We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




New Method Devised for Detecting High-Risk Cardiovascular Disease

By MedImaging International staff writers
Posted on 09 Sep 2010
Print article
Researchers have for the first time developed a way to visualize coronary artery plaques susceptible to rupture using multicolor computed tomography (CT) imaging, a development that should lead to better and earlier diagnosis, and subsequently, treatment of cardiovascular disease.

Ruptures of atherosclerotic plaques are the cause of nearly 70% of heart attacks. High-density lipoproteins (HDL), the "good” cholesterol, are drawn to plaques vulnerable to rupture and remove them from the arterial wall. The scientists, from Mount Sinai School of Medicine (New York, NY, USA), harnessed HDL by encapsulating tiny gold particles within it and injected them into mice. By using an advanced multi-color CT scanner, the researchers were able to see the gold particles as the HDL was targeting macrophages, or the cells that cause inflammation in the arterial wall, therefore illuminating the location of the vulnerable plaques.

"The use of multi-color CT and gold nanoparticles to visualize plaque will revolutionize cardiac imaging,” said the research team leader, Zahi A. Fayad, Ph.D., professor of radiology and medicine and the director of the Translational and Molecular Imaging Institute at Mount Sinai School of Medicine. "The acquisition of this technology and development of this method will help us improve cardiovascular disease diagnosis in our patients, furthering our commitment to translational research. We look forward to continuing our study of this technology in the clinical setting.”

Traditional CT detectors provide a gray image of the artery being examined, and do not provide contrast to differentiate types and density of tissue. In addition to showing the impact of the gold particles, spectral CT can simultaneously differentiate calcium deposits and contrast agents used such as iodine, which is frequently used to identify stenoses, or the narrowing of arteries, informing the severity of atherosclerosis and heart attack risk. Mount Sinai is the first institution in the world to use this scanner, developed by Phillips Medical Systems (Best, The Netherlands), in a preclinical setting.

"There is a significant unmet need for imaging technology that visualizes plaque vulnerable to rupture,” said the lead author of the work, David Cormode, Ph.D., postdoctoral fellow, Translational and Molecular Imaging Institute, Mount Sinai School of Medicine. "The fact that the multicolor CT technique shows the gold particles, iodine and calcifications, provides us with a more complete picture of the nature of the atherosclerotic arteries.”

Multicolor CT technology may also be advantageous in imaging other biologic process and diseases, including cancer, kidney disease, and bowel diseases. The Mount Sinai team plans to continue assessing the new scanner in additional animal studies and in humans.

"Mount Sinai has a decades-long history of making advances in cardiac imaging that have had a significant impact on the field and in patient care,” said Valentin Fuster, M.D., Ph.D., director of Mount Sinai Heart, the Zena and Michael A. Wiener Cardiovascular Institute and the Marie-Josee and Henry R. Kravis Center for Cardiovascular Health, The Mount Sinai Medical Center. "As the first center in the world to pioneer this imaging method, we are leading the charge once more in improving diagnostic tools that lessen the potentially devastating impact of heart disease.”

The study's findings were published in the September 2010 issue of the journal Radiology.

Related Links:
Mount Sinai School of Medicine
Phillips Medical Systems

New
HF Stationary X-Ray Machine
TR20G
3T MRI Scanner
MAGNETOM Cima.X
New
X-Ray Illuminator
X-Ray Viewbox Illuminators
New
Ultrasound Needle Guide
Ultra-Pro 3

Print article

Channels

Ultrasound

view channel
Image: Ultrasound detection of vascular changes post-RT corresponds to shifts in the immune microenvironment (Photo courtesy of Theranostics, DOI:10.7150/thno.97759)

Ultrasound Imaging Non-Invasively Tracks Tumor Response to Radiation and Immunotherapy

While immunotherapy holds promise in the fight against triple-negative breast cancer, many patients fail to respond to current treatments. A major challenge has been predicting and monitoring how individual... Read more

Nuclear Medicine

view channel
Image: [18F]3F4AP in a human subject after mild incomplete spinal cord injury (Photo courtesy of The Journal of Nuclear Medicine, DOI:10.2967/jnumed.124.268242)

Novel PET Technique Visualizes Spinal Cord Injuries to Predict Recovery

Each year, around 18,000 individuals in the United States experience spinal cord injuries, leading to severe mobility loss that often results in a lifelong battle to regain independence and improve quality of life.... Read more

General/Advanced Imaging

view channel
Image: This image presents heatmaps highlighting the areas LILAC focuses on when making predictions (Photo courtesy of Dr. Heejong Kim/Weill Cornell Medicine)

AI System Detects Subtle Changes in Series of Medical Images Over Time

Traditional approaches for analyzing longitudinal image datasets typically require significant customization and extensive pre-processing. For instance, in studies of the brain, researchers often begin... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.