Transcutaneous ARFI Ultrasound for Differentiating Carotid Plaque With High Stroke Risk
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Although stroke remains a leading cause of death in the United States, incidence and mortality rates have declined over the past two decades in association with advanced pharmaceutical therapies and revascularization, primarily by carotid endarterectomy (CEA). While CEA's efficacy for preventing stroke in patients with severe (≥70%) carotid artery stenosis and neurological symptoms is well documented, the surgical intervention's usefulness decreases as stroke risk falls in patients with less severe stenosis and patients without symptoms. It is estimated that as many as 13 out of 14 symptomatic patients with 50-69% stenosis and 21 out of 22 asymptomatic patients with 70-99% stenosis undergo CEA surgery unnecessarily. These data demonstrate the inadequacy of degree of stenosis as the primary indication of stroke risk and underscore the urgent yet unmet need for improved biomarkers that differentiate patients at low risk of embolic stroke from those in need of CEA to prevent it.
This urgent need for improving CEA indication could be met by assessing the structure and composition of carotid plaques. Plaques composed of thin or ruptured fibrous caps (TRFC), large lipid rich necrotic cores (LRNC), and intraplaque hemorrhage (IPH) are associated with thrombosis in morphological studies from autopsy. Further, plaque hemorrhage and increased intraplaque vessel formation in CEA specimens are independently related to future cardio- and cerebrovascular events or interventions. Finally, previous stroke or transient ischemic attack (TIA) is associated with TRFC and IPH - while increased risk of future stroke or TIA is conferred by TRFC, LRNC, and IPH - in human carotid plaques as determined by in vivo magnetic resonance imaging (MRI).
The goal of this work is to develop a low-cost, noninvasive imaging method that reliably delineates carotid plaque structure and composition and is suitable for widespread diagnostic application. Previous research has demonstrated that Acoustic Radiation Force Impulse (ARFI) ultrasound delineates LRNC/IPH, collagen/calcium deposits, and TRFC in human carotid plaque, in vivo, with TRFC thickness measurement as low as 0.49 mm - the mean thickness associated with rupture. This project will exploit ARFI Variance of Acceleration (VoA) imaging, higher center frequencies, and harmonic imaging to newly enable separate discrimination of TRFC, LRNC, and IPH and accurate feature size measurement. The investigators will determine the association between advanced ARFI's plaque characterization and recent history of ipsilateral stroke or TIA.
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Melrose Fisher, RN
- Phone Number: 919-819-9054
- Email: mwfisher54@gmail.com
Study Contact Backup
- Name: Caterina Gallippi, PhD
- Phone Number: 919-843-6647
- Email: cmgallip@email.unc.edu
Study Locations
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-
North Carolina
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Chapel Hill, North Carolina, United States, 27599
- The University of North Carolina at Chapel Hill Hospitals
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- aged 18 years or older
- having 50-99% stenotic symptomatic carotid plaque with clinical indication for endarterectomy
- having 50-69% stenotic asymptomatic carotid plaque without clinical indication for endarterectomy
Exclusion Criteria:
- prior CEA or carotid stenting
- carotid occlusion
- vasculitis
- malignancy
- inability to provide informed consent
- prior radiation therapy to the neck
- treatment with immunomodulating drugs
- oncological disease.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Symptomatic with 50-69% stenosis
Patients 18 years of age or older who have been selected by their treating physician to be in need of carotid revascularization by CEA, with 50-69% stenotic carotid plaque with associated neurological symptoms.
Acoustic Radiation Force Impulse (ARFI) ultrasound imaging will be performed on the carotid plaque.
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ARFI imaging is an ultrasound-based, noninvasive imaging method and will be used in accordance with approved labeling.
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Experimental: Symptomatic with 70-99% stenosis
Patients 18 years of age or older who have been selected by their treating physician to be in need of carotid revascularization by CEA, with 70-99% stenotic carotid plaque with associated neurological symptoms.
ARFI ultrasound imaging will be performed on the carotid plaque.
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ARFI imaging is an ultrasound-based, noninvasive imaging method and will be used in accordance with approved labeling.
|
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Experimental: Asymptomatic with 70-99% stenosis
Patients 18 years of age or older who have been selected by their treating physician to be in need of carotid revascularization by CEA, with 70-99% stenotic carotid plaque without associated neurological symptoms.
ARFI ultrasound imaging will be performed on the carotid plaque.
|
ARFI imaging is an ultrasound-based, noninvasive imaging method and will be used in accordance with approved labeling.
|
|
Experimental: Asymptomatic with 50-69% stenosis
Patients 18 years of age or older who have been diagnosed with 50-69% carotid artery stenosis without clinical indication for CEA.
