Improving risk stratification in HCM through a computational anatomical analysis of ventricular remodelling
Dr Pablo Lamata and his team at King’s College London are searching for new ways to help doctors predict the risk of complications in the inherited heart condition, hypertrophic cardiomyopathy (HCM). In HCM the heart muscle in the left ventricle thickens. Although measurements of the thickness of the left ventricle can be used to estimate the severity of HCM, these measurements are not sufficiently detailed to show the rich anatomical detail of the heart, and cannot tell us about how the heart might be functioning. In this project, Dr Lamata will use new computer based methods to extract information from cardiac magnetic resonance scans. He will use this information to build computer 3D images of the heart. The team will then create a large collection of virtual hearts with data from thousands of patients with HCM, and will measure the difference in their anatomy in great detail. He wants to identify ‘biomarkers’ that flag heart anatomy changes that identify those people at higher risk of sudden cardiac death, death from heart failure or who will need a heart transplant. This new technique will help cardiologists detect subtle heart anatomical changes in people with different types of heart disease. This will help doctors monitor disease progression and how patients are responding to treatments.
Project details
| Grant amount | £326,299 |
|---|---|
| Grant type | Project Grants |
| Application type | Project Grant |
| Start Date | 03 August 2017 |
| Duration | 3 years |
| Reference | PG/16/75/32383 |
| Status | In Progress |
