New! Sign up for our free email newsletter.
Science News
from research organizations

Researchers develop, validate tool to visualize 3D architectural properties of atherosclerosis plaques

May lead to early diagnosis of progressive atherosclerotic disease

Date:
January 3, 2023
Source:
Boston University School of Medicine
Summary:
Researchers have developed and substantiated an advanced magnetic resonance imaging (MRI) tool to reveal new structural insights into atherothrombosis, a long-term arterial vessel wall disease characterized by the build-up of lipid-rich and inflamed plaques.
Share:
FULL STORY

Atherosclerosis is a long-term arterial vessel wall disease characterized by the build- up of lipid- rich and inflamed plaques. It often goes undetected, but highly inflamed plaques disrupt and form a blood clot attached to the vessel wall adjacent to the flowing blood. This acute event (atherothrombosis) can lead to heart attack or stroke.

Boston University investigators, working with researchers from Warren Alpert Medical School of Brown University and the Providence VA Medical Center, now have developed and substantiated an advanced magnetic resonance imaging (MRI) tool to reveal new structural insights into atherothrombosis.

Using an experimental model, they combined magnetic resonance imaging (MRI) and mathematical analysis to architecturally define features of fatty material that forms plaques in the arteries not visualized with conventional MRI or histology alone.

"This method uniquely detects regions of arteries at risk of rupture or atherothrombosis, thus increasing the accuracy of diagnosis and assessment of treatment outcomes in individuals with atherosclerotic disease," explained corresponding author James A. Hamilton, PhD,professor of physiology & biophysics at Boston University Chobanian & Avedisian School of Medicine.

As atherosclerosis progresses, damaged smooth muscle cells (SMC) become inflamed and disorganized. While current bio-imaging techniques focus mainly on plaque features adjacent to the flowing blood, they are unable to capture highly detailed deeper cellular elements and fibrous disorganization across the entire vessel.

In regions with normal vessel wall and low inflammation, researchers observed long-range coherence of SMC and collagen fiber orientation parallel to the vessel wall, whereas in highly inflamed regions, blood clots and underlying vessels were characterized by highly random properties with many short tracts that were perpendicular to the vessel wall.

According to the researchers, this research represents an important step forward by the Hamilton group, in a decade-long collaborative project that has designed MRI methods to identify high risk plaques that are being testing clinically.

Funding for this study was provided by NHLBI T32 HL007224 to ET and Boston University Nanomedicine pilot grant to JH.


Story Source:

Materials provided by Boston University School of Medicine. Note: Content may be edited for style and length.


Journal Reference:

  1. Erik N. Taylor, Nasi Huang, Sunni Lin, Farzad Mortazavi, Van J. Wedeen, Jamila H. Siamwala, Richard J. Gilbert, James A. Hamilton. Lipid and smooth muscle architectural pathology in the rabbit atherosclerotic vessel wall using Q-space cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance, 2022; 24 (1) DOI: 10.1186/s12968-022-00897-7

Cite This Page:

Boston University School of Medicine. "Researchers develop, validate tool to visualize 3D architectural properties of atherosclerosis plaques." ScienceDaily. ScienceDaily, 3 January 2023. <www.sciencedaily.com/releases/2023/01/230103133757.htm>.
Boston University School of Medicine. (2023, January 3). Researchers develop, validate tool to visualize 3D architectural properties of atherosclerosis plaques. ScienceDaily. Retrieved December 25, 2024 from www.sciencedaily.com/releases/2023/01/230103133757.htm
Boston University School of Medicine. "Researchers develop, validate tool to visualize 3D architectural properties of atherosclerosis plaques." ScienceDaily. www.sciencedaily.com/releases/2023/01/230103133757.htm (accessed December 25, 2024).

Explore More

from ScienceDaily

RELATED STORIES