Pilot Study of Ultrasonic Determined Carotid Plaque Composition

NCT ID: NCT01879397

Last Updated: 2020-07-14

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 150 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 2013-05-31
• Study Completion Date: 2020-02-27

Brief Summary

Pilot prospective two group observational study to create a model of the carotid plaque composition based on ultrasonic backscattered signals and select clinical data.

Detailed Description

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 can determine the severity of luminal stenosis resulting from plaque, as in the carotid arteries. However, cerebrovascular accidents (CVAs) are often associated with the rupture of unstable plaques located in regions with a non-significant degree of luminal stenosis. Thus up to 50% of high-risk atherosclerotic plaques may go undetected and untreated. Plaque composition is an additional and perhaps, more important risk factor for CVA rather than stenosis severity alone. Accurate identification of these high-risk, rupture-prone plaques may potentially prevent CVAs in a significant number of patients.

The data collected during this study (ultrasonic backscatter and histologically processed carotid plaque) will provide the basis for a novel algorithm to add plaque composition information to the plaque size and location information that is currently provided by standard ultrasound imaging. The input parameters for the algorithm are derived from two types of non-invasive ultrasound data: spectral parameters and acoustic radiation force impulse (ARFI) data. Spectral parameters are extracted from the frequency content of the backscattered diagnostic ultrasound signals. These are the same signals currently used for imaging, however, imaging relies solely on the strength of the signal to form the image and ignores the spectral information. Thus spectral analysis is an approach to use the information which is sensitive to the number and nature of the scatterers. In contrast ARFI techniques provide information on the stiffness of the tissue. ARFI is based on using a ultrasonic push pulse to slightly move the tissue (displacement on the order of microns) and an image of the relative displacements of the tissue (ARFI image) is created. The ARFI derived data and the spectral parameters will be combined with clinically available measures currently used for diagnosis of carotid stenosis to form the input parameters for the algorithm. In order to train and test the algorithm the plaque removed during surgery will be collected and the histology slides prepared from these plaques. This histology review provides the 'gold' standard for training and testing the algorithm. The majority of these matched sets (67%) will be used for training the algorithm. While the remainder (33%) will provide a test of the accuracy of the algorithm for these types of matched data. The sensitivity and specificity for each tissue type defined during the histology review will be reported.

Conditions

Atherosclerosis

Study Design

• Observational Model Type: COHORT
• Study Time Perspective: PROSPECTIVE

Study Groups

CEA Group

Subjects with atherosclerotic stenosis of the carotid artery and are scheduled for a clinically indicated Carotid Endarterectomy (CEA) procedure to remove the atherosclerotic plaque. Prior to CEA procedure, a research ultrasound exam will be performed. The plaque tissue removed during the CEA will be collected and processed into histological slides.

Research Ultrasound Exam

Intervention Type: DEVICE

Collection of backscattered ultrasound data during non-invasive ultrasound exam

• ARFI based images of the carotid artery and plaque
• Ultrasound signals received by the ultrasound imaging system are recorded. These signals are discarded during the image formation process for a standard duplex ultrasound exam.

Normal Group

Subjects who are not scheduled for a Carotid Endarterectomy (CEA) procedure and have had no prior carotid artery interventions. Subjects will have a Research Ultrasound Exam performed.

Research Ultrasound Exam

Intervention Type: DEVICE

Collection of backscattered ultrasound data during non-invasive ultrasound exam

• ARFI based images of the carotid artery and plaque
• Ultrasound signals received by the ultrasound imaging system are recorded. These signals are discarded during the image formation process for a standard duplex ultrasound exam.

Interventions

Research Ultrasound Exam

Collection of backscattered ultrasound data during non-invasive ultrasound exam

• ARFI based images of the carotid artery and plaque
• Ultrasound signals received by the ultrasound imaging system are recorded. These signals are discarded during the image formation process for a standard duplex ultrasound exam.

Intervention Type: DEVICE

Eligibility Criteria

Inclusion Criteria

• Age ≥40years
• Scheduled to undergo CEA for clinically significant carotid stenosis
• CEA is being performed for carotid stenosis of one or more of the following vessels: Internal Carotid Artery (ICA), distal end of the Common Carotid Artery (CCA), and/or CCA bulb.

• Age ≥40years

Exclusion Criteria

• Pregnancy
• Prior surgery or intervention involving the carotid artery
• Prior stent in the carotid artery
• Unable to provide informed consent
• CEA for carotid stenosis for proximal CCA only (ICA and distal CCA are not involved)
• CEA is scheduled for non-atherosclerotic vascular disease (e.g.,. fibromuscular dysplasia or systemic vasculitis)
• Unable to understand English language.

Normal Cohort:

• Pregnancy
• Prior surgery or intervention involving the carotid artery (including CEA)
• Prior stent in the carotid artery
• Unable to provide informed consent
• Unable to understand English language.

• Minimum Eligible Age: 40 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

Siemens Medical Solutions

INDUSTRY

Sponsor Role: collaborator

D. Geoffrey Vince

OTHER

Sponsor Role: lead

Responsible Party

D. Geoffrey Vince

Department Chair

Responsibility Role: SPONSOR_INVESTIGATOR

Principal Investigators

D. Geoffrey Vince, PhD

Role: PRINCIPAL_INVESTIGATOR

The Cleveland Clinic

Locations

Cleveland Clinic

Cleveland, Ohio, United States

Countries

United States

Other Identifiers

12-797

Identifier Type: -

Identifier Source: org_study_id