Plaque View: Plaque Characterization Analysis
We have developed MRI and Ultrasound plaque characterization software tools for users to efficiently interpret the atherosclerosis studies.
MRI-PlaqueViewTM has been FDA cleared for clinical management of carotid atherosclerosis, while also being used in research of atherosclerosis in aorta, peripheral, and other arteries. The software uses patented algorithms to characterize and measure plaque morphology, plaque burden, plaque composition and components.
MRI-PlaqueView guides the user through a sequence of intuitive and optimized characterization steps. Within minutes, all vessel walls are identified, multiple contrast weightings are aligned, internal plaque composition / components, such as soft or calcified plaques and intraplaque hemorrhage , are characterized, and measurements of plaque morphology, including thickness, area, distance, and stenosis are recorded.
3D visualizations portray the plaque morphology and composition not seen with MRI angiography, and the plaque visualizations are displayed in context with traditional MIP views of MRA data.
A report captures the key findings of plaque characterization in a concise format to be readily used by vascular surgeons, neurosurgeons, neurologists, interventionalists, or cardiologists for vascular disease management and research.
Order Information: MRI-PlaqueViewTM is available with four packages, ranging from Plaque Burden Analysis, Intraplaque Hemorrhage Analysis, Plaque Analysis, to Auto Plaque Analysis. It can be purchased on a per-use basis which requires less up-front payments, or with a product license without usage restrictions. For further information, please download MRI Plaque View brochure and Contact Us to arrange free consultation, demo and evaluation.
Atherosclerosis imaging and characterization using MRI-Plaque View can be readily conducted on the following vendors’ MRI scanners:
- GE MR : HDxt , Discovery MR750 – Application Technical Details;
- Philips MR : Achieva – Application Technical Details ;
MRI-PlaqueView has been reviewed in Technical Brief: Vulnerable Atherosclerotic Plaque issued by AHRQ of U.S. Department of Health and Human Services (HHS).
VPDiagnostics is also leading an NIH-sponsored 14-center carotid atherosclerosis prospective trial to evaluate MRI-PlaqueView in stratifying the future risk of stroke. This trial has been reviewed in Arteriosclerosis Global Clinical Trials Review, Q4, 2010 by MarketResearch.com.
History and Validations
MRI-PlaqueViewTM is the commercial outgrowth of CASCADE (including MEPPS/QVAS), the atherosclerotic plaque characterization package developed at the University of Washington Vascular Imaging Lab. These patented plaque characterization algorithms have been featured in around 50 journal publications, providing extensive validation of the accuracy, reproducibility and sensitivity of the core algorithms related to MRI plaque characterization. Selected publications are listed below:
1. Studies Supported by VPDiagnostics:
Automated in vivo segmentation of carotid plaque MRI with Morphology-Enhanced probability maps. (Liu, Magn Reson Med. 2006)
Automated measurement of mean wall thickness in the common carotid artery by MRI: a comparison to intima-media thickness by B-mode ultrasound. (Underhill, J Magn Reson Imaging. 2006)
Magnetic resonance imaging of carotid atherosclerosis: plaque analysis. (Kerwin, Top Magn Reson Imaging. 2007)
Signal features of the atherosclerotic plaque at 3.0 Tesla versus 1.5 Tesla: impact on automatic classification. (Kerwin,J Magn Reson Imaging. 2008) PDF
2. Studies Involving Technology Contained in MRI-PlaqueViewTM
Carotid plaque morphology and composition: initial comparison between 1.5- and 3.0-T magnetic field strengths. (Underhill, Radiology. 2008) PDF
Quantitative evaluation of carotid plaque composition by in vivo MRI. (Saam, ATVB 2005) PDF
In vivo quantitative measurement of intact fibrous cap and lipid-rich necrotic core size in atherosclerotic carotid plaque: comparison of high-resolution, contrast-enhanced magnetic resonance imaging and histology. (Cai, Circulation 2005) PDF