D. Geoffrey Vince, Ph.D.

Department Chair
The Virginia Lois Kennedy Endowed Chair in Biomedical Engineering and Applied Therapeutics

Lerner Research Institute
9500 Euclid Avenue
Cleveland, Ohio 44195
Location:ND2-07
vinceg@ccf.org
Phone: (216) 445-6980
Fax: (216) 445-6083



Stroke is a major cause of morbidity and mortality among patients with cardiovascular disease and the major cause of long-term disability in the United States. Current imaging modalities are primarily used to determine the severity of luminal stenosis resulting from carotid plaque. However, cerebrovascular accidents (CVA) are often associated with the rupture of plaques from regions with non-significant luminal stenosis. This results in up to 50% of high-risk atherosclerotic plaques going undetected and thus untreated. Accurate identification of these high-risk, rupture-prone plaques may potentially prevent CVA in a significant number of patients. Plaque composition is an additional and perhaps, more important risk factor for CVA rather than stenosis severity alone. Both expert review and pixel-based analysis of duplex ultrasound images have initially shown the potential to improve risk stratification, however in clinical implementation these ultrasound image based approaches are unreliable since they depend on gain level, signal compression, TGC settings, and monitor brightness. Non-contrast CT and CT angiography (CTA) are capable of quantifying calcium burden, plaque ulceration, and presence of lipid in the plaque, however CT approaches are limited for further composition determination and use ionizing radiation. Magnetic resonance angiography (MRA) and intravascular ultrasound (IVUS) with VH-IVUS technology can be used for assessment of plaque composition. However, these are not viable options for standard clinical diagnosis since MRA technology for quantification of plaque remains technically difficult and may not be cost effective for large scale implementation, and IVUS is invasive. There is a clear unmet clinical need for a non-invasive, low cost method to accurately characterize the composition of carotid plaques.

Dr. Vince’s team is developing mathematical algorithms based upon quantitative ultrasound and acoustic radiation force impulse imaging that can do more to analyze ultrasound images of carotid arteries. The new system creates a spectrum where different colors indicate where and how bad the plaque build-up is by using information from scattered ultrasound points that is obtained but not considered during the creation of standard ultrasound images. The team’s goal is to provide a tool that will predict which patients are at increased risk of having a stroke and will aid the physician in determining the best treatment approach.

In other words ...

Each year about 800,000 Americans experience a new or recurrent stroke, or “brain attack.”  Many strokes are caused by a blockage in the arteries carrying blood to the brain; if oxygen carried by blood cannot get to the brain, the result is brain damage and often other physical harm.  Carotid stenosis – a blockage caused by plaque build-up in the carotid arteries on either side of the neck – is a significant but treatable risk factor for stroke.  In the US, physicians perform more than 100,000 active procedures each year to clear such blockages.  However, it is estimated that another 2%-8% of the US population have some carotid stenosis, but do not show the usual symptoms (including high blood pressure, lightheadedness, etc.), making it unclear whether to treat them urgently or not.    Dr. Vince’s team is developing computer software that can do more to analyze ultrasound images of carotid arteries.  The new system creates a spectrum where different colors indicate how, where, and how bad the plaque build-up is by using information from scattered ultrasound points that is obtained but not considered during the creation of standard ultrasound images.  The team’s goal is to provide a tool that will predict which patients are at increased risk of having a stroke and will aid the physician in determining the best treatment approach.


Caroline (Charlie)  Androjna D.Eng.
Caroline (Charlie) Androjna D.Eng.
Research Associate

Location:ND2-58
Phone:(216) 444-5912
androjc2@ccf.org
Fax:(216) 444-9198
laboratory

Manoj  Banjara Ph.D.
Manoj Banjara Ph.D.
Postdoctoral Research Fellow

Location:NB2-137
Phone:(216) 445-0563
banjarm@ccf.org
Fax:(216) 444-9198
laboratory

Michael  Deblock Ph.D.
Michael Deblock Ph.D.
Postdoctoral Fellow

Location:NB2-137
Phone:(216) 445-5991
deblocm@ccf.org
Fax:(216) 444-9198
laboratory

Russell  Fedewa Ph.D.
Russell Fedewa Ph.D.
Project Staff

Location:ND3-57
Phone:(216) 445-3243
fedewar@ccf.org
Fax:(216) 444-9198
laboratory

Chaitali  Ghosh Ph.D.
Chaitali Ghosh Ph.D.
Project Staff

Location:NB2-137
Phone:(216) 445-0559
ghoshc@ccf.org
Fax:(216) 444-9198
laboratory

Mohammed  Hossain
Mohammed Hossain
Senior Research Technologist

Location:NB2-137
Phone:(216) 445-0562
hossaim@ccf.org
Fax:(216) 444-9198
laboratory

Sheronica  James D. Eng
Sheronica James D. Eng
Senior Research Engineer

Location:ND2-95C
Phone:(216) 444-8083
jamess4@ccf.org
Fax:(216) 444-9198
laboratory

Gail  Lannum MT
Gail Lannum MT
Department Administrator

Location:ND2-08
Phone:(216) 444-1254
lannumg@ccf.org
Fax:(216) 445-6083
laboratory

Tammy  Owings D.Eng.
Tammy Owings D.Eng.
Project Staff

Location:ND1-09
Phone:(216) 445-9422
owingst@ccf.org
Fax:(216) 444-9198
laboratory


Serruys PW, García-García HM, Buszman P, Erne P, Verheye S, Aschermann M, Duckers H, Bleie O, Dudek D, Bøtker HE, von Birgelen C, D'Amico D, Hutchinson T, Zambanini A, Mastik F, van Es GA, van der Steen AF, Vince DG, Ganz P, Hamm CW, Wijns W, Zalewski A; Integrated Biomarker and Imaging Study-2 Investigators. Effects of the direct lipoprotein-associated phospholipase A(2) inhibitor darapladib on human coronary atherosclerotic plaque, Circulation, 118(11); 1172-82. 2008

Chandrana C, Kharin N, Vince DG, Roy S; Fleischman A; Demonstration of Second Harmonic IVUS feasibility with Focused Broadband Miniature Transducers. IEEE UFFC, 2010.

García-García HM, Mintz GS, Lerman A, Vince DG, Margolis MP, van Es GA, Morel MA, Nair A, Virmani R, Burke AP, Stone GW, Serruys PW. Tissue characterisation using intravascular radiofrequency data analysis: recommendations for acquisition, analysis, interpretation and reporting. EuroIntervention, 2009 Jun;5(2):177-89.


US Patent Patent Title Issue Date First-Named Inventor
8630492 System and Method for Identifying a Vascular Border 1/14/2014 D. Geoffrey Vince Ph.D.
8622910 System and Method of Acquiring Blood-Vessel Data 1/7/2014 D. Geoffrey Vince Ph.D.
6,200,268 Vascular Plaque Characterization 3/13/2001 D. Geoffrey Vince Ph.D.