Predictive Value of Cardiac Magnetic Resonance Feature Tracking after Acute Myocardial Infarction: A Comparison with Dobutamine Stress Echocardiography

[EN] In acute ST-segment elevation myocardial infarction (STEMI) late gadolinium enhancement (LGE) may underestimate segmental functional recovery. We evaluated the predictive value of cardiac magnetic resonance (CMR) feature-tracking (FT) for functional recovery and whether it incremented the value of LGE compared to low-dose dobutamine stress echocardiography (LDDSE) and speckle-tracking echocardiography (STE). Eighty patients underwent LDDSE and CMR within 5-7 days after STEMI and segmental functional recovery was defined as improvement in wall-motion at 6-months CMR. Optimal conventional and FT parameters were analyzed and then also applied to an external validation cohort of 222 STEMI patients. Circumferential strain (CS) was the strongest CMR-FT predictor and addition to LGE increased the overall accuracy to 74% and was especially relevant in segments with 50-74% LGE (AUC 0.60 vs. 0.75, p = 0.001). LDDSE increased the overall accuracy to 71%, and in the 50-74% LGE subgroup improved the AUC from 0.60 to 0.69 (p = 0.039). LGE + CS showed similar value as LGE + LDDSE. In the validation cohort, CS was also the strongest CMR-FT predictor of recovery and addition of CS to LGE improved overall accuracy to 73% although this difference was not significant (AUC 0.69, p = 0.44). Conclusion: CS is the strongest CMR-FT predictor of segmental functional recovery after STEMI. Its incremental value to LGE is comparable to that of LDDSE whilst avoiding an inotropic stress agent. CS is especially relevant in segments with 50-74% LGE where accuracy is lower and further testing is frequently required to clarify the potential for recovery.This research was supported by the Instituto de Salud Carlos III and co-funded by Fondo Europeo de Desarrollo Regional (FEDER) (grant numbers PI17/01836 and CIBERCV16/11/00486). JG and DM acknowledge financial support from the "Agencia Valenciana de la Innovacion, Generalitat Valenciana" (grant) and from the "Conselleria d'Educacio, Investigacio, Cultura i Esport, Generalitat Valenciana" (grant number AEST/2019/037).Valente, FX.; Gavara-Doñate, J.; Gutiérrez, L.; Rios-Navarro, C.; Rello, P.; Maymi, M.; Fernandez-Galera, R.... (2021). Predictive Value of Cardiac Magnetic Resonance Feature Tracking after Acute Myocardial Infarction: A Comparison with Dobutamine Stress Echocardiography. Journal of Clinical Medicine. 10(22):1-12. https://doi.org/10.3390/jcm10225261S112102

Comparison of cardiac feature tracking and myocardial tagging for assessment of regional ventricular function

Type of funding source: Public grant(s) -National budget only. Main funding source(s): Carlos III Health Institute, Spanish Ministry of Economy and Competiveness; Agencia Valenciana de la Innovación, Generalitat ValencianaCanto Serrano, ID.; Tejero, P.; Lopez-Lereu, MP.; Monmeneu, JV.; Bodi, V.; Chorro, FJ.; Moratal, D. (2020). Comparison of cardiac feature tracking and myocardial tagging for assessment of regional ventricular function. Oxford University Press. 242-242. https://doi.org/10.1093/ehjci/ehaa946.0242S24224