R37CA263583
Project Grant
Overview
Grant Description
3D High Resolution Magnetic Resonance Fingerprinting for Prostate Cancer - Project Summary Abstract
The goal is to identify and characterize prostate cancer objectively and accurately using a rapid quantitative magnetic resonance imaging (MRI) approach. The standard-of-care in patients being evaluated for suspicion of prostate cancer is systematic sampling of the entire gland with 12 biopsy cores, without an identified focus suspicious for cancer on imaging. Current qualitative MR images, while mostly successful in highlighting prostate cancer, may look different from scanner to scanner, or even when repeated on the same scanner. This variability adds complexity to an already subjective interpretive process of detecting cancer and discriminating between clinically significant and indolent disease. Thus, more robust and standardized MRI methods to detect and characterize clinically significant prostate cancer are needed.
This project plans to address this issue with following specific aims:
(1) A rapid high-resolution 3D MRF acquisition will be developed and optimized for prostate cancer assessment by innovating reduced field-of-view imaging, 3D Cartesian sampling, and advanced reconstruction in MRF. The proposal MRF acquisition will enable accurate T1 and T2 mapping over the prostate gland with an isotropic submillimeter resolution (0.8 mm3) in an acquisition time of less than 5 minutes.
(2) Contrast-weighted images synthesized using MRF-based T1 and T2 maps will replace conventional qualitative images for detecting prostate cancer.
(3) MRF-based T1 and T2 with apparent diffusion coefficient will be validated to separate cancer from non-cancer and differentiate cancers with different grades.
(4) Microstructural signatures of prostate cancer derived from MRF will provide information about subvoxel components (epithelium, stroma, lumen, and their volume fractions) to reveal occult cancers and enable the discrimination of different grades of cancer.
This project will advance prostate imaging by providing reproducible and repeatable non-invasive quantitative imaging metrics. These innovations will replace conventional contrast-weighted imaging with a single rapid high-resolution standard MRF protocol, provide an objective identification of prostate cancer and grading, and improve the classification of prostate cancer using microstructural signatures, thus reducing unnecessary biopsies and facilitating appropriate treatment selection.
The goal is to identify and characterize prostate cancer objectively and accurately using a rapid quantitative magnetic resonance imaging (MRI) approach. The standard-of-care in patients being evaluated for suspicion of prostate cancer is systematic sampling of the entire gland with 12 biopsy cores, without an identified focus suspicious for cancer on imaging. Current qualitative MR images, while mostly successful in highlighting prostate cancer, may look different from scanner to scanner, or even when repeated on the same scanner. This variability adds complexity to an already subjective interpretive process of detecting cancer and discriminating between clinically significant and indolent disease. Thus, more robust and standardized MRI methods to detect and characterize clinically significant prostate cancer are needed.
This project plans to address this issue with following specific aims:
(1) A rapid high-resolution 3D MRF acquisition will be developed and optimized for prostate cancer assessment by innovating reduced field-of-view imaging, 3D Cartesian sampling, and advanced reconstruction in MRF. The proposal MRF acquisition will enable accurate T1 and T2 mapping over the prostate gland with an isotropic submillimeter resolution (0.8 mm3) in an acquisition time of less than 5 minutes.
(2) Contrast-weighted images synthesized using MRF-based T1 and T2 maps will replace conventional qualitative images for detecting prostate cancer.
(3) MRF-based T1 and T2 with apparent diffusion coefficient will be validated to separate cancer from non-cancer and differentiate cancers with different grades.
(4) Microstructural signatures of prostate cancer derived from MRF will provide information about subvoxel components (epithelium, stroma, lumen, and their volume fractions) to reveal occult cancers and enable the discrimination of different grades of cancer.
This project will advance prostate imaging by providing reproducible and repeatable non-invasive quantitative imaging metrics. These innovations will replace conventional contrast-weighted imaging with a single rapid high-resolution standard MRF protocol, provide an objective identification of prostate cancer and grading, and improve the classification of prostate cancer using microstructural signatures, thus reducing unnecessary biopsies and facilitating appropriate treatment selection.
