Record Details

Multimethod Comparison Dataset of Mitral Regurgitation Quantification by Cardiac Magnetic Resonance Imaging

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

View Archive Info
 
 
Field Value
 
Title Multimethod Comparison Dataset of Mitral Regurgitation Quantification by Cardiac Magnetic Resonance Imaging
 
Identifier https://doi.org/10.7910/DVN/XWL3ZV
 
Creator Grafton-Clarke, Ciaran
Garg, Pankaj
 
Publisher Harvard Dataverse
 
Description Mitral regurgitation is the second most common form of valvular heart disease.1 The strategy of management in patients with MR is largely guided by the severity of disease. Thus, accurately quantifying the severity of mitral regurgitation and differentiating between non-severe and severe mitral regurgitation is critical in the evaluation of patients with mitral regurgitation.

This dataset relates to a multi-centre prospective cohort study of 35 patients with a diagnosis of mitral regurgitation, as confirmed non-invasively using echocardiography.6 Adult patients with MR due to a primary cause (degenerative valvular disease) or secondary to a primary myocardial disease were included, alongside patients with MR following mitral valve repair or replacement.

The primary research study comprehensively appraising the agreement and reproducibility of the four different CMR methods of quantifying MR has been published.
 
Subject Medicine, Health and Life Sciences
4D flow CMR, haemodynamics, flow quantification, reproducibility analysis, mitral regurgitation
 
Contributor Grafton-Clarke, Ciaran