170 research outputs found

    Myocardial tissue characterization: histological and pathophysiological correlation

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    Cardiovascular magnetic resonance imaging (CMR) has become the gold standard not only for cardiac volume and function quantification, but for a key unique strength: non-invasive myocardial tissue characterization. Several different techniques, separately or in combination, can detect and quantify early and established myocardial pathological processes permitting better diagnosis, prognostication and tracking of therapy. The authors will focus on the histological and pathophysiological evidence of these imaging parameters in the characterization of edema, infarction, scar and fibrosis. In addition to laying out the strengths and weaknesses of each modality, the reader will be introduced to rapid developments in T1 and T2 mapping as well as the use of contrast-derived extracellular volume for quantification of diffuse fibrosis

    Myocardial Extracellular Volume Quantification by Cardiovascular Magnetic Resonance and Computed Tomography

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    PURPOSE OF REVIEW: This review article discusses the evolution of extracellular volume (ECV) quantification using both cardiovascular magnetic resonance (CMR) and computed tomography (CT). RECENT FINDINGS: Visualizing diffuse myocardial fibrosis is challenging and until recently, was restricted to the domain of the pathologist. CMR and CT both use extravascular, extracellular contrast agents, permitting ECV measurement. The evidence base around ECV quantification by CMR is growing rapidly and just starting in CT. In conditions with high ECV (amyloid, oedema and fibrosis), this technique is already being used clinically and as a surrogate endpoint. Non-invasive diffuse fibrosis quantification is also generating new biological insights into key cardiac diseases. CMR and CT can estimate ECV and in turn diffuse myocardial fibrosis, obviating the need for invasive endomyocardial biopsy. CT is an attractive alternative to CMR particularly in those individuals with contraindications to the latter. Further studies are needed, particularly in CT

    Multimodality Imaging Markers of Adverse Myocardial Remodeling in Aortic Stenosis

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    Aortic stenosis (AS) causes left ventricular remodeling (hypertrophy, remodeling, fibrosis) and other cardiac changes (left atrial dilatation, pulmonary artery and right ventricular changes). These changes, and whether they are reversible (reverse remodeling), are major determinants of timing and outcome from transcatheter or surgical aortic valve replacement. Cardiac changes in response to AS afterload can either be adaptive and reversible, or maladaptive and irreversible, when they may convey residual risk after intervention. Structural and hemodynamic assessment of AS therefore needs to evaluate more than the valve, and, in particular, the myocardial remodeling response. Imaging plays a key role in this. This review assesses how multimodality imaging evaluates AS myocardial hypertrophy and its components (cellular hypertrophy, fibrosis, microvascular changes, and additional features such as cardiac amyloid) both before and after intervention, and seeks to highlight how care and outcomes in AS could be improved

    Moderate Aortic Stenosis: What is it and When Should We Intervene?

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    Current guidelines recommend aortic valve replacement in patients with severe aortic stenosis in the presence of symptoms or a left ventricular ejection fraction <50%. However, patients with less than severe aortic stenosis may also experience symptoms and recent literature suggests that the prognosis is not as benign as previously reported. There are no recommendations for patients with moderate aortic stenosis and left ventricular dysfunction, despite the high associated morbidity and mortality. There is also some evidence that these patients may benefit from early aortic valve intervention. It is recognised that aortic stenosis not only affects the valve but also has a complex myocardial response. This review discusses the natural history of moderate aortic stenosis along with the role of multimodality imaging in risk stratification in these patients

    Myocardial Hypertrophy, Matrix Expansion, and Focal Scar: Progression and Regression in Aortic Stenosis

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    Cardiac amyloidosis in non-transplant cardiac surgery

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    Cardiac amyloidosis is a rare infiltrative cardiomyopathy that portends a poor prognosis. There is a growing recognition of co-existent aortic valve stenosis and transthyretin cardiac amyloidosis, with some studies suggesting that dual pathology may be associated increased risk of complication and mortality during surgical intervention. This review aims to evaluate the available literature on non-transplant cardiac surgical interventions in patients with cardiac amyloidosis, with particular focus on diagnosis, high surgical risk and areas of uncertainty that require further research

    Aortic Stenosis, a Left Ventricular Disease: Insights from Advanced Imaging

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    Aortic stenosis (AS) is the most common primary valve disorder in the elderly with an increasing prevalence. It is increasingly clear that it is also a disease of the left ventricle (LV) rather than purely the aortic valve. The transition from left ventricular hypertrophy to fibrosis results in the eventual adverse effects on systolic and diastolic function. Appropriate selection of patients for aortic valve intervention is crucial, and current guidelines recommend aortic valve replacement in severe AS with symptoms or in asymptomatic patients with left ventricular ejection fraction (LVEF) <50 %. LVEF is not a sensitive marker and there are other parameters used in multimodality imaging techniques, including longitudinal strain, exercise stress echo and cardiac MRI that may assist in detecting subclinical and subtle LV dysfunction. These findings offer potentially better ways to evaluate patients, time surgery, predict recovery and potentially offer targets for specific therapies. This article outlines the pathophysiology behind the LV response to aortic stenosis and the role of advanced multimodality imaging in describing it
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