Skip to main content
Log in

Multimodality imaging: bird’s eye view from The European Society of Cardiology Congress 2014 Barcelona, August 30-September 3, 2014

  • Abstracts/Proceedings
  • Published:
Journal of Nuclear Cardiology Aims and scope

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.

Figure 1
Figure 2
Figure 3
Figure 4

References

  1. Jensen MT, Sogaard P, Andersen HU, Bech J, Hansen TF, Biering-Sorensen T, et al. Global longitudinal strain by speckle-tracking echocardiography is impaired in type 1 diabetes patients with albuminuria—the Thousand&1 Study. Eur Heart J. 2014;35:1119.

    Google Scholar 

  2. Chan J, Burstow D, Ischenko M, Hamilton-Craig CR, Platts DG, Haseler L, et al. The impact of myocardial ischemia on transmural mechanics using multi-layer speckle tracking echocardiography. Eur Heart J. 2014;35:959.

    Google Scholar 

  3. Casas Rojo E, Fernandez-Golfin C, Gorissen W, Mogelvang R, Hassager C, Fuchs A, et al. Feasibility of a new hybrid imaging system featuring fusion of multislice coronary tomography and 3-D speckle-tracking echocardiography. Eur Heart J 2014;35:958

  4. Rodríguez Muñoz D, Carbonell San Roman A, Moya Mur JL, Reyes S, Pastor Pueyo P, Del Val Martin D, et al. Echocardiographic assessment of wall shear stress: association with the development of adverse remodeling after myocardial infarction. Eur Heart J 2014;35:958

  5. Brugger N, Wustmann K, Huerzeler M, Steck H, Seiler C. Impact of imaging modality, TTE vs. TEE, on the measurement of mitral regurgitant volume by three-dimensional integrated PISA. Eur Heart J. 2014;35:40.

    Google Scholar 

  6. Coenen A, Lubbers MM, Kurata A, Kono A, Dedic A, Saru RD, et al. Coronary CT angiography-derived fractional flow reserve, performed on-site using a novel reduced-order model, validated by invasive fractional flow reserve. Eur Heart J. 2014;35:715.

    Google Scholar 

  7. Ito H, Motoyama S, Sarai M, Kawai H, Nagahara Y, Takada K, et al. Prediction of cardiac events at non-culprit lesions in patients with acute coronary syndromes by plaque characteristics on coronary computed tomography angiography. Eur Heart J. 2014;35:459.

    Google Scholar 

  8. Plank F, Friedrich GJ, Dichtl W, Franz W, Feuchtner GM. Coronary computed tomography angiography in asymptomatic high-risk patients: non-calcifying and total coronary plaque burden predict outcome. Eur Heart J. 2014;35:453.

    Google Scholar 

  9. Auscher S, Heinsen L, Vinther K, Lambrechtsen J, Egstrup K. Effects of intensive lipid lowering therapy on coronary plaques composition in patients with acute myocardial infarction. Assessment with serial coronary CT-angiography. Eur Heart J. 2014;35:452.

    Google Scholar 

  10. Heo R, O’Hartaigh B, Gransar H, Valenti V, Gomez M, Shaw L, et al. Gender-based warranty period of a coronary artery calcium score of zero: a 15-year follow-up study. Eur Heart J. 2014;35:683.

    Article  Google Scholar 

  11. Hamdam A, Guetta V, Konen E, Raanani E, Klempfner R, Segev A, et al. Computed-tomographic assessment of membranous septal anatomy for risk prediction of atrioventricular block associated with transcatheter aortic balloon expandable valve implantation. Eur Heart J. 2014;35:200.

    Google Scholar 

  12. Major GP, Szilveszter B, Horvath T, Kovacs A, Pataki S, Vago H, et al. Diagnostic performance of cardiac CT in detecting left atrial thrombus. Eur Heart J. 2014;35:201.

    Article  Google Scholar 

  13. Hinojar R, Arroyo E, Foote L, Dabir D, Mahmoud I, Jackson T, et al. Native T1 values discriminate between health and disease in acute and convalescent stage of disease in clinically suspected myocarditis. Eur Heart J. 2014;35:119–20.

