Multi-center implementation and validation of efficient magnetic resonance imaging and analysis of atherosclerotic disease of the cervical carotid
Active Project Grant Awarded Last action
- Award ID
- R01HL159200
- Recipient
-
University Of Utah UEI LL8GLEVH6MG3
- Awarding agency
-
National Heart Lung and Blood Institute
National Institutes of Health, Department of Health and Human Services
- Obligated
- $13,621,817
Award facts
- Assistance listing
- 93.837 Cardiovascular Diseases Research
- Completion date 86% complete
- Originally
- Funding
-
- $12,290,744.00 Federal
- $1,331,073.00 Non-federal
- Place of performance
- Emigration Canyon, UT 84108, USA
Award details come from USAspending.gov.
Description
- 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.
Transactions
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| Amendment | $1,331,073 | $0 | |
| Original award | $1,331,073 | $1,331,073 |
Show all 27
Subawards
| Subrecipient | Amount | Awarded |
|---|---|---|
| The Regents Of The University Of California. San Francisco | $1,174,167 | |
| Siemens Healthcare Diagnostics Inc. | $669,371 | |
| Cedars-Sinai Medical Center | $1,123,767 | |
| University Of Arizona | $1,085,358 |
Quick answers
Who received award R01HL159200?
R01HL159200 was awarded to University Of Utah by National Heart Lung and Blood Institute (National Institutes of Health) on September 1, 2021.
How much is award R01HL159200 worth?
$13,621,817 has been obligated on R01HL159200: $12,290,744 in federal funding and $1,331,073 in non-federal funding.
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