Cardiovascular phenotype-genotype analysis within a CT based lung cancer screening trial

Developing machine learning methods to measure existing and novel imaging biomarkers related to cardiovascular disease in chest CT








About project

Calcifications in the aortic wall, heart valves and coronary arteries are strong and independent predictors of cardiovascular disease (CVD) including myocardial infarction (MI), sudden cardiac death, and stroke. The Dutch lung cancer screening (NELSON) trial offers a possibility to investigate the presence and risk of CVD in an asymptomatic high-risk population. In this project, we are developing automatic algorithms to measure existing and novel imaging biomarkers related to CVD in CT images from the NELSON trial. These biomarkers will enrich the phenotype information, enabling genetic studies and focusing on the identification of genes related to CVD risk. Finally, the combined information from imaging and genetics offers the possibility to investigate whether imaging markers and genetic analysis provide equivalent or complementary evidence with respect to CVD risk stratification. The project is part of the ImaGene program performed at the Image Sciences Institute, UMC Utrecht, funded by Dutch Technology Foundation.


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