UH3CA228699
Cooperative Agreement
Overview
Grant Description
Diffusion MRI of Treatment Response for De-escalation of Radiation Therapy - Project Summary
Chemoradiation therapy is a standard treatment regimen for locally advanced head and neck squamous cell carcinoma (HNSCC). However, this treatment regimen is difficult for patients as they experience high rates of grade 3 or higher toxicities, including leukopenia (42%) and the need for a feeding tube (52%). Recent studies have shown that a subgroup of HNSCC patients with human-papilloma virus (HPV)-positive oropharyngeal (OP) SCC have significantly better prognosis. These clinical data lead to important considerations to de-intensify treatment for this low-risk, younger population in order to reduce acute and chronic toxicity without compromising disease control.
It has been suggested that the adaptive de-escalation of treatment can be tailored for individual patients based on the early tumor volume change. However, volumetric assessment is often inadequate because the treatment response of a tumor can be heterogeneous in terms of (i) cell viability, (ii) cellular metabolism, and (iii) perfusion that are relevant to the success of any chemoradiation therapy. These complex changes may not be adequately represented by tumor volume change at the early stage.
The proposed study is based on a combination of the quantitative diffusion MRI (DMRI) methods with their own technical innovations that can also be applied to other clinical studies. DMRI is a unique in vivo imaging technique sensitive to cellular microstructures at the scale of water diffusion length on the order of a few microns. However, quantitative DMRI remains challenging as DMRI data represent different biophysical properties of tissue depending on diffusion weighting strength (Q) and diffusion time (T) used for the measurement.
The scientific premise of the proposal is that this study will establish a quantitative way to utilize both Q- and T-dependent DMRI data as a tailored approach to quantify cell viability, cellular metabolism, and perfusion from this non-contrast MRI method. We demonstrated that both diffusion coefficient D and diffusional kurtosis coefficient K are promising imaging markers for cell viability. Cellular metabolism can be evaluated in terms of the water exchange tex, measured by the diffusion time-dependent K, that is regulated by the ATP-dependent trans-membrane ion channels co-transporting water molecules. Intravoxel incoherent motion MRI metrics (pseudo diffusivity, DP; perfusion fraction, FP) can provide information about perfusion flow. Ultimately, these DMRI measures will better identify patients who have the potential to benefit from adaptive de-escalation or escalation of therapy.
In this proposal, we will further optimize and establish a set of quantitative non-contrast imaging markers of cell viability (D and K), cellular metabolism (tex), and perfusion (FP·DP) as a clinical tool for assessment of treatment response and validate it in a clinical trial. The data acquisition and analysis software tools to be developed in this study will enable comprehensive and quantitative assessment of cancer treatment response to tailor chemoradiation therapies for individual patients.
Chemoradiation therapy is a standard treatment regimen for locally advanced head and neck squamous cell carcinoma (HNSCC). However, this treatment regimen is difficult for patients as they experience high rates of grade 3 or higher toxicities, including leukopenia (42%) and the need for a feeding tube (52%). Recent studies have shown that a subgroup of HNSCC patients with human-papilloma virus (HPV)-positive oropharyngeal (OP) SCC have significantly better prognosis. These clinical data lead to important considerations to de-intensify treatment for this low-risk, younger population in order to reduce acute and chronic toxicity without compromising disease control.
It has been suggested that the adaptive de-escalation of treatment can be tailored for individual patients based on the early tumor volume change. However, volumetric assessment is often inadequate because the treatment response of a tumor can be heterogeneous in terms of (i) cell viability, (ii) cellular metabolism, and (iii) perfusion that are relevant to the success of any chemoradiation therapy. These complex changes may not be adequately represented by tumor volume change at the early stage.
The proposed study is based on a combination of the quantitative diffusion MRI (DMRI) methods with their own technical innovations that can also be applied to other clinical studies. DMRI is a unique in vivo imaging technique sensitive to cellular microstructures at the scale of water diffusion length on the order of a few microns. However, quantitative DMRI remains challenging as DMRI data represent different biophysical properties of tissue depending on diffusion weighting strength (Q) and diffusion time (T) used for the measurement.