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ARFI imaging is an ultrasound-based, noninvasive imaging method and will be used in accordance with approved labeling.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Acoustic Radiation Force Impulse (ARFI) imaging
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
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Ability of ARFI imaging to detect carotid plaque features and measure their size
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
VoA AUC for thin or ruptured fibrous caps (TRFC) at 8 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
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Area Under the Curve (AUC) for the ability of ARFI Variance of Acceleration (VoA) obtained at 8 MHz fundamental frequency to detect thin or ruptured fibrous cap
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD AUC for TRFC at 8 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
AUC for the ability of ARFI PD obtained at 8 MHz fundamental frequency to detect thin or ruptured fibrous cap
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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VoA AUC for TRFC at 12 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
AUC for the ability of ARFI VoA obtained at 12 MHz fundamental frequency to detect thin or ruptured fibrous cap
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD AUC for TRFC at 12 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
AUC for the ability of ARFI PD obtained at 12 MHz fundamental frequency to detect thin or ruptured fibrous cap
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
|
VoA AUC for TRFC at 12 MHz harmonic
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
AUC for the ability of ARFI VoA obtained at 12 MHz harmonic frequency to detect thin or ruptured fibrous cap
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD AUC for TRFC at 12 MHz harmonic
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
AUC for the ability of ARFI PD obtained at 12 MHz harmonic frequency to detect thin or ruptured fibrous cap
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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VoA AUC for LRNC at 8 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
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AUC for the ability of ARFI VoA obtained at 8 MHz fundamental frequency to detect lipid rich necrotic core (LRNC)
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
|
PD AUC for LRNC at 8 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
AUC for the ability of ARFI PD obtained at 8 MHz fundamental frequency to detect lipid rich necrotic core
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
|
VoA AUC for LRNC at 12 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
AUC for the ability of ARFI VoA obtained at 12 MHz fundamental frequency to detect lipid rich necrotic core
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
|
PD AUC for LRNC at 12 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
AUC for the ability of ARFI PD obtained at 12 MHz fundamental frequency to detect lipid rich necrotic core
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
|
VoA AUC for LRNC at 12 MHz harmonic
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
AUC for the ability of ARFI VoA obtained at 12 MHz harmonic frequency to detect lipid rich necrotic core
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
|
PD AUC for LRNC at 12 MHz harmonic
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
AUC for the ability of ARFI PD obtained at 12 MHz harmonic frequency to detect lipid rich necrotic core
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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VoA AUC for IPH at 8 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
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AUC for the ability of ARFI VoA obtained at 8 MHz fundamental frequency to detect intraplaque hemorrhage
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD AUC for IPH at 8 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
AUC for the ability of ARFI PD obtained at 8 MHz fundamental frequency to detect intraplaque hemorrhage
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
|
VoA AUC for IPH at 12 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
AUC for the ability of ARFI VoA obtained at 12 MHz fundamental frequency to detect intraplaque hemorrhage
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD AUC for IPH at 12 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
AUC for the ability of ARFI PD obtained at 12 MHz fundamental frequency to detect intraplaque hemorrhage
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
|
VoA AUC for IPH at 12 MHz harmonic
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
AUC for the ability of ARFI VoA obtained at 12 MHz harmonic frequency to detect intraplaque hemorrhage
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD AUC for IPH at 12 MHz harmonic
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
AUC for the ability of ARFI PD obtained at 12 MHz harmonic frequency to detect intraplaque hemorrhage
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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VoA bias for TRFC thickness at 8 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
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Bland Altman-derived bias in VoA-based TRFC thickness measurement 8 MHz fundamental frequency
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD bias for TRFC thickness at 8 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
Bland Altman-derived bias in PD-based TRFC thickness measurement 8 MHz fundamental frequency
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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VoA bias for TRFC thickness at 12 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
Bland Altman-derived bias in VoA-based TRFC thickness measurement at 12 MHz fundamental frequency
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD bias for TRFC thickness at 12 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
Bland Altman-derived bias in PD-based TRFC thickness measurement at 12 MHz fundamental frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
|
VoA bias for TRFC thickness at 12 MHz harmonic
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
Bland Altman-derived bias in VoA-based TRFC thickness measurement at 12 MHz harmonic frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD bias for TRFC thickness at 12 MHz harmonic
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
Bland Altman-derived bias in PD-based TRFC thickness measurement at 12 MHz harmonic frequency
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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VoA bias for LRNC size at 8 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
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Bland Altman-derived bias in VoA-based LRNC size measurement at 8 MHz fundamental frequency
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD bias for LRNC size at 8 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
Bland Altman-derived bias in PD-based LRNC size measurement at 8 MHz fundamental frequency
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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VoA bias for LRNC size at 12 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
