R01CA266803
Project Grant
Overview
Grant Description
AN IONIZING RADIATION ACOUSTICS IMAGING (IRAI) APPROACH FOR GUIDED FLASH RADIOTHERAPY - SUMMARY
AN EMERGING RADIOTHERAPY (RT) MODALITY THAT UTILIZES ULTRA-HIGH DOSE RATE, KNOWN AS FLASH-RT, HAS DEMONSTRATED UNPRECEDENTED ABILITY FOR IMPROVING RT THERAPEUTIC RATIO IN PRECLINICAL STUDIES AND EARLY CLINICAL CASES.
BECAUSE OF LACK OF APPROPRIATE IMAGE-GUIDANCE TECHNOLOGIES, THESE STUDIES HAVE BEEN LIMITED TO SUPERFICIAL IRRADIATIONS AND SIMPLISTIC CASES WHERE MONITORING OF DELIVERED DOSE IS PERMISSIBLE USING EXISTING METHODS. THIS SEVERELY HANDICAPS THE PROSPECTS OF FLASH-RT AND LARGELY LIMITS ITS PROMISING IMPACT FOR DEEP SEATED TUMORS, WHICH CONSTITUTE MOST OF RT CANCER CASES.
IT IS WIDELY RECOGNIZED THAT CURRENTLY USED DOSIMETRY TECHNOLOGIES FALL SHORT OF PROVIDING THE NECESSARY GUIDANCE TO DELIVER FLASH-RT IN A PRACTICAL CLINICAL SETTING WITHOUT EXPOSING THE PATIENT TO TREMENDOUS RISKS THAT GO FAR BEYOND THE TRADITIONAL RT DELIVERY.
UNDOUBTEDLY, THERE IS AN UNMET NEED TO DEVELOP IN VIVO IMAGE-GUIDANCE TECHNIQUES TO SAFEGUARD FLASH-RT ACCURATE DELIVERY. WE HOLD THAT THESE CHALLENGES CAN BE RESOLVED BY REFINING THE EMERGING TECHNOLOGY OF IONIZING RADIATION-INDUCED ACOUSTIC IMAGING (IRAI), WHICH CAN BE INTRINSICALLY PAIRED WITH FLASH-RT DELIVERY SYSTEMS.
IRAI IS BASED ON THE KNOWN THERMOACOUSTIC PHENOMENON IN RADIATION PHYSICS, WHERE ACOUSTIC WAVES ARE GENERATED FROM THERMOELASTIC EXPANSION OF A SUBSTANCE FOLLOWING ABSORPTION OF PENETRATING PULSATED HIGH ENERGY RADIATION.
BUILDING UPON OUR MULTI-INSTITUTIONAL MULTIDISCIPLINARY TEAM WITH EXPERTISE IN ULTRASOUND (US) IMAGING, RT PHYSICS, DATA ANALYTICS, AND OUR PROMISING PRELIMINARY RESULTS, WE HYPOTHESIZE THAT: (1) A DUAL-MODALITY IMAGING SYSTEM COMPRISED OF IRAI AND US (IRAI-US) CAN SIMULTANEOUSLY IMAGE BOTH TISSUE MORPHOLOGY AND 3D DOSE DEPOSITION DURING FLASH-RT DELIVERY WITH HIGH SPATIO-TEMPORAL RESOLUTIONS; AND (2) MACHINE LEARNING BASED RECONSTRUCTION AND ANOMALY DETECTION CAN EFFECTIVELY IMPROVE IMAGING QUALITY AND MITIGATE ERRORS, RESPECTIVELY, FOR CLINICAL TRANSLATION.
THEREFORE, IN THIS PROJECT WE AIM TO EXPLOIT THE TECHNOLOGICAL POTENTIALS OF IRAI-US AND MACHINE LEARNING FOR DEVELOPING AN IMAGE-GUIDANCE PLATFORM FOR EFFECTIVE AND SAFE FLASH-RT DELIVERY. WE WILL DEMONSTRATE ITS EFFICACY WITH ELECTRON AND PROTON BEAMS USING COMPUTER SIMULATIONS (IN SILICO), TISSUE MIMICKING PHANTOMS, AND RELEVANT PRECLINICAL IN VIVO MODELS.
