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Towards screening with high-resolution, low-dose, dedicated breast CT

Award Number: R01CA199044
ORGANIZATION: NATIONAL CANCER INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 05/13/2016
PERIOD OF PERFORMANCE END DATE: 08/31/2029

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Towards screening with high-resolution, low-dose, dedicated breast CT - ABSTRACT Dedicated breast CT is an emerging technology with approximately 20-25 clinical prototypes and clinical systems worldwide. It does not require physical compression of the breast, can eliminate breast tissue superposition, and provides 3D images at near-isotropic spatial resolution. Earlier generations of breast CT, while demonstrating the concept, were suboptimal due to technological limitations and available components. In the prior funding (R01 CA199044), we focused on the hardware aspects: tested 4 detectors from different vendors, followed by designing, developing, and testing a dedicated breast CT system that employed an offset-detector geometry to enable imaging large breasts. This system achieved high resolution and low system noise and was specifically designed to improve chest-wall coverage and operate at a radiation dose suitable for breast cancer screening. In the pilot study completed under prior funding (R01 CA199044), the system demonstrated visualization of the pectoralis muscle in 177/179 (98.9%) breasts (effective diameter at chest wall: 12.82.1 cm); a remarkable improvement over the 40-78% reported in prior studies, and the mean glandular dose (MGD) was 4.10.9 mGy, which is similar to that reported for digital mammography (4.15 mGy) in the Digital Mammography Imaging Screening Trial (DMIST) study. In this competitive renewal, we focus on image reconstruction followed by a multi-reader, multi-case (MRMC) receiver operating characteristic (ROC) study using prospectively acquired data to evaluate if dedicated breast CT demonstrates improved performance over the current standard, digital breast tomosynthesis (DBT) for breast cancer screening. For image reconstruction, we will investigate a total of 5 techniques that were carefully chosen to encompass the current and emerging methods including the standard Feldkamp-Davis-Kress (FDK) reconstruction, one compressed sensing-based iterative reconstruction that is well-founded on a rigorous mathematical framework, and three deep learning-based reconstruction techniques with increasing sophistication, generalizability, and scientific rigor. The deep learning-based methods include a fully-supervised technique that requires input-reference image pairs and is tuned using physics-based measure, a self-supervised technique that does not require an independent reference image, and a self-supervised technique that is based on both the imaging physics and the mathematics of image reconstruction and does not require independent training data. These methods are not only applicable to dedicated breast CT, but are adaptable to cone-beam CT, in general, and potentially to the commonly used multi-detector CT. The MRMC ROC study is based on well-founded image science and is designed with statistical rigor. To our knowledge, there have been no prior studies comparing the diagnostic accuracy of DBT and breast CT at radiation dose levels suitable for breast cancer screening. This research addresses this unmet need. This research will not only provide pivotal data on the imaging performance of breast CT but also advance the state of image reconstruction that is applicable to the broader field.


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: 2025 ( Subtotal = $654,022 )
2025	2025	UNIVERSITY OF ARIZONA	845 N PARK AVE RM 538	TUCSON	AZ	85721	PIMA	USA	Cancer Detection and Diagnosis Research	000	7	9/2/2025	NON-COMPETING CONTINUATION	$654,022
														Subtotal = $654,022

Issue Date FY: 2024 ( Subtotal = $640,199 )
2024	2024	UNIVERSITY OF ARIZONA	845 N PARK AVE RM 538	TUCSON	AZ	85721	PIMA	USA	Cancer Detection and Diagnosis Research	001	6	8/22/2024	COMPETING CONTINUATION	$640,218
2024	2020	UNIVERSITY OF ARIZONA	845 N PARK AVE RM 538	TUCSON	AZ	85721	PIMA	USA	Cancer Detection and Diagnosis Research	000	5	1/11/2024	NON-COMPETING CONTINUATION	-$19
														Subtotal = $640,199

Issue Date FY: 2022 ( Subtotal = $0 )
2022	2020	UNIVERSITY OF ARIZONA	888 N EUCLID AVE RM 510	TUCSON	AZ	85719	PIMA	USA	Cancer Detection and Diagnosis Research	000	5	3/30/2022	NON-COMPETING CONTINUATION	$0
														Subtotal = $0

Issue Date FY: 2020 ( Subtotal = $577,984 )
2020	2020	UNIVERSITY OF ARIZONA	888 N EUCLID AVE RM 510	TUCSON	AZ	85719	PIMA	USA	Cancer Detection and Diagnosis Research	000	5	4/20/2020	NON-COMPETING CONTINUATION	$577,984
														Subtotal = $577,984

Issue Date FY: 2019 ( Subtotal = $566,700 )
2019	2019	UNIVERSITY OF ARIZONA	888 N EUCLID AVE RM 510	TUCSON	AZ	85719	PIMA	USA	Cancer Detection and Diagnosis Research	000	4	5/1/2019	NON-COMPETING CONTINUATION	$566,700
														Subtotal = $566,700

Issue Date FY: 2018 ( Subtotal = $543,675 )
2018	2018	UNIVERSITY OF ARIZONA	888 N EUCLID AVE RM 510	TUCSON	AZ	85719	PIMA	USA	Cancer Detection and Diagnosis Research	000	3	4/12/2018	NON-COMPETING CONTINUATION	$543,675
														Subtotal = $543,675

Issue Date FY: 2017 ( Subtotal = $557,000 )
2017	2017	UNIVERSITY OF ARIZONA	888 N EUCLID AVE RM 510	TUCSON	AZ	85719	PIMA	USA	Cancer Detection and Diagnosis Research	003	2	9/27/2017	CHANGE OF GRANTEE / TRAINING INSTITUTION / AWARDING INSTITUTION	$353,775
2017	2017	UNIVERSITY OF ARIZONA	888 N EUCLID AVE RM 510	TUCSON	AZ	85719	PIMA	USA	Cancer Detection and Diagnosis Research	001	2	6/8/2017	CHANGE OF GRANTEE / TRAINING INSTITUTION / AWARDING INSTITUTION	$54,363
2017	2017	UNIVERSITY OF ARIZONA	888 N EUCLID AVE RM 510	TUCSON	AZ	85719	PIMA	USA	Cancer Detection and Diagnosis Research	000	2	4/28/2017	CHANGE OF GRANTEE / TRAINING INSTITUTION / AWARDING INSTITUTION	$502,637
2017	2016	UNIVERSITY OF MASSACHUSETTS	55 LAKE AVE N	WORCESTER	MA	01655	WORCESTER	USA	Cancer Detection and Diagnosis Research	002	1	9/27/2017	NEW	-$353,775
														Subtotal = $557,000

Issue Date FY: 2016 ( Subtotal = $620,998 )
2016	2016	UNIVERSITY OF MASSACHUSETTS	406 GOODELL BLDG, BOX 33210	AMHERST	MA	01003	HAMPSHIRE	USA	Cancer Detection and Diagnosis Research	000	1	5/12/2016	NEW	$620,998
														Subtotal = $620,998

Grand Total All Awards = $4,160,578

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Towards screening with high-resolution, low-dose, dedicated breast CT

Award Number: R01CA199044

ORGANIZATION: NATIONAL CANCER INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

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

PERIOD OF PERFORMANCE START DATE: 05/13/2016

PERIOD OF PERFORMANCE END DATE: 08/31/2029

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