Cardiac Magnetic Resonance Myocardial Feature Tracking for Optimized Prediction of Cardiovascular Events Following Myocardial Infarction

Ingo Eitel, Thomas Stiermaier, Torben Lange, Karl Philipp Rommel, Alexander Koschalka, Johannes T. Kowallick, Joachim Lotz, Shelby Kutty, Matthias Gutberlet, Gerd Hasenfuß, Holger Thiele, Andreas Schuster

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

Objectives: The aims of the study were to assess the prognostic significance of cardiac magnetic resonance myocardial feature tracking (CMR-FT) in a large multicenter study and to evaluate the most potent CMR-FT predictor of hard clinical events following myocardial infarction (MI). Background: CMR-FT is a new method that allows accurate assessment of global and regional circumferential, radial, and longitudinal myocardial strain. The prognostic value of CMR-FT in patients with reperfused MI is unknown. Methods: The study included 1,235 MI patients (n = 795 with ST-segment elevation MI and 440 with non–ST-elevation MI) at 15 centers. All patients were reperfused by primary percutaneous coronary intervention. Central core laboratory–masked analyses were performed to determine left ventricular (LV) circumferential, radial, and longitudinal strain. The primary clinical endpoint of the study was the occurrence of major adverse cardiac events within 12 months after infarction. Results: Patients with cardiovascular events had significantly impaired CMR-FT strain values (p < 0.001 for all). Global longitudinal strain was identified as the strongest CMR-FT parameter of future cardiovascular events and emerged as an independent predictor of poor prognosis following MI even after adjustment for established prognostic markers. Global longitudinal strain provided an incremental prognostic value for all-cause mortality above LV ejection fraction (c-index increase from 0.65 to 0.73; p = 0.04) and infarct size (c-index increase from 0.60 to 0.78; p = 0.002). Conclusions: CMR-FT is a superior measure of LV function and performance early after reperfused MI with incremental prognostic value for mortality over and above LV ejection fraction and infarct size. (Abciximab i.v. Versus i.c. in ST-segment elevation Myocardial Infarction [AIDA STEMI]; NCT00712101; Thrombus Aspiration in ThrOmbus Containing culpRIT Lesions in Non-ST-Elevation Myocardial Infarction [TATORT-NSTEMI]; NCT01612312)

Original languageEnglish (US)
Pages (from-to)1433-1444
Number of pages12
JournalJACC: Cardiovascular Imaging
Volume11
Issue number10
DOIs
StatePublished - Oct 2018

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Magnetic Resonance Spectroscopy
Myocardial Infarction
Stroke Volume
Thrombosis
Patient Identification Systems
Mortality
Percutaneous Coronary Intervention
Left Ventricular Function
Infarction
Multicenter Studies
ST Elevation Myocardial Infarction

Keywords

  • cardiac magnetic resonance
  • feature tracking
  • myocardial infarction
  • prognosis
  • risk stratification
  • strain

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Cardiology and Cardiovascular Medicine

Cite this

Cardiac Magnetic Resonance Myocardial Feature Tracking for Optimized Prediction of Cardiovascular Events Following Myocardial Infarction. / Eitel, Ingo; Stiermaier, Thomas; Lange, Torben; Rommel, Karl Philipp; Koschalka, Alexander; Kowallick, Johannes T.; Lotz, Joachim; Kutty, Shelby; Gutberlet, Matthias; Hasenfuß, Gerd; Thiele, Holger; Schuster, Andreas.

In: JACC: Cardiovascular Imaging, Vol. 11, No. 10, 10.2018, p. 1433-1444.

Research output: Contribution to journalArticle

Eitel, I, Stiermaier, T, Lange, T, Rommel, KP, Koschalka, A, Kowallick, JT, Lotz, J, Kutty, S, Gutberlet, M, Hasenfuß, G, Thiele, H & Schuster, A 2018, 'Cardiac Magnetic Resonance Myocardial Feature Tracking for Optimized Prediction of Cardiovascular Events Following Myocardial Infarction', JACC: Cardiovascular Imaging, vol. 11, no. 10, pp. 1433-1444. https://doi.org/10.1016/j.jcmg.2017.11.034
Eitel, Ingo ; Stiermaier, Thomas ; Lange, Torben ; Rommel, Karl Philipp ; Koschalka, Alexander ; Kowallick, Johannes T. ; Lotz, Joachim ; Kutty, Shelby ; Gutberlet, Matthias ; Hasenfuß, Gerd ; Thiele, Holger ; Schuster, Andreas. / Cardiac Magnetic Resonance Myocardial Feature Tracking for Optimized Prediction of Cardiovascular Events Following Myocardial Infarction. In: JACC: Cardiovascular Imaging. 2018 ; Vol. 11, No. 10. pp. 1433-1444.
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AU - Rommel, Karl Philipp

AU - Koschalka, Alexander

AU - Kowallick, Johannes T.

AU - Lotz, Joachim

AU - Kutty, Shelby

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AU - Hasenfuß, Gerd

AU - Thiele, Holger

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