First-in-human imaging study shows improved heart attack prediction

First-in-human imaging study shows improved heart attack prediction
Figure A shows blood flow through a normal artery. Figure B shows an artery with plaque buildup. Credit: NHLBI

Doctors need better ways to detect and monitor heart disease, the leading cause of death in industrialized countries. A team led by Massachusetts General Hospital researchers with support from the National Institute of Biomedical Imaging and Bioengineering (NIBIB) has developed an improved optical imaging technique that found differences between potentially life-threatening coronary plaques and those posing less imminent danger for patients with coronary artery disease. Their method may give cardiologists additional data to identify patients at higher risk of future heart attacks and help them improve medical therapy.

Coronary artery disease is the most common type of heart disease in the United States. It is caused by deposits of atherosclerotic plaques within coronary that supply blood to the heart muscle. Atherosclerotic plaques are accumulated, lipid-rich (fatty) material and calcifications in the vessel wall, and cause the inside of the arteries to stiffen and become restricted over time.

The most common symptom of coronary artery disease is angina, which causes chest pain or discomfort during physical exertion because the plaques restrict blood flow and oxygen supply to the heart muscle. Also called stable angina pectoris, this condition may weaken heart function over time, but does not usually cause a sudden heart attack. But when the fibrous cap covering a lipid filled atherosclerotic plaque ruptures and releases the plaque content into the vessel, a blood clot can result that blocks the coronary artery and causes a heart attack. This abrupt, life-threatening condition is called acute coronary syndrome. Cardiologists would like to be able distinguish stable coronary plaques from those prone to rupture.

"This research relies on the latest optical imaging techniques to systematically categorize plaques as indicators of coronary artery disease," said Behrouz Shabestari, Ph.D., director of the NIBIB program in Optical Imaging and Spectroscopy. "The technique could be a game changer for cardiologists and their patients, offering refined insight into coronary arterial atherosclerotic lesions with quantifiable imaging data."

First-in-human imaging study shows improved heart attack prediction
Optical imaging distinguished seven categories of coronary arteries, from left: normal, fibrous, fatty, calcified, thick cap, thin cap, ruptured cap. Credit: Otsuka, K. et al. J Am Coll Cardiol Img

The research team is led by Brett Bouma, Ph.D., professor of dermatology and health sciences and technology, Wellman Center for Photomedicine, Massachusetts General Hospital and Harvard Medical School, Boston. In a study published in the Aug. 8, 2019 issue of JACC: Cardiovascular Imaging, Bouma's team investigated the polarization properties of coronary in 30 patients with , searching for indications of plaque instability. They gathered data using intravascular polarimetry, a technique for assessing the polarization properties of cross-sections of vascular tissue.

The electric field of polarized light creates a wave signal along a single plane (such as vertical or horizontal). When it is directed at tissue, the is influenced by the microscopic structure and organization of the tissue. Tissues rich in collagen and smooth muscle cells split the beam of light into two rays that diverge into slightly different directions. The researchers could distinguish coronary plaque composition and stability based on the optical effect.

Participants in this study underwent cardiac catheterization including intravascular imaging with optical coherence tomography, to measure the polarization properties of the coronary artery wall. Intravascular imaging uses light in the near infrared range to acquire high-definition, cross-sectional images of the vessel wall. Twelve catheterizations were performed on patients who had been affected by acute coronary syndrome—the higher risk form of the disease, and another 18 on patients with symptoms of stable angina pectoris.

The 30 catheterizations provided multiple plaque images for each procedure, including 342 cross-sectional plaque images and 244 images from the fibrous caps of the atherosclerotic lesions responsible for high risk or stable symptoms. The high-resolution images enabled the researchers to classify coronary cross-sections into one of seven categories: normal, fibrous, fatty, calcified, thick cap, thin cap, or ruptured cap. Then, the team used the specialized instrument to determine the polarization properties of the coronary arterial wall.

"This is the first-in-human pilot study of intravascular polarimetry," Bouma said, noting that fibrous caps of plaques that are prone to rupture can now be reliably identified using the method. "Intravascular polarimetry may open new avenues for studying composition and detecting high-risk patients."

More information: Kenichiro Otsuka et al. Intravascular Polarimetry in Patients With Coronary Artery Disease, JACC: Cardiovascular Imaging (2019). DOI: 10.1016/j.jcmg.2019.06.015
Citation: First-in-human imaging study shows improved heart attack prediction (2019, November 22) retrieved 26 November 2022 from
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