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Low-Field High-Performance MRI for Screening Clinically Significant Prostate Cancer

Award Number: R21CA256324
ORGANIZATION: NATIONAL CANCER INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 12/01/2020
PERIOD OF PERFORMANCE END DATE: 11/30/2022

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Low-Field High-Performance MRI for Screening Clinically Significant Prostate Cancer - Project Summary/Abstract Prostate cancer (PCa) is the most common malignancy and is the 2nd leading cause of cancer-related mortality in males in the United States. Despite high incidence and tremendous human and economic impact of PCa, there is no good screening test for clinically significant PCa. Commonly used blood test for Prostate Specific Antigen (PSA) is inexpensive but lack specificity for clinically significant PCa. Over the last decade, multi- parametric prostate MRI has been shown to have an increasingly important role in the detection and localization of clinically significant PCa. Despite the demonstrated value of prostate MRI, there are two major challenges in clinical implementation of prostate MRI as a first-line screening tool at a population level: (1) high cost of the scanner and the exam, which decreases accessibility, and (2) lack of robustness of the MRI exam. To overcome these limitations we propose establishing a low-field, robust, widely accessible, and thus low- cost high-performance MRI system for PCa screening. Major challenges for imaging at lower field strength is the lower signal to noise (SNR) and thus longer acquisition times compared to 1.5 and 3.0 T. In this proposal we aim to address these efficiency and scan time challenges at low field. Our team of clinical and imaging scientists will bring to bear novel acquisition and reconstruction techniques to restore SNR, specifically random matrix theory (RMT- a technique our center has recently introduced), and deep-learning- based image reconstruction (an area our group has helped to pioneer). We will evaluate these techniques in healthy volunteers and patients with PCa. Subsequently, we will perform head-to-head comparison of low-field bi-parametric exam to routine clinical 1.5 T or 3.0 T MRI exams in 30 patients with known or suspected PCa.


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: 2023 ( Subtotal = -$84 )
2023	2022	NEW YORK UNIVERSITY	550 1ST AVE	NEW YORK	NY	10016	NEW YORK	USA	Cancer Detection and Diagnosis Research	000	2	9/22/2023	NON-COMPETING CONTINUATION	-$84
														Subtotal = -$84

Issue Date FY: 2022 ( Subtotal = $194,142 )
2022	2022	NEW YORK UNIVERSITY	550 1ST AVE	NEW YORK	NY	10016	NEW YORK	USA	Cancer Detection and Diagnosis Research	001	2	6/2/2022	NON-COMPETING CONTINUATION	$15,850
2022	2022	NEW YORK UNIVERSITY	550 1ST AVE	NEW YORK	NY	10016	NEW YORK	USA	Cancer Detection and Diagnosis Research	000	2	11/4/2021	NON-COMPETING CONTINUATION	$178,292
														Subtotal = $194,142

Issue Date FY: 2021 ( Subtotal = $237,724 )
2021	2021	NEW YORK UNIVERSITY	550 1ST AVE	NEW YORK	NY	10016	NEW YORK	USA	Cancer Detection and Diagnosis Research	000	1	11/20/2020	NEW	$237,724
														Subtotal = $237,724

Grand Total All Awards = $431,782

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Low-Field High-Performance MRI for Screening Clinically Significant Prostate Cancer

Award Number: R21CA256324

ORGANIZATION: NATIONAL CANCER INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

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

PERIOD OF PERFORMANCE START DATE: 12/01/2020

PERIOD OF PERFORMANCE END DATE: 11/30/2022

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