Title The value of cardiovascular magnetic resonance for the prediction of left ventricular functional recovery after revascularisation /
Translation of Title Širdies magnetinio rezonanso tomografijos vertė, prognozuojant kairiojo skilvelio miokardo kontrakcijos atsistatymą po revaskuliarizacijos.
Authors Glaveckaitė, Sigita
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Pages 54
Keywords [eng] Cardiovascular magnetic resonance ; myocardial viability ; contractile reserve ; late gadolinium enhancement ; revascularisation
Abstract [eng] The main goal of this dissertation was to assess prospectively the value of two cardiovascular magnetic resonance methodises (the transmural extent of an late gadolinium enhancement and the contractile reserve during low dose dobutamine administration) as predictors of left ventricular segmental and global functional recovery in patients with left ventricular systolic dysfunction undergoing surgical or percutaneous revascularisation. Taking into account previous studies, revascularisation of the viable myocardium results in an improvement of patient’s symptoms and prognosis. This finding emphasized the need for and importance of noninvasive tests to quantify the amount of viable myocardium in patients with left ventricular dysfunction in order to define the optimal management strategy. On the basis of the research described in the dissertation, the diagnostic value of different cardiovascular magnetic resonance based viability prediction methods was assessed. The superiority of combined viability prediction model incorporating an late gadolinium enhancement and the contractile reserve during low dose dobutamine administration was confirmed. The optimal predictors of the significant improvement of left ventricular ejection fraction were found: the percentage of viable segments from all dysfunctional and revascularised segments in a patient and the absolute value of left ventricular ejection fraction measured during low dose dobutamine administration. On the basis of the research results, described in the dissertation, the optimal viability assessment algorithm was created.
Type Summaries of doctoral thesis
Language English
Publication date 2011