With the results of a magnetic resonance imaging (MRI) study from the National Institutes of Health (NIH), researchers say they are closer to finding an imaging technique that can identify thickening of the coronary artery wall, an early stage of coronary heart disease (CAD). The study is published online in the journal Radiology.
"Imaging the coronary arteries that supply the heart with blood is extremely difficult because they are very small and constantly in motion," said lead researcher Khaled Z. Abd-Elmoniem, Ph.D., staff scientist in the Biomedical and Metabolic Imaging branch of NIH's National Institute of Diabetes and Digestive and Kidney Diseases. "Obtaining a reliable and accurate image of these vessels is very important because thickening of the vessel wall is an early indicator of atherosclerosis."
CAD occurs when deposits of fat and cholesterol called plaques build up inside coronary arteries (a condition called atherosclerosis), increasing the risk of a heart attack and other coronary events. By identifying the vessel wall thickening that precedes artery narrowing, early intervention is possible.
"We currently have no reliable way to noninvasively image coronary artery disease in its early stages, when the disease can be treated with lifestyle changes and medications to lower cholesterol," Dr. Abd-Elmoniem said.
The researchers used MRI to measure the wall thickness of the coronary arteries in 26 patients with at least one risk factor for CAD and 12 healthy control participants matched to patients by body mass index (BMI). The mean age of the patients, which included 13 men and 13 women, was 48; healthy controls included three men and nine women (mean age 26).
To measure the coronary artery wall thickness in each of the study's participants, the researchers used both a single-frame MRI scan and an MRI technique called time-resolved multi-frame acquisition, in which five continuous images are captured in order to increase the success rate of obtaining an image free of blurring.
Using the time-resolved multi-frame acquisition method, the success rate for obtaining a usable image was 90 percent versus a success rate of 76 percent for the single-frame method.