SPECIFICALLY, WE WILL (1) DEVELOP AND TEST A DUAL-MODE IMAGING SYSTEM FOR 3D RADIATION-ACOUSTICS DOSIMETRY AND US IMAGING FOR FLASH-RT; (2) EVALUATE THE IN VIVO PERFORMANCE OF IRAI-US DUAL IMAGING DURING ELECTRON AND PROTON FLASH-RT DELIVERIES; AND (3) ADAPT AND IMPROVE IRAI VOLUMETRIC REPRESENTATION, TEMPORAL RESOLUTION AND ERROR DETECTION FOR FLASH-RT USING DEEP MACHINE LEARNING ALGORITHMS (DEEPRAI) TOWARDS EFFECTIVE CLINICAL IMPLEMENTATION.
IMPACT: OUR PROPOSED IMAGE-GUIDED FLASH-RT, ONCE VALIDATED, WILL OFFER A PRACTICAL, ROBUST, COST-EFFECTIVE, AND UNIQUE SYSTEM FOR SAFEGUARDING FLASH-RT DELIVERY. THESE ADVANCEMENTS WILL ADDRESS THE CURRENT CHALLENGES IMPEDING THE CLINICAL TRANSLATION OF FLASH-RT AND ENABLE ACHIEVING ITS PROMISE OF LIMITING RADIOTHERAPY TOXICITY TO NORMAL TISSUES AND THEREBY IMPROVING CANCER PATIENT CARE AND QUALITY OF LIFE.
AN EMERGING RADIOTHERAPY (RT) MODALITY THAT UTILIZES ULTRA-HIGH DOSE RATE, KNOWN AS FLASH-RT, HAS DEMONSTRATED UNPRECEDENTED ABILITY FOR IMPROVING RT THERAPEUTIC RATIO IN PRECLINICAL STUDIES AND EARLY CLINICAL CASES.
BECAUSE OF LACK OF APPROPRIATE IMAGE-GUIDANCE TECHNOLOGIES, THESE STUDIES HAVE BEEN LIMITED TO SUPERFICIAL IRRADIATIONS AND SIMPLISTIC CASES WHERE MONITORING OF DELIVERED DOSE IS PERMISSIBLE USING EXISTING METHODS. THIS SEVERELY HANDICAPS THE PROSPECTS OF FLASH-RT AND LARGELY LIMITS ITS PROMISING IMPACT FOR DEEP SEATED TUMORS, WHICH CONSTITUTE MOST OF RT CANCER CASES.
IT IS WIDELY RECOGNIZED THAT CURRENTLY USED DOSIMETRY TECHNOLOGIES FALL SHORT OF PROVIDING THE NECESSARY GUIDANCE TO DELIVER FLASH-RT IN A PRACTICAL CLINICAL SETTING WITHOUT EXPOSING THE PATIENT TO TREMENDOUS RISKS THAT GO FAR BEYOND THE TRADITIONAL RT DELIVERY.
UNDOUBTEDLY, THERE IS AN UNMET NEED TO DEVELOP IN VIVO IMAGE-GUIDANCE TECHNIQUES TO SAFEGUARD FLASH-RT ACCURATE DELIVERY. WE HOLD THAT THESE CHALLENGES CAN BE RESOLVED BY REFINING THE EMERGING TECHNOLOGY OF IONIZING RADIATION-INDUCED ACOUSTIC IMAGING (IRAI), WHICH CAN BE INTRINSICALLY PAIRED WITH FLASH-RT DELIVERY SYSTEMS.
IRAI IS BASED ON THE KNOWN THERMOACOUSTIC PHENOMENON IN RADIATION PHYSICS, WHERE ACOUSTIC WAVES ARE GENERATED FROM THERMOELASTIC EXPANSION OF A SUBSTANCE FOLLOWING ABSORPTION OF PENETRATING PULSATED HIGH ENERGY RADIATION.
