R01HL159200
Project Grant
Overview
Grant Description
Multi-Center Implementation and Validation of Efficient Magnetic Resonance Imaging and Analysis of Atherosclerotic Disease of the Cervical Carotid - Abstract:
Numerous investigations over the past decades have yielded substantial innovations in MR methods for the characterization of extracranial carotid atherosclerosis. Images obtained with these innovations under ideal conditions have given clinicians rich information about disease in the arterial wall and the hope for tools critically needed for adequate management of this insidious disease.
Despite this, the great potential power of this technology has not made it into the routine clinical armamentarium. Indeed, because of the need for gadolinium-based contrast agents (GBCA), the long exam time (typically about 45 minutes to obtain the multiple contrasts in the 5 or 6 necessary sequences), and the steep learning curve required to interpret multi-contrast MRI, most practitioners still revert to the simplified metric of diameter stenosis in assessing risk.
After many collective years of investigations, the consortium of investigators collaborating on this proposal believes that the time is right to address these remaining limitations and ultimately shift the clinical paradigm.
Overarching Hypothesis: To achieve the great potential in the management of cervical carotid disease, a highly efficient and easily used MRI technique is required. Our hypothesis is that this can be accomplished using multi-parametric non-contrast MRI sequences coupled with the latest high signal to noise ratio (SNR) neck-shape-specific (NSS) RF coils and innovative machine learning (deep neural network) analysis methods.
Aim 1: We will install identical RF coils, MRI sequences, and protocols at each of our 5 participating centers as well as rigorously test the accuracy of measurements and reproducibility of image quality from all centers.
Aim 2: We will develop, train, and validate a user-friendly, deep learning neural network system for the quantitative analysis of several key components considered to be present in the vulnerable atherosclerotic plaque.
Aim 3: We will apply the analysis to a cohort of carotid disease subjects to establish the repeatability of the quantitative measures, as well as the accuracy of characterization in comparison to histopathology.
Although we will develop and test the image quality, reproducibility, and reliability in a network of highly skilled academic centers, we will design these methods to be applicable in the community hospital setting.
At the conclusion of this project, we propose to have an integrated solution that can be used in subsequent investigations such as: the effect of pharmacologic intervention in modifying the composition of the plaque; studying the evolution of features of the untreated atheromatous disease over time; and, eventually, investigating the metrics that are predictive of deleterious outcomes, and that can be used in improving intervention strategies in this population.
On successful completion, the RF coils and MRI sequences and analysis methods will be made available to other imaging centers in a manner that ultimately changes the paradigm of diagnosis and managing the treatment of cervical carotid atherosclerotic disease.
Numerous investigations over the past decades have yielded substantial innovations in MR methods for the characterization of extracranial carotid atherosclerosis. Images obtained with these innovations under ideal conditions have given clinicians rich information about disease in the arterial wall and the hope for tools critically needed for adequate management of this insidious disease.
Despite this, the great potential power of this technology has not made it into the routine clinical armamentarium. Indeed, because of the need for gadolinium-based contrast agents (GBCA), the long exam time (typically about 45 minutes to obtain the multiple contrasts in the 5 or 6 necessary sequences), and the steep learning curve required to interpret multi-contrast MRI, most practitioners still revert to the simplified metric of diameter stenosis in assessing risk.
After many collective years of investigations, the consortium of investigators collaborating on this proposal believes that the time is right to address these remaining limitations and ultimately shift the clinical paradigm.
Overarching Hypothesis: To achieve the great potential in the management of cervical carotid disease, a highly efficient and easily used MRI technique is required. Our hypothesis is that this can be accomplished using multi-parametric non-contrast MRI sequences coupled with the latest high signal to noise ratio (SNR) neck-shape-specific (NSS) RF coils and innovative machine learning (deep neural network) analysis methods.
Aim 1: We will install identical RF coils, MRI sequences, and protocols at each of our 5 participating centers as well as rigorously test the accuracy of measurements and reproducibility of image quality from all centers.