Funding Goals
TO IMPROVE SCREENING AND EARLY DETECTION STRATEGIES AND TO DEVELOP ACCURATE DIAGNOSTIC TECHNIQUES AND METHODS FOR PREDICTING THE COURSE OF DISEASE IN CANCER PATIENTS. SCREENING AND EARLY DETECTION RESEARCH INCLUDES DEVELOPMENT OF STRATEGIES TO DECREASE CANCER MORTALITY BY FINDING TUMORS EARLY WHEN THEY ARE MORE AMENABLE TO TREATMENT. DIAGNOSIS RESEARCH FOCUSES ON METHODS TO DETERMINE THE PRESENCE OF A SPECIFIC TYPE OF CANCER, TO PREDICT ITS COURSE AND RESPONSE TO THERAPY, BOTH A PARTICULAR THERAPY OR A CLASS OF AGENTS, AND TO MONITOR THE EFFECT OF THE THERAPY AND THE APPEARANCE OF DISEASE RECURRENCE. THESE METHODS INCLUDE DIAGNOSTIC IMAGING AND DIRECT ANALYSES OF SPECIMENS FROM TUMOR OR OTHER TISSUES. SUPPORT IS ALSO PROVIDED FOR ESTABLISHING AND MAINTAINING RESOURCES OF HUMAN TISSUE TO FACILITATE RESEARCH. SMALL BUSINESS INNOVATION RESEARCH (SBIR) PROGRAM: TO EXPAND AND IMPROVE THE SBIR PROGRAM, TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT, TO INCREASE SMALL BUSINESS PARTICIPATION IN FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION OF SOCIALLY AND ECONOMICALLY DISADVANTAGED SMALL BUSINESS CONCERNS AND WOMEN-OWNED SMALL BUSINESS CONCERNS IN TECHNOLOGICAL INNOVATION. SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAM: TO STIMULATE AND FOSTER SCIENTIFIC AND TECHNOLOGICAL INNOVATION THROUGH COOPERATIVE RESEARCH AND DEVELOPMENT CARRIED OUT BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO FOSTER TECHNOLOGY TRANSFER BETWEEN SMALL BUSINESS CONCERNS AND RESEARCH INSTITUTIONS, TO INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT, AND TO FOSTER AND ENCOURAGE PARTICIPATION OF SOCIALLY AND ECONOMICALLY DISADVANTAGED SMALL BUSINESS CONCERNS AND WOMEN-OWNED SMALL BUSINESS CONCERNS IN TECHNOLOGICAL INNOVATION.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Ann Arbor,
Michigan
481091276
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 395% from $641,896 to $3,177,909.
Regents Of The University Of Michigan was awarded
3D MRF for Prostate Cancer Detection
Project Grant R37CA263583
worth $3,177,909
from National Cancer Institute in August 2021 with work to be completed primarily in Ann Arbor Michigan United States.
The grant
has a duration of 5 years and
was awarded through assistance program 93.394 Cancer Detection and Diagnosis Research.
The Project Grant was awarded through grant opportunity NIH Research Project Grant (Parent R01 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 9/24/25
Period of Performance
8/1/21
Start Date
7/31/26
End Date
Funding Split
$3.2M
Federal Obligation
$0.0
Non-Federal Obligation
$3.2M
Total Obligated
Activity Timeline
Transaction History
Modifications to R37CA263583
Additional Detail
Award ID FAIN
R37CA263583
SAI Number
R37CA263583-584979009
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
75NC00 NIH National Cancer Institute
Funding Office
75NC00 NIH National Cancer Institute
Awardee UEI
GNJ7BBP73WE9
Awardee CAGE
03399
Performance District
MI-06
Senators
Debbie Stabenow
Gary Peters
Gary Peters
Budget Funding
Federal Account | Budget Subfunction | Object Class | Total | Percentage |
---|---|---|---|---|
National Cancer Institute, National Institutes of Health, Health and Human Services (075-0849) | Health research and training | Grants, subsidies, and contributions (41.0) | $1,276,513 | 100% |
Modified: 9/24/25