BUILDING UPON OUR MULTI-INSTITUTIONAL MULTIDISCIPLINARY TEAM WITH EXPERTISE IN ULTRASOUND (US) IMAGING, RT PHYSICS, DATA ANALYTICS, AND OUR PROMISING PRELIMINARY RESULTS, WE HYPOTHESIZE THAT: (1) A DUAL-MODALITY IMAGING SYSTEM COMPRISED OF IRAI AND US (IRAI-US) CAN SIMULTANEOUSLY IMAGE BOTH TISSUE MORPHOLOGY AND 3D DOSE DEPOSITION DURING FLASH-RT DELIVERY WITH HIGH SPATIO-TEMPORAL RESOLUTIONS; AND (2) MACHINE LEARNING BASED RECONSTRUCTION AND ANOMALY DETECTION CAN EFFECTIVELY IMPROVE IMAGING QUALITY AND MITIGATE ERRORS, RESPECTIVELY, FOR CLINICAL TRANSLATION.
THEREFORE, IN THIS PROJECT WE AIM TO EXPLOIT THE TECHNOLOGICAL POTENTIALS OF IRAI-US AND MACHINE LEARNING FOR DEVELOPING AN IMAGE-GUIDANCE PLATFORM FOR EFFECTIVE AND SAFE FLASH-RT DELIVERY. WE WILL DEMONSTRATE ITS EFFICACY WITH ELECTRON AND PROTON BEAMS USING COMPUTER SIMULATIONS (IN SILICO), TISSUE MIMICKING PHANTOMS, AND RELEVANT PRECLINICAL IN VIVO MODELS.
SPECIFICALLY, WE WILL (1) DEVELOP AND TEST A DUAL-MODE IMAGING SYSTEM FOR 3D RADIATION-ACOUSTICS DOSIMETRY AND US IMAGING FOR FLASH-RT; (2) EVALUATE THE IN VIVO PERFORMANCE OF IRAI-US DUAL IMAGING DURING ELECTRON AND PROTON FLASH-RT DELIVERIES; AND (3) ADAPT AND IMPROVE IRAI VOLUMETRIC REPRESENTATION, TEMPORAL RESOLUTION AND ERROR DETECTION FOR FLASH-RT USING DEEP MACHINE LEARNING ALGORITHMS (DEEPRAI) TOWARDS EFFECTIVE CLINICAL IMPLEMENTATION.
IMPACT: OUR PROPOSED IMAGE-GUIDED FLASH-RT, ONCE VALIDATED, WILL OFFER A PRACTICAL, ROBUST, COST-EFFECTIVE, AND UNIQUE SYSTEM FOR SAFEGUARDING FLASH-RT DELIVERY. THESE ADVANCEMENTS WILL ADDRESS THE CURRENT CHALLENGES IMPEDING THE CLINICAL TRANSLATION OF FLASH-RT AND ENABLE ACHIEVING ITS PROMISE OF LIMITING RADIOTHERAPY TOXICITY TO NORMAL TISSUES AND THEREBY IMPROVING CANCER PATIENT CARE AND QUALITY OF LIFE.
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
Tampa,
Florida
336129497
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 426% from $619,897 to $3,262,628.
H. Lee Moffitt Cancer Center And Research Institute Hospital was awarded
IRAI-US for Flash-RT: Image-Guided Radiation Therapy
Project Grant R01CA266803
worth $3,262,628
from National Cancer Institute in September 2022 with work to be completed primarily in Tampa Florida United States.
The grant
has a duration of 5 years and
was awarded through assistance program 93.395 Cancer Treatment 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
9/20/22
Start Date
8/31/27
End Date
Funding Split
$3.3M
Federal Obligation
$0.0
Non-Federal Obligation
$3.3M
Total Obligated
Activity Timeline
Transaction History
Modifications to R01CA266803
Additional Detail
Award ID FAIN
R01CA266803
SAI Number
R01CA266803-1951709113
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Nonprofit With 501(c)(3) IRS Status (Other Than An Institution Of Higher Education)
Awarding Office
75NC00 NIH National Cancer Institute
Funding Office
75NC00 NIH National Cancer Institute
Awardee UEI
DVHKP4N619V9
Awardee CAGE
1X4B9
Performance District
FL-15
Senators
Marco Rubio
Rick Scott
Rick Scott
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) | $1,272,640 | 100% |
Modified: 9/24/25