Rapid Detection for Personalized Risk Assessment in Suspected Coronary Artery Disease
MyoStress® is a rapid, and non-invasive stress test that quantifies how the heart responds to increased oxygen demand, helping clinicians detect myocardial ischemia and assess coronary artery disease (CAD) risk in 15 minutes, without pharmacologic stressors, contrast agents, or radiation exposure.
MyoStress® is a rapid, and non-invasive hyperventilation maneuver (HPV) stress test that quantifies how the heart responds to increased oxygen demand, helping clinicians detect myocardial ischemia and assess coronary artery disease (CAD) in 15 minutes, without pharmacologic stressors, contrast agents, or radiation exposure.
- Ischemic regions that fail to increase contraction during stress for guided individualized intervention.
- Viable, hibernating myocardium that recovers with medical therapy and interventions.
- Contractile reserve with improved MyoHealth® Score in non ischemic patients
Superior Speed
+ 15-minute exam time
+ Generates report immediately
+ Rapid information for treatment decision making
+ Highly efficient protocol
High Accuracy
+ High statistical accuracy: 96%
sensitivity and 88% specificity
+ Consistent results independent
of user or scanner type
+ Highly efficient protocol
Clinical Value
+ High negative and positive predictive value for ischemic CAD
+Helps physicians to reduce unnecessary catheterizations
+ Optimize workflow and improve clinical efficiencies to redude waste
Enhanced Patient Experience
+ Safe and non-invasive procedure
+ No pharmacological stressors
+ No contrast agents
+ No exposure to radiation
MyoStress® Protocol
Hyperventilation Stress Testing Protocol
Stehning C, Schnackenburg B, Kohler U, et al. A multi-vendor, multi-center study on reproducibility and comparability of fast strain-encoded cardiovascular magnetic resonance imaging.
The International Journal of Cardiovascular Imaging. 2020. PMID: 32056087. PMC: 7174273.
Fischer K, Guensch DP, Shie N, Lebel J, Friedrich MG (2016) Breathing Maneuvers as a Vasoactive Stimulus for Detecting Inducible Myocardial Ischemia – An Experimental Cardiovascular Magnetic Resonance Study.
PLoS ONE 11(10): e0164524. doi:10.1371/journal.pone.0164524.
First, Fast-SENC MRI images are acquired in standard cardiac planes
These provide the baseline myocardial strain maps and the initial MyoHealth® Score, representing the percentage of normally contracting myocardium.
The patient performs a controlled hyperventilation–breath-hold maneuver (approximately 60 seconds of hyperventilation followed by a short breath-hold) to create a mild, physiological increase in cardiac workload.
The same Fast-SENC image planes are then reacquired during this brief stress phase, ensuring direct, point-by-point correspondence with the baseline views.
Both image sets (rest and stress) are analyzed side-by-side on the MyoStrain® workstation.
Segmental strain values are compared in real time to assess Δstrain (% change).
A significant reduction in strain between rest and stress identifies ischemic or non-viable myocardial regions, providing a quantitative, contrast-free assessment of inducible ischemia.
January 11, 2024
Cardiac magnetic resonance (CMR) is the gold standard for the diagnostic classification and risk stratification in most patients with cardiac disorders. The aim of the present study was to investigate the ability of Strain-encoded MR (SENC) for the prediction of major adverse cardiovascular events (MACE).
January 1, 2024
This study investigated the use of layer-specific fast strain-encoded cardiac magnetic resonance imaging (fSENC) for diagnosing and prognosticating acute myocardial injury in emergency department patients.
This study investigated the use of layer-specific fast strain-encoded cardiac magnetic resonance imaging (fSENC) for diagnosing and prognosticating acute myocardial injury in emergency department patients. It found that global longitudinal strain (GLS) and GLSdifference (the difference between epicardial and endocardial GLS) were effective predictors, with GLS showing a high diagnostic accuracy (AUC 91.8%) for myocardial injury. GLSdifference performed well in identifying non-ST-elevation myocardial infarction (NSTEMI) specifically (AUC 83.2%), and combining these measures with assessment of dysfunctional segments improved diagnostic performance further (AUC 87.5%). Incorporating fSENC into standard care enhanced overall diagnostic accuracy significantly (AUC 95.5%) compared to conventional methods alone. The study suggests that layer-specific strain analysis could serve as a valuable diagnostic tool for acute myocardial injuries, offering insights into prognosis and potentially guiding clinical management.
November 16, 2023
Several studies show a low (1-3%) but real risk of myocarditis in competitive athletes after SARS-CoV-2 infection.
August 9, 2022
Siry, D. et al.
October, 2021
Ochs, M. et al.
November 17, 2021
Steen, H. et al.