K, Nasir K, Brady TJ, Cury RC (2010) Cardiac computed tomography for prediction of myocardial viability after reperfused acute myocardial infarction. J Cardiovasc Comput Tomogr 4:267–273

    Article  PubMed  Google Scholar 

  11. Nieman K, Shapiro MD, Ferencik M et al (2008) Reperfused myocardial infarction: contrast-enhanced 64-Section CT in comparison to MR imaging. Radiology 247:49–56

    Article  PubMed  Google Scholar 

  12. 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. Investig Radiol 46:450–456

    Article  Google Scholar 

  13. Kim RJ, Chen EL, Lima JA, Judd RM (1996) Myocardial Gd-DTPA kinetics determine MRI contrast enhancement and reflect the extent and severity of myocardial injury after acute reperfused infarction. Circulation 94:3318–3326

    Article  CAS  PubMed  Google Scholar 

  14. Langer C, Both M, Harders H et al (2015) Late enhanced computed tomography in hypertrophic cardiomyopathy enables accurate left-ventricular volumetry. Eur Radiol 25:575–584

    Article  PubMed  Google Scholar 

  15. Fujiwara H, Momoshima S, Akiyama T, Kuribayashi S (2013) Whole-brain CT digital subtraction angiography of cerebral dural arteriovenous fistula using 320-detector row CT. Neuroradiology 55:837–843

    Article  PubMed  Google Scholar 

  16. Hayashida E, Sasao A, Hirai T et al (2013) Can sufficient preoperative information of intracranial aneurysms be obtained by using 320-row detector CT angiography alone? Jpn J Radiol 31:600–607

    Article  PubMed  Google Scholar 

  17. Shrimpton PC, Hillier MC, Lewis MA, Dunn M (2006) National survey of doses from CT in the UK: 2003. Br J Radiol 79:968–980

    Article  CAS  PubMed  Google Scholar 

  18. Tanabe Y, Kido T, Kurata A, et al. (2017) Impact of knowledge-based iterative model reconstruction on myocardial late iodine enhancement in computed tomography and comparison with cardiac magnetic resonance. Int J Cardiovasc Imaging. 2017. doi: https://doi.org/10.1007/s10554-017-1137-8

  19. Kido T, Kido T, Nakamura M et al (2014) Three-dimensional phase-sensitive inversion recovery sequencing in the evaluation of left ventricular myocardial scars in ischemic and non-ischemic cardiomyopathy: comparison to three-dimensional inversion recovery sequencing. Eur J Radiol 83:2159–2166

    Article  PubMed  Google Scholar 

  20. Cerqueira MD, Weissman NJ, Dilsizian V, et al., American Heart Association Writing Group on Myocardial Segmentation and Registration for Cardiac Imaging (2002) Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart. A statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. Circulation 105:539-542

  21. Sternberg MR, Hadgu A (2001) A GEE approach to estimating sensitivity and specificity and coverage properties of the confidence intervals. Stat Med 20:1529–1539

    Article  CAS  PubMed  Google Scholar 

  22. Zhao L, Ma X, Delano MC et al (2013) Assessment of myocardial fibrosis and coronary arteries in hypertrophic cardiomyopathy using combined arterial and delayed enhanced CT: comparison with MR and coronary angiography. Eur Radiol 23:1034–1043

    Article  PubMed  Google Scholar 

  23. Shiozaki AA, Senra T, Arteaga E et al (2013) Myocardial fibrosis detected by cardiac CT predicts ventricular fibrillation/ventricular tachycardia events in patients with hypertrophic cardiomyopathy. J Cardiovasc Comput Tomogr 7:173–181

    Article  PubMed  PubMed Central  Google Scholar 

  24. Kurobe Y, Kitagawa K, Ito T et al (2014) Myocardial delayed enhancement with dual-source CT: advantages of targeted spatial frequency filtration and image averaging over half-scan reconstruction. J Cardiovasc Comput Tomogr 8:289–298

    Article  PubMed  Google Scholar 

  25. Wichmann JL, Arbaciauskaite R, Kerl JM et al (2014) Evaluation of monoenergetic late iodine enhancement dual-energy computed tomography for imaging of chronic myocardial infarction. Eur Radiol 24:1211–1218

    Article  PubMed  Google Scholar 

  26. Bondarenko O, Beek AM, Hofman MB et al (2005) Standardizing the definition of hyperenhancement in the quantitative assessment of infarct size and myocardial viability using delayed contrast-enhanced CMR. J Cardiovasc Magn Reson 7:481–485

    Article  PubMed  Google Scholar 

  27. Spiewak M, Malek LA, Misko J et al (2010) Comparison of different quantification methods of late gadolinium enhancement in patients with hypertrophic cardiomyopathy. Eur J Radiol 74:e149–e153

    Article  PubMed  Google Scholar 

  28. Aikawa T, Oyama-Manabe N, Naya M, et al. (2017) Delayed contrast-enhanced computed tomography in patients with known or suspected cardiac sarcoidosis: A feasibility study. Eur Radiol. doi: https://doi.org/10.1007/s00330-017-4824-x

  29. Beek AM, Kuhl HP, Bondarenko O et al (2003) Delayed contrast-enhanced magnetic resonance imaging for the prediction of regional functional improvement after acute myocardial infarction. J Am Coll Cardiol 42:895–901

    Article  PubMed  Google Scholar 

  30. Sharma RK, Arbab-Zadeh A, Kishi S et al (2015) Incremental diagnostic accuracy of computed tomography myocardial perfusion imaging over coronary angiography stratified by pre-test probability of coronary artery disease and severity of coronary artery calcification: The CORE320 study. Int J Cardiol 201:570–577

    Article  PubMed  Google Scholar 

  31. Mahnken AH, Koos R, Katoh M et al (2005) Assessment of myocardial viability in reperfused acute myocardial infarction using 16-slice computed tomography in comparison to magnetic resonance imaging. J Am Coll Cardiol 45:2042–2047

    Article  PubMed  Google Scholar 

  32. Matsumoto H, Matsuda T, Miyamoto K et al (2010) Late gadolinium-enhanced cardiovascular MRI at end-systole: feasibility study. AJR Am J Roentgenol 195:1088–1094

    Article  PubMed  Google Scholar 

  33. Masci PG, Francone M, Desmet W et al (2010) Right ventricular ischemic injury in patients with acute ST-segment elevation myocardial infarction: characterization with cardiovascular magnetic resonance. Circulation 122:1405–1412

    Article  PubMed  Google Scholar 

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Funding

The authors state that this work has not received any funding.

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Authors and Affiliations

Authors

Corresponding author

Correspondence to Yuki Tanabe.

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Guarantor

The scientific guarantor of this publication is Teruhito Mochizuki.

Conflict of interest

The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

Statistics and biometry

One of the authors, Dr. Natsumi Yamashita, Department of Clinical Biostatistics, Section of Cancer Prevention and Epidemiology, Clinical Research Center, National Hospital Organization Shikoku Cancer Center, is an expert in statistics.

Ethical approval

Institutional Review Board approval was obtained.

Informed consent

Written informed consent was obtained from all subjects (patients) in this study.

Methodology

• retrospective

• observational

• performed at one institution

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Tanabe, Y., Kido, T., Kurata, A. et al. Late iodine enhancement computed tomography with image subtraction for assessment of myocardial infarction. Eur Radiol 28, 1285–1292 (2018). https://doi.org/10.1007/s00330-017-5048-9

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  • DOI: https://doi.org/10.1007/s00330-017-5048-9

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