Layer-specific fast strain-encoded cardiac magnetic resonance imaging aids in the identification and discrimination of acute myocardial injury: a prospective proof-of-concept study
Background - Acute myocardial injury is a common diagnosis in the emergency department and differential diagnoses are numerous. Cardiac magnetic resonance (CMR) strain sequences, such as fast strain ENCoded (fSENC), are early predictors of myocardial function loss. This study assessed the potential...
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| Hauptverfasser: | , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
20 February 2024
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| In: |
Journal of cardiovascular magnetic resonance
Year: 2024, Jahrgang: 26, Heft: 1, Pages: 1-9 |
| ISSN: | 1532-429X |
| DOI: | 10.1016/j.jocmr.2024.101001 |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1016/j.jocmr.2024.101001 Verlag, lizenzpflichtig, Volltext: https://www.sciencedirect.com/science/article/pii/S109766472400992X 
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| Verfasserangaben: | Lukas D. Weberling, David Albert, Andreas Ochs, Marco Ochs, Deborah Siry, Janek Salatzki, Evangelos Giannitsis, Norbert Frey, Johannes Riffel, Florian André |
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| 245 | 1 | 0 | |a Layer-specific fast strain-encoded cardiac magnetic resonance imaging aids in the identification and discrimination of acute myocardial injury |b a prospective proof-of-concept study |c Lukas D. Weberling, David Albert, Andreas Ochs, Marco Ochs, Deborah Siry, Janek Salatzki, Evangelos Giannitsis, Norbert Frey, Johannes Riffel, Florian André |
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| 520 | |a Background - Acute myocardial injury is a common diagnosis in the emergency department and differential diagnoses are numerous. Cardiac magnetic resonance (CMR) strain sequences, such as fast strain ENCoded (fSENC), are early predictors of myocardial function loss. This study assessed the potential diagnostic and prognostic benefits of a layer-specific approach. - Methods - For this prospective study, patients in the emergency department fulfilling rule-in criteria for non-ST-elevation myocardial infarction (NSTEMI) received an ultra-fast fSENC CMR. Volunteers without cardiac diseases (controls) were recruited for comparison. Measurements were performed in a single heartbeat acquisition to measure global longitudinal strain (GLS) and segmental longitudinal strain and dysfunctional segments. The GLS was measured in two layers and a difference (GLSdifference = GLSepicardial - GLSendocardial) was calculated. The performance of those strain features was compared to standard care (physical examination, cardiac biomarkers, electrocardiogram). According to the final diagnosis after discharge, patients were divided into groups and followed up for 2 years. - Results - A total of 114 participants, including 50 controls, were included. The 64 patients (51 male) were divided into a NSTEMI (25), myocarditis (16), and other myocardial injury group (23). GLS served as a potent predictor of myocardial injury (area under the curve (AUC) 91.8%). The GLSdifference provided an excellent diagnostic performance to identify a NSTEMI (AUC 83.2%), further improved by including dysfunctional segments (AUC 87.5%, p = 0.01). An optimal test was achieved by adding fSENC to standard care (AUC 95.5%, sensitivity 96.0%, specificity 86.5%, p = 0.03). No death occurred in 2 years for patients with normal GLS and ≤5 dysfunctional segments, while three patients died that showed abnormal GLS or >5 dysfunctional segments. - Conclusions - Layer-specific strain is a potential new marker with high diagnostic performance in the identification and differentiation of acute myocardial injuries. | ||
| 650 | 4 | |a Cardiovascular Imaging | |
| 650 | 4 | |a CMR | |
| 650 | 4 | |a fSENC | |
| 650 | 4 | |a Myocarditis | |
| 650 | 4 | |a NSTEMI | |
| 650 | 4 | |a Strain | |
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