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Layer-specific rapid strain-encoded cardiovascular magnetic resonance imaging in patients with suspected acute coronary syndrome: a prospective investigation
To assess the diagnostic potential of fast Strain-ENCoded (fSENC)-derived strain measurements, specifically Global Longitudinal Strain (GLS) and GLS-Dif, in patients at low-to-intermediate risk with suspected acute coronary syndrome.
Key Findings:
fSENC strain measurements demonstrated high reliability and predictive power for cardiac outcomes.
GLS-Dif effectively differentiated Non-ST Elevation Myocardial Infarction (NSTEMI) from other Acute Myocardial Infarctions (AMIs).
The study included patients with low-to-intermediate risk, enhancing real-world applicability.
Interpretation:
The findings suggest that fSENC-derived strain measurements can serve as valuable diagnostic tools in emergency settings for patients with suspected acute coronary syndrome.
Limitations:
Single-centre study may limit generalizability.
Exclusion of patients with previous cardiac events may affect results.
Small sample size in prior studies limits broader conclusions and may impact the reliability of findings.
Conclusion:
fSENC-derived strain measurements, particularly GLS and GLS-Dif, show promise in improving diagnostic accuracy for acute coronary syndrome in emergency settings, potentially aiding in better patient management.
In a study of 50 echocardiography reports, GPT-5 mini extracted 55 cardiovascular fields from free-text echocardiography reports with 92.5% exact-match agreement with expert annotation.