The scientific premise of the proposal is that this study will establish a quantitative way to utilize both Q- and T-dependent DMRI data as a tailored approach to quantify cell viability, cellular metabolism, and perfusion from this non-contrast MRI method. We demonstrated that both diffusion coefficient D and diffusional kurtosis coefficient K are promising imaging markers for cell viability. Cellular metabolism can be evaluated in terms of the water exchange tex, measured by the diffusion time-dependent K, that is regulated by the ATP-dependent trans-membrane ion channels co-transporting water molecules. Intravoxel incoherent motion MRI metrics (pseudo diffusivity, DP; perfusion fraction, FP) can provide information about perfusion flow. Ultimately, these DMRI measures will better identify patients who have the potential to benefit from adaptive de-escalation or escalation of therapy.
In this proposal, we will further optimize and establish a set of quantitative non-contrast imaging markers of cell viability (D and K), cellular metabolism (tex), and perfusion (FP·DP) as a clinical tool for assessment of treatment response and validate it in a clinical trial. The data acquisition and analysis software tools to be developed in this study will enable comprehensive and quantitative assessment of cancer treatment response to tailor chemoradiation therapies for individual patients.
Funding Goals
TO DEVELOP THE MEANS TO CURE AS MANY CANCER PATIENTS AS POSSIBLE AND TO CONTROL THE DISEASE IN THOSE PATIENTS WHO ARE NOT CURED. CANCER TREATMENT RESEARCH INCLUDES THE DEVELOPMENT AND EVALUATION OF IMPROVED METHODS OF CANCER TREATMENT THROUGH THE SUPPORT AND PERFORMANCE OF BOTH FUNDAMENTAL AND APPLIED LABORATORY AND CLINICAL RESEARCH. RESEARCH IS SUPPORTED IN THE DISCOVERY, DEVELOPMENT, AND CLINICAL TESTING OF ALL MODES OF THERAPY INCLUDING: SURGERY, RADIOTHERAPY, CHEMOTHERAPY, AND BIOLOGICAL THERAPY INCLUDING MOLECULARLY TARGETED THERAPIES, BOTH INDIVIDUALLY AND IN COMBINATION. IN ADDITION, RESEARCH IS CARRIED OUT IN AREAS OF NUTRITIONAL SUPPORT, STEM CELL AND BONE MARROW TRANSPLANTATION, IMAGE GUIDED THERAPIES AND STUDIES TO REDUCE TOXICITY OF CYTOTOXIC THERAPIES, AND OTHER METHODS OF SUPPORTIVE CARE THAT MAY SUPPLEMENT AND ENHANCE PRIMARY TREATMENT. 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
New York
United States
Geographic Scope
State-Wide
Related Opportunity
Analysis Notes
Amendment Since initial award the End Date has been extended from 04/30/24 to 04/30/25 and the total obligations have increased 174% from $461,688 to $1,266,958.
Weill Medical College Of Cornell University was awarded
Diffusion MRI of Treatment Response for De-escalation of Radiation Therapy
Cooperative Agreement UH3CA228699
worth $1,266,958
from National Cancer Institute in May 2019 with work to be completed primarily in New York United States.
The grant
has a duration of 6 years and
was awarded through assistance program 93.394 Cancer Detection and Diagnosis Research.
The Cooperative Agreement was awarded through grant opportunity Quantitative Imaging Tools and Methods for Cancer Therapy Response Assessment (UG3/UH3 Clinical Trial Optional).
Status
(Complete)
Last Modified 9/24/25
Period of Performance
5/1/19
Start Date
4/30/25
End Date
Funding Split
$1.3M
Federal Obligation
$0.0
Non-Federal Obligation
$1.3M
Total Obligated
Activity Timeline
Transaction History
Modifications to UH3CA228699
Additional Detail
Award ID FAIN
UH3CA228699
SAI Number
UH3CA228699-2037330715
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Private Institution Of Higher Education
Awarding Office
75NC00 NIH National Cancer Institute
Funding Office
75NC00 NIH National Cancer Institute
Awardee UEI
YNT8TCJH8FQ8
Awardee CAGE
1UMU6
Performance District
NY-90
Senators
Kirsten Gillibrand
Charles Schumer
Charles Schumer
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) | $747,832 | 100% |
Modified: 9/24/25