    Google Scholar 

  14. Hinojar R, Foote L, Arroyo Ucar E, Dabir D, Schnackenburg B, et al. Myocardial T2 mapping for improved detection of inflammatory myocardial involvement in acute and chronic myocarditis. Eur Heart J. 2014;35:120.

    Google Scholar 

  15. Kammerlander A, Tufaro C, Pfaffenberger S, Marzluf B, Aschauer S, Babayev J, et al. Myocardial biopsy for the validation of cardiac magnetic resonance T1 mapping for quantification of extracellular matrix. Eur Heart J 2014;35:176

  16. Nakamori S, Dohi K, Onishi K, Ishida M, Fujimoto N, Ichikawa Y, et al. Diffuse myocardial fibrosis assessed by cardiac magnetic resonance contrast-enhanced T1 mapping in heart failure with preserved ejection fraction. Eur Heart J. 2014;35:331.

    Article  Google Scholar 

  17. Nucifora G, Muser D, Masci PG, Barison A, Piccoli G, Rebellato L, et al. Relation between site of origin of monomorphic ventricular arrhythmias and myocardial tissue characteristics in non-ischemic left ventricular heart disease. Eur Heart J. 2014;35:705–6.

    Google Scholar 

  18. Penela D, Acosta J, Fernandez-Armenta J, Andreu D, De Caralt TM, Mont L, et al. Identification of the arrhythmogenic substrate in acute phase of STEMI. Eur Heart J. 2014;35:269.

    Google Scholar 

  19. Shanbhag SM, Aspelund T, Cao JJ, Schelbert EB, Kellman P, Eiriksdottir G, et al. Prognosis of atypical late gadolinium enhancement by cardiovascular MR in older adults in the ICELAND-MI study. Eur Heart J. 2014;35:37.

    Google Scholar 

  20. Giusca S, Kelle S, Nagel E, Buss SJ, Puntmann V, Wellnhofer E, et al. The presence of myocardial scar carries additional prognostic information in patients with diabetes who undergo late gadolinium enhancement magnetic resonance imaging. Eur Heart J. 2014;35:353.

    Article  Google Scholar 

  21. Sharir T, Kovalski G, Pinskiy M, Rochman A, Prochorov V, Bojko A, et al. Increased rate of very low isotope-dose stress-only myocardial perfusion SPECT using CZT technology and quantitative analysis. Eur Heart J. 2014;35:1133.

    Google Scholar 

  22. Pizzi MN, Romero-Farina G, Aguade-Bruix S, Limeres J, Andres-Villareal MN, Garcia-Dorado D, et al. Progressive reduction in positive ischemic gated-SPECT studies in the last years. Eur Heart J. 2014;35:1135.

    Google Scholar 

  23. Soukka I, Maaniitty T, Saraste A, Pikkarainen E, Uusitalo V, Ukkonen H, et al. Characterization of coronary microvascular dysfunction in patients with suspected coronary artery disease. Eur Heart J. 2014;35:1138.

    Google Scholar 

  24. Joshi NV, Elkhawad M, Rajani NK, Tarkin JM, Melville AJ, Richards JMJ, et al. Differential aortic inflammation and calcification in abdominal aortic aneurysm and atherosclerosis. Eur Heart J. 2014;35:455.

    Article  Google Scholar 

  25. Joshi NV, Toor I, Shah ASV, van Beek EJR, Fletcher A, Mills NL, et al. Systemic atherosclerotic inflammation following acute myocardial infarction. Eur Heart J. 2014;35:521.

    Google Scholar 

  26. Langwieser N, Rischpler C, Batrice A, Laugwitz KL, Schwaiger M, Nekolla S, et al. Simultaneous PET/MR imaging for predicting left ventricular function after myocardial infarction. Eur Heart J. 2014;35:458.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jeroen J. Bax MD, PhD.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bax, J.J., Delgado, V., Achenbach, S. et al. Multimodality imaging: bird’s eye view from The European Society of Cardiology Congress 2014 Barcelona, August 30-September 3, 2014. J. Nucl. Cardiol. 21, 1245–1251 (2014). https://doi.org/10.1007/s12350-014-0013-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12350-014-0013-3

Navigation