EurValve Prospective
Research type
Research Study
Full title
EurValve: Personalised Decision Support for Heart Valve Disease - Prospective Study
IRAS ID
215377
Contact name
Norman Briffa
Contact email
Sponsor organisation
Sheffield Teaching Hospitals NHS Foundation Trust
Duration of Study in the UK
1 years, 11 months, 31 days
Research summary
Summary of Research
Research into the application of sophisticated mathematical simulation to complex clinical conditions has been active for at least 20 years, indeed the earliest studies of the electrical behaviour of the heart date back to the 1960s. It is now possible to explore the behaviour of many parts of the human body in exquisite detail, using 3D computer models customised from medical images to the anatomy and physiology of an individual patient, and to derive new ‘biomarkers’ - measures of health and disease - that cannot be obtained conventionally. To the extent that such biomarkers can be validated as representative of relevant physiological behaviour they can be used in addition to more conventional information to assist in patient diagnosis and treatment, and it is perhaps the cardiac system that has seen the greatest attention, with disease assessment and treatment in many centres increasingly including some aspect of simulated data.
The EurValve Prospective Study will compare computer predictions of the outcomes of heart valve replacement surgery with the actual results obtained in normal clinical practice.
Summary of Results
This study demonstrated that computer modelling can be used to predict how the circulation and the heart responds to treatment of patients with a critically narrowed aortic valve
REC name
London - Surrey Research Ethics Committee
REC reference
17/LO/0283
Date of REC Opinion
14 Feb 2017
REC opinion
Further Information Favourable Opinion