Predicting Disease Progression and Mortality in Aortic Stenosis: A Systematic Review of Imaging Biomarkers and Meta-Analysis

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Predicting Disease Progression and Mortality in Aortic Stenosis: A Systematic Review of Imaging Biomarkers and Meta-Analysis

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wetenschappelijk artikel

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наукова стаття, опублікована у 2018

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Predicting Disease Progression ...... g Biomarkers and Meta-Analysis

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Predicting Disease Progression ...... g Biomarkers and Meta-Analysis

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Predicting Disease Progression ...... g Biomarkers and Meta-Analysis

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Predicting Disease Progression ...... g Biomarkers and Meta-Analysis

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Predicting Disease Progression ...... g Biomarkers and Meta-Analysis

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Predicting Disease Progression ...... g Biomarkers and Meta-Analysis

@nl

P1476

Predicting Disease Progression ...... g Biomarkers and Meta-Analysis

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P2093

Alain Nchimi

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Cécile Oury

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John E Dibato

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Laurent Davin

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Laurent Schoysman

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Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement

MicroRNAs in Valvular Heart Diseases: Potential Role as Markers and Actors of Valvular and Cardiac Remodeling

Risk Stratification in Patients With Aortic Stenosis Using Novel Imaging Approaches

The Cochrane Collaboration's tool for assessing risk of bias in randomised trials

Adenosine stress native T1 mapping in severe aortic stenosis: evidence for a role of the intravascular compartment on myocardial T1 values

Characterization of myocardial T1-mapping bias caused by intramyocardial fat in inversion recovery and saturation recovery techniques.

A clinical risk score of myocardial fibrosis predicts adverse outcomes in aortic stenosis

Myocardial strain and symptom severity in severe aortic stenosis: insights from cardiovascular magnetic resonance.

High-sensitivity troponin I concentrations are a marker of an advanced hypertrophic response and adverse outcomes in patients with aortic stenosis

Assessment of myocardial fibrosis with cardiovascular magnetic resonance.

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112

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scholarly article

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10.3389/FCVM.2018.00112

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English

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Patrizio Lancellotti

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2018-01-01T00:00:00Z

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30186838

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6113371

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