Aim 2: We will develop, train, and validate a user-friendly, deep learning neural network system for the quantitative analysis of several key components considered to be present in the vulnerable atherosclerotic plaque.
Aim 3: We will apply the analysis to a cohort of carotid disease subjects to establish the repeatability of the quantitative measures, as well as the accuracy of characterization in comparison to histopathology.
Although we will develop and test the image quality, reproducibility, and reliability in a network of highly skilled academic centers, we will design these methods to be applicable in the community hospital setting.
At the conclusion of this project, we propose to have an integrated solution that can be used in subsequent investigations such as: the effect of pharmacologic intervention in modifying the composition of the plaque; studying the evolution of features of the untreated atheromatous disease over time; and, eventually, investigating the metrics that are predictive of deleterious outcomes, and that can be used in improving intervention strategies in this population.
On successful completion, the RF coils and MRI sequences and analysis methods will be made available to other imaging centers in a manner that ultimately changes the paradigm of diagnosis and managing the treatment of cervical carotid atherosclerotic disease.
Awardee
Funding Goals
TO FOSTER HEART AND VASCULAR RESEARCH IN THE BASIC, TRANSLATIONAL, CLINICAL AND POPULATION SCIENCES, AND TO FOSTER TRAINING TO BUILD TALENTED YOUNG INVESTIGATORS IN THESE AREAS, FUNDED THROUGH COMPETITIVE RESEARCH TRAINING GRANTS. SMALL BUSINESS INNOVATION RESEARCH (SBIR) PROGRAM: TO STIMULATE TECHNOLOGICAL INNOVATION, USE SMALL BUSINESS TO MEET FEDERAL RESEARCH AND DEVELOPMENT NEEDS, FOSTER AND ENCOURAGE PARTICIPATION IN INNOVATION AND ENTREPRENEURSHIP BY SOCIALLY AND ECONOMICALLY DISADVANTAGED PERSONS, AND INCREASE PRIVATE-SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT FUNDING. SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAM: TO STIMULATE TECHNOLOGICAL INNOVATION, FOSTER TECHNOLOGY TRANSFER THROUGH COOPERATIVE R&D BETWEEN SMALL BUSINESSES AND RESEARCH INSTITUTIONS, AND INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL R&D.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Salt Lake City,
Utah
841081218
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 361% from $1,331,073 to $6,132,273.
University Of Utah was awarded
Efficient MRI Analysis of Cervical Carotid Atherosclerosis - Multi-Center
Project Grant R01HL159200
worth $6,132,273
from National Heart Lung and Blood Institute in September 2021 with work to be completed primarily in Salt Lake City Utah United States.
The grant
has a duration of 5 years and
was awarded through assistance program 93.837 Cardiovascular Diseases Research.
The Project Grant was awarded through grant opportunity NIH Research Project Grant (Parent R01 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 8/20/25
Period of Performance
9/1/21
Start Date
8/31/26
End Date
Funding Split
$6.1M
Federal Obligation
$0.0
Non-Federal Obligation
$6.1M
Total Obligated
Activity Timeline
Subgrant Awards
Disclosed subgrants for R01HL159200
Transaction History
Modifications to R01HL159200
Additional Detail
Award ID FAIN
R01HL159200
SAI Number
R01HL159200-471582934
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
75NH00 NIH National Heart, Lung, and Blood Institute
Funding Office
75NH00 NIH National Heart, Lung, and Blood Institute
Awardee UEI
LL8GLEVH6MG3
Awardee CAGE
3T624
Performance District
UT-01
Senators
Mike Lee
Mitt Romney
Mitt Romney
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| National Heart, Lung, and Blood Institute, National Institutes of Health, Health and Human Services (075-0872) | Health research and training | Grants, subsidies, and contributions (41.0) | $2,463,026 | 100% |
Modified: 8/20/25