title: The revolution in risk assessment and disease detection made possible with non-invasive imaging: implications for population science.
abstract: The ability to quantify subclinical disease to assess cardiovascular disease is greatly enhanced by modern medical imaging techniques that incorporate concepts from biomedical engineering and computer science. These techniques' numerical results, known as quantitative phenotypes, can be used to help us better understand both health and disease states. In this report, we describe our efforts in using the latest imaging technologies to assess cardiovascular disease risk by quantifying subclinical disease of participants in the Jackson Heart Study. The CT and MRI exams of the Jackson Heart Study have collected detailed information from approximately 3,000 participants. Analyses of the images from these exams provide information on several measures including the amount of plaque in the coronary arteries and the ability of the heart to pump blood. These measures can then be added to the wealth of information on JHS participants to understand how these conditions, as well as how clinical events, such as heart attacks and heart failure, occur in African Americans.
authors.affiliation: Wake Forest University Health Sciences, 2000 West First Street, Suite 618; Winston-Salem, NC 27104, USA. jcarr@wakehealth.edu
authors.forename: J Jeffrey
authors.initials: JJ
authors.lastname: Carr
mesh_terms: D001741:Black or African American / Q000706:statistics & numerical data*; D001011:Aorta / Q000503:physiopathology; D015992:Body Mass Index; D002318:Cardiovascular Diseases / Q000175:diagnosis* / Q000453:epidemiology; D015331:Cohort Studies; D015897:Comorbidity; D003925:Diabetic Angiopathies / Q000453:epidemiology; D003952:Diagnostic Imaging; D006333:Heart Failure / Q000503:physiopathology; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods; D024821:Metabolic Syndrome / Q000453:epidemiology; D008922:Mississippi; D018570:Risk Assessment