Bland Altman-derived bias in VoA-based LRNC size measurement at 12 MHz fundamental frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD bias for LRNC size at 12 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
Bland Altman-derived bias in PD-based LRNC size measurement at 12 MHz fundamental frequency
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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VoA bias for LRNC size at 12 MHz harmonic
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
Bland Altman-derived bias in VoA-based LRNC size measurement at 12 MHz harmonic frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD bias for LRNC size at 12 MHz harmonic
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
Bland Altman-derived bias in PD-based LRNC size measurement at 12 MHz harmonic frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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VoA bias for IPH size at 8 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
Bland Altman-derived bias in VoA-based IPH size measurement at 8 MHz fundamental frequency
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD bias for IPH size at 8 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
Bland Altman-derived bias in PD-based IPH size measurement at 8 MHz fundamental frequency
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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VoA bias for IPH size at 12 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
Bland Altman-derived bias in VoA-based IPH size measurement at 12 MHz fundamental frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD bias for IPH size at 12 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
Bland Altman-derived bias in PD-based IPH size measurement at 12 MHz fundamental frequency
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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VoA bias for IPH size at 12 MHz harmonic
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
Bland Altman-derived bias in VoA-based IPH size measurement at 12 MHz harmonic frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD bias for IPH size at 12 MHz harmonic
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
Bland Altman-derived bias in PD-based IPH size measurement at 12 MHz harmonic frequency
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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VoA prevalence of TRFC detection at 8 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
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prevalence of reader-detected TRFC from VoA at 8 MHz fundamental frequency
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
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PD prevalence of TRFC detection at 8 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
prevalence of reader-detected TRFC from PD at 8 MHz fundamental frequency
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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VoA prevalence of TRFC detection at 12 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
prevalence of reader-detected TRFC from VoA at 12 MHz fundamental frequency
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD prevalence of TRFC detection at 12 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
prevalence of reader-detected TRFC from PD at 12 MHz fundamental frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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VoA prevalence of TRFC detection at 12 MHz harmonic
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
prevalence of reader-detected TRFC from VoA at 12 MHz harmonic frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD prevalence of TRFC detection at 12 MHz harmonic
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
prevalence of reader-detected TRFC from PD at 12 MHz harmonic frequency
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Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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VoA prevalence of LRNC detection at 8 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
prevalence of reader-detected LRNC from VoA at 8 MHz fundamental frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD prevalence of LRNC detection at 8 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
prevalence of reader-detected LRNC from PD at 8 MHz fundamental frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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VoA prevalence of LRNC detection at 12 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
prevalence of reader-detected LRNC from VoA at 12 MHz fundamental frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD prevalence of LRNC detection at 12 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
prevalence of reader-detected LRNC from PD at 12 MHz fundamental frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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VoA prevalence of LRNC detection at 12 MHz harmonic
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
prevalence of reader-detected LRNC from VoA at 12 MHz harmonic frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD prevalence of LRNC detection at 12 MHz harmonic
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
prevalence of reader-detected LRNC from PD at 12 MHz harmonic frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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VoA prevalence of IPH detection at 8 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
prevalence of reader-detected IPH from VoA at 8 MHz fundamental frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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PD prevalence of IPH detection at 8 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
prevalence of reader-detected IPH from PD at 8 MHz fundamental frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
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VoA prevalence of IPH detection at 12 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
prevalence of reader-detected IPH from VoA at 12 MHz fundamental frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
|
PD prevalence of IPH detection at 12 MHz fundamental
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
prevalence of reader-detected IPH from PD at 12 MHz fundamental frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
|
VoA prevalence of IPH detection at 12 MHz harmonic
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
prevalence of reader-detected IPH from VoA at 12 MHz harmonic frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
|
PD prevalence of IPH detection at 12 MHz harmonic
Time Frame: Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
prevalence of reader-detected IPH from PD at 12 MHz harmonic frequency
|
Upon completion of the development of all novel ARFI data processing algorithms, their application to all acquired ARFI data, and the interpretation of the results for all participants, an average of two years
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Caterina Gallippi, PhD, UNC Chapel Hill
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 17-2700
- R01HL092944-06A1 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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