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Incidence, predictors, and outcomes associated with acute kidney injury in patients undergoing transcatheter aortic valve replacement: from the BRAVO-3 randomized trial Impaired Retinal Microvascular Function Predicts Long-Term Adverse Events in Patients with Cardiovascular Disease Diagnostic performance of noninvasive myocardial perfusion imaging using single-photon emission computed tomography, cardiac magnetic resonance, and positron emission tomography imaging for the detection of obstructive coronary artery disease: a meta-analysis Novel predictors of late lumen enlargement in distal reference segments after successful recanalization of coronary chronic total occlusion CT Angiographic and Plaque Predictors of Functionally Significant Coronary Disease and Outcome Using Machine Learning Increased Risk of Valvular Heart Disease in Systemic Sclerosis: An Underrecognized Cardiac Complication Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: The Apple Heart Study Aortic Valve Stenosis Treatment Disparities in the Underserved JACC Council Perspectives Lateral Wall Dysfunction Signals Onset of Progressive Heart Failure in Left Bundle Branch Block Usefulness of minimum stent cross sectional area as a predictor of angiographic restenosis after primary percutaneous coronary intervention in acute myocardial infarction (from the HORIZONS-AMI Trial IVUS substudy)

Review ArticleVolume 12, Issue 9, September 2019

JOURNAL:J Am Coll Cardiol. ACC Cardiovasc Imaging. Article Link

Why and How to Measure Aortic Valve Calcification in Patients With Aortic Stenosis

T Pawade, T Sheth, E Guzzetti, MR Dweck et al. Keywords: aortic stenosis;aortic valve calcification; computed tomography

ABSTRACT

The first-line evaluation of aortic stenosis severity is Doppler echocardiography. However, in up to 40% of patients, resting echocardiographic assessment of aortic stenosis severity is discordant, leading to clinical uncertainty. Interest has therefore grown in aortic valve calcium scoring by multidetector computed tomography (CT-AVC) as an alternative load independent assessment of aortic stenosis severity. This paper will briefly review the pathophysiology of aortic stenosis and the crucial role that calcification plays in driving progressive obstruction of the valve. Subsequently, it will describe published reports that have investigated CT-AVC, validating this parameter against histology, and establishing its diagnostic accuracy versus echocardiography as well as its powerful independent prognostic capability. Finally, this review seeks to provide a practical guide about how best to acquire and interpret CT-AVC with a close focus on potential pitfalls and how these might be best avoided as this technique becomes more widely adopted in to clinical practice.