Scientists now have a better way to predict heart attacks

Doctors need better ways to detect and monitor heart disease, the leading cause of death in industrialized countries.

In a new study, researchers have developed an improved optical imaging technique that could see differences between life-threatening coronary plaques and those posing a 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.

The research was a team led by Massachusetts General Hospital.

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 arteries 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 to distinguish stable coronary plaques from those prone to rupture.

In the study, the team used the latest optical imaging techniques to systematically categorize plaques as indicators of coronary artery disease.

They examined the polarization properties of coronary atherosclerotic plaques in 30 patients with coronary artery disease, 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.

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 and may open new ways to study plaque composition and detecting high-risk patients.

The team says the technique could be a game changer for cardiologists and their patients, offering refined insight into coronary arterial atherosclerotic lesions with quantifiable imaging data.

The lead author of the study is Behrouz Shabestari, Ph.D., director of the NIBIB program in Optical Imaging and Spectroscopy.

The study is published in JACC: Cardiovascular Imaging.

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