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Rapid motion-robust quantitative DCE-MRI for the assessment of gynecologic cancers

Award Number: R01CA244532
ORGANIZATION: NATIONAL CANCER INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/22/2020
PERIOD OF PERFORMANCE END DATE: 06/30/2025

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Rapid motion-robust quantitative DCE-MRI for the assessment of gynecologic cancers - PROJECT SUMMARY Gynecologic cancers are some of the most lethal diseases affecting women. Globally, one woman dies of cervical cancer every two minutes. MRI is increasingly used in the evaluation of gynecologic and many other cancers. Beyond its established use for cancer staging, there has long been an interest in the use of MRI-derived quantitative metrics to gain insights into the tumor microenvironment. Parametric maps obtained from quantification of dynamic contrast enhanced (DCE) MRI data can be used to study tumor vascularity and identify tumors that are better perfused and oxygenated and thus more sensitive to some treatments such as chemotherapy and radiation. However, the relative slow imaging speed and motion sensitivity of current MRI technology results in non-reliable and non-reproducible quantification of DCE-MRI data, which restricts its application in clinical practice. Our group is a world leader in development of rapid motion-resistant DCE-MRI techniques, in particular using combinations of radial imaging and compressed sensing. We developed the technique called GRASP, which was conceived as an academic-industrial partnership and has now been successfully translated into standard clinical practice. Though powerful, the first generation of GRASP has limitations. First, radial imaging is robust to motion, but not free of motion, which usually results in blurring. Second, GRASP uses a very simple sparsifying transform for compressed sensing, which can introduce issues with quantification. Third, GRASP was not originally developed for pharmacokinetic analysis and misses important ingredients such as integration of AIF estimation and T1 mapping. Fourth, image reconstruction time is still very long – in the order of several minutes. We have developed new advances to circumvent these limitations and offer a new DCE-MRI technique with increased speed, motion-resistance and personalized AIF estimation and T1 mapping for pharmacokinetic analysis. Following the PAR-18-009 guidelines, our main goal is to form an academic-industrial partnership between Memorial Sloan Kettering Cancer Center and General Electric Healthcare to translate these new developments in quantitative DCE-MRI for use in patients with gynecologic and other type of cancers. Specific Aims are as follows: 1. Develop and implement a fast motion-resistant quantitative DCE-MRI technique that goes beyond GRASP to offer increased speed and resistance to motion; dynamic T1 mapping; and personalized and automated pharmacokinetic analysis 2. Evaluate the repeatability, reproducibility and preliminary tumor response assessment of the fast motion- robust quantitative DCE-MRI technique (“DCE-new”) and compare DCE-new to standard of care DCE-MRI (“DCE-standard”) in patients with gynecologic cancer 3. Develop and evaluate fast image reconstruction algorithms based on deep learning


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2026 ( Subtotal = $0 )
2026	2024	SLOAN-KETTERING INSTITUTE FOR CANCER RESEARCH	1275 YORK AVE	NEW YORK	NY	10065	NEW YORK	USA	Cancer Detection and Diagnosis Research	000	5	11/25/2025	NON-COMPETING CONTINUATION	$0
														Subtotal = $0

Issue Date FY: 2024 ( Subtotal = $549,623 )
2024	2024	SLOAN-KETTERING INSTITUTE FOR CANCER RESEARCH	1275 YORK AVENUE	NEW YORK	NY	10065	NEW YORK	USA	Cancer Detection and Diagnosis Research	001	5	6/20/2024	NON-COMPETING CONTINUATION	$549,623
2024	2023	SLOAN-KETTERING INSTITUTE FOR CANCER RESEARCH	1275 YORK AVENUE	NEW YORK	NY	10065	NEW YORK	USA	Cancer Detection and Diagnosis Research	000	4	12/12/2023	NON-COMPETING CONTINUATION	$0
														Subtotal = $549,623

Issue Date FY: 2023 ( Subtotal = $629,001 )
2023	2023	SLOAN-KETTERING INSTITUTE FOR CANCER RESEARCH	1275 YORK AVE	NEW YORK	NY	10065	NEW YORK	USA	Cancer Detection and Diagnosis Research	000	4	6/23/2023	NON-COMPETING CONTINUATION	$629,001
														Subtotal = $629,001

Issue Date FY: 2022 ( Subtotal = $591,847 )
2022	2022	SLOAN-KETTERING INSTITUTE FOR CANCER RESEARCH	1275 YORK AVE	NEW YORK	NY	10065	NEW YORK	USA	Cancer Detection and Diagnosis Research	000	3	7/14/2022	NON-COMPETING CONTINUATION	$591,847
														Subtotal = $591,847

Issue Date FY: 2021 ( Subtotal = $568,123 )
2021	2021	SLOAN-KETTERING INSTITUTE FOR CANCER RESEARCH	1275 YORK AVE	NEW YORK	NY	10065	NEW YORK	USA	Cancer Detection and Diagnosis Research	001	2	6/16/2021	NON-COMPETING CONTINUATION	$568,123
2021	2020	SLOAN-KETTERING INSTITUTE FOR CANCER RESEARCH	1275 YORK AVE	NEW YORK	NY	10065	NEW YORK	USA	Cancer Detection and Diagnosis Research	000	1	1/29/2021	NEW	$0
														Subtotal = $568,123

Issue Date FY: 2020 ( Subtotal = $535,197 )
2020	2020	SLOAN-KETTERING INSTITUTE FOR CANCER RESEARCH	1275 YORK AVE	NEW YORK	NY	10065	NEW YORK	USA	Cancer Detection and Diagnosis Research	000	1	9/22/2020	NEW	$535,197
														Subtotal = $535,197

Grand Total All Awards = $2,873,791

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Rapid motion-robust quantitative DCE-MRI for the assessment of gynecologic cancers

Award Number: R01CA244532

ORGANIZATION: NATIONAL CANCER INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 09/22/2020

PERIOD OF PERFORMANCE END DATE: 06/30/2025

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