Sökning: "Myocardium at risk"
Visar resultat 21 - 25 av 26 avhandlingar innehållade orden Myocardium at risk.
21. Assessment of myocardial viability using magnetic resonance imaging
Sammanfattning : Myocardial infarction (MI) following an acute coronary occlusion is a leading cause of morbidity and mortality. During revascularization, microemboli may complicate treatment and affect cardiac function. The long-term effects of microembolization are not fully elucidated. LÄS MER
22. Prenatal Tisse Velocity Imaging of the Heart : A new approach to assess fetal myocardial function
Sammanfattning : The general aim of this thesis has been to evaluate color‐coded tissue velocity imaging (TVI) as an approach to developing a new, non‐invasive assessment method for fetal myocardial function. Such a method could hypothetically give early indications of fetal pathology, as myocardial dysfunction is often the consequence when the circulation tries to adapt to deteriorating situations. LÄS MER
23. Porcine myocardial ischemia-reperfusion studies on cardioprotection, ventricular arrhythmia and electrophysiology
Sammanfattning : Background: Coronary artery disease is the primary cause of death in adults in the industrialised world and ventricular fibrillation associated with myocardial ischemia is the main cause of sudden cardiac death. Restoration of blood flow and preservation of myocardial integrity throughout ischemia and reperfusion is essential to improve clinical outcome. LÄS MER
24. Cardiac side-effects of adjuvant radiotherapy for early breast cancer
Sammanfattning : It is well established that adjuvant radiotherapy (RT) reduces loco-regional recurrences in breast cancer. The effect on overall survival on the other hand is much debated. LÄS MER
25. Patient stratification and treatment effects in diseases with disturbed cardiac function
Sammanfattning : Background: Cardiovascular disease characteristics are often measured using a combination of different measurement modalities. By combining information from these modalities using statistical modelling we can gain additional knowledge about these diseases. LÄS MER