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In Vivo Parametric T1 Maps Correlate with Structural and Molecular Characteristics of Focal Fibrosis

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Functional Imaging and Modelling of the Heart (FIMH 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10263))

Abstract

The purpose of this work was to use noninvasive in vivo MRI to characterize the substrate (i.e., known as gray zone, GZ) of ventricular arrhythmia, a major cause of sudden death. Our aim was to use a preclinical model of chronic infarction to study the structural and molecular characteristics of infarcted areas. For this, we related parametric T1 maps with the density of collagen and gap junctions (Cx43 proteins) in patchy fibrosis in n = 6 swine with chronic infarction. Specifically, in vivo T1 relaxation maps were calculated from 2D multi-contrast late enhancement (MCLE) MR images obtained at 1 × 1 × 5 mm resolution. Quantitative analysis and regression analysis demonstrated that the comparison between GZ and scar extent in MCLE to the corresponding areas identified in histology, yielded very good correlations in both cases (i.e., goodness of fit: R2 = 0.89 for GZ, and 0.92 for dense scar, respectively). Furthermore, the gap junction Cx43 density was significantly reduced (i.e., by > 50%) in the ischemic GZ areas determined from MCLE. These novel results suggest that in vivo 2D parametric T1 maps can be used to evaluate the biophysical properties of healing myocardium post-infarction, and to distinguish between the infarct categories (i.e., scar vs. GZ) with re-modelled structural and electrical characteristics.

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References

  1. Ursell, P.C., Gardner, P.I., Albala, A., Fenoglio, J., Wit, A.L.: Structural and electrophysiological changes in the epicardial border zone of canine myocardial infarcts during infarct healing. Circ. Res. 56, 436–451 (1985)

    Article  Google Scholar 

  2. Bolick, D., Hackel, D., Reimer, K., Ideker, R.: Quantitative analysis of myocardial infarct structure in patients with ventricular tachycardia. Circulation 74(6), 1266 (1986)

    Article  Google Scholar 

  3. Janse, M.J., Wit, A.L.: Electrophysiological mechanisms of ventricular arrhythmias resulting from myocardial ischemia and infarction. Physiol. Rev. 69(4), 1049–1169 (1989)

    Google Scholar 

  4. Bello, D., Fieno, D.S., Kim, R.J., et al.: Infarct morphology identifies patients with substrate for sustained ventricular tachycardia. J. Am. Coll. Cardiol. 45(7), 1104–1110 (2005)

    Article  Google Scholar 

  5. Kim, R.J., Fieno, D.S., Parrish, T.B., Harris, K., Chen, E.L., Simonetti, O., Bundy, J., Finn, J.P., Klocke, F.J., Judd, R.M.: Relationship of MRI delayed contrast enhancement to irreversible injury, infarct age, and contractile function. Circulation 100, 1992–2002 (1999)

    Article  Google Scholar 

  6. Codreanu, A., Odille, F., Aliot, E., et al.: Electro-anatomic characterization of post-infarct scars comparison with 3D myocardial scar reconstruction based on MR imaging. J. Am. Coll. Cardiol. 52, 839–842 (2008)

    Article  Google Scholar 

  7. Wijnmaalen, A., van der Geest, R., van Huls van Taxis, C., Siebelink, H., Kroft, L., Bax, J., Reiber, J., Schalij, M., Zeppenfeld, K.: Head-to-head comparison of contrast-enhanced magnetic resonance imaging and electroanatomical voltage mapping to assess post-infarct scar characteristics in patients with ventricular tachycardias: Real-time image integration and reversed registration. Eur. Heart J. 32(1), 104–114 (2011)

    Article  Google Scholar 

  8. Roes, S.D., Borleffs, C.J., van der Geest, R.J., et al.: Infarct tissue heterogeneity assessed with contrast-enhanced MRI predicts spontaneous ventricular arrhythmia in patients with ischemic cardiomyopathy and implantable cardioverter-defibrillator. Circ. Cardiovasc. Imaging 2, 183–190 (2009)

    Article  Google Scholar 

  9. Detsky, J.S., Paul, G., Dick, A.J., Wright, G.A.: Reproducible classification of infarct heterogeneity using fuzzy clustering on multicontrast delayed enhancement magnetic resonance images. IEEE Trans. Med. Imaging 28(10), 1606–1614 (2009)

    Article  Google Scholar 

  10. Pop, M., Ramanan, V., Yang, F., Zhang, L., Newbigging, S., Ghugre, N., Wright, G.A.: High resolution 3D T1* mapping and quantitative image analysis of the gray zone in chronic fibrosis. IEEE Trans. Biomed. Eng. 61(12), 2930–2938 (2014)

    Article  Google Scholar 

  11. Salerno, M., Janardhanan, R., Jiji, R.S., Brooks, J., Adenaw, N., Mehta, B., Yang, Y., Antkowiak, P., Kramer, C.M., Epstein, F.H.: Comparison of methods for determining the partition coefficient of gadolinium in the myocardium using T1 mapping. J. Magn. Reson. Imaging 38(1), 217–224 (2013)

    Article  Google Scholar 

  12. Pop, M., Ghugre, N.R., Ramanan, V., Morikawa, L., Stanisz, G., Dick, A.J., Wright, G.A.: Quantification of fibrosis in infarcted swine hearts by ex vivo late gadolinium-enhancement and diffusion-weighted MRI methods. Phys. Med. Biol. 58(15), 5009 (2013)

    Article  Google Scholar 

  13. Jansen, J., van Veen, T., de Jong, S., van der Nagel, R., van Stuijvenberg, L., Driessen, H., Labzowsky, R., Oefner, C.M., Bosch, A., Nguyen, T.Q., Goldschmeding, R., Vos, M.A., de Bakker, J.M.T., van Rijen, H.: Reduced Cx43 expression triggers increased fibrosis due to enhanced fibroblast activity. Circ. Arrhythmias Electrophysiol. 5(2), 380–391 (2012)

    Article  Google Scholar 

  14. Kawara, T., Derksen, R., de Groot, J.R., Coronel, R., Tasseron, S., Janse, M.J., de Bakker, M.J.: Activation delay after premature stimulation in chronically diseased myocardium relates to architecture of interstitial fibrosis. Circulation 104, 3069–3075 (2001)

    Article  Google Scholar 

  15. Stevenson, W.G.: Ventricular scars and VT tachycardia. Trans. Am. Clin. Assoc. 120, 403–412 (2009)

    Google Scholar 

  16. Zhang, L., Athavale, P., Pop, M., Wright, G.A.: Multi-contrast reconstruction using compressed sensing with low rank and spatially-varying edge-preserving constraints for high-resolution MR characterization of myocardial infarction. Magn. Reson. Med., September 2016, in press. (doi:10.1002/mrm.26402)

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Acknowledgement

The authors would like to thank preclinical veterinary technicians at Sunnybrook for help with the infarct creation and MR studies. This work was financially supported by a CIHR grant (MOP #93531).

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Correspondence to Mihaela Pop .

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Pop, M., Oduneye, S., Zhang, L., Newbigging, S., Wright, G. (2017). In Vivo Parametric T1 Maps Correlate with Structural and Molecular Characteristics of Focal Fibrosis. In: Pop, M., Wright, G. (eds) Functional Imaging and Modelling of the Heart. FIMH 2017. Lecture Notes in Computer Science(), vol 10263. Springer, Cham. https://doi.org/10.1007/978-3-319-59448-4_2

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  • DOI: https://doi.org/10.1007/978-3-319-59448-4_2

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  • Online ISBN: 978-3-319-59448-4

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