Official websites use .gov

A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS

A lock ( 🔒 ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Need Help

Multiscale anisotropy analysis of breast tissue subtypes from mammography and pathology

Award Number: R15CA246335
ORGANIZATION: NATIONAL CANCER INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 09/07/2020
PERIOD OF PERFORMANCE END DATE: 01/31/2028

Group Awards By:

View Award Description

Multiscale anisotropy analysis of breast tissue subtypes from mammography and pathology - Summary Half of breast cancer cases occur in women with no identifiable risk factors. Approximately 50% of women have dense breasts, which increases their risk 3-5 fold compared to those with entirely fatty breasts, but only a subset of them will develop breast cancer. One explanation lies in tumor microenvironment (TME) changes that promote a breast tumorigenic environment. The organization of stromal and glandular breast tissue subtypes plays a crucial role in influencing tumor invasion dynamics. However, there has been limited research on mammographic subtypes of dense tissue and their potential links to risk. In the original R15 funding period the PI and his team showed that they can segregate mammographic dense tissue into two textural subtypes: active dense tissue, which is structurally reorganizing and links to cancer dynamics, versus passive dense tissue. More recently, they found that tissue restructuring associated with early tumor onset may be detectable via computational mammography prior to radiological diagnosis. The original R15 grant helped show that the amounts and temporal change of mammographic dense tissue subtypes may influence cancer risk. In this renewal, a novel and powerful computational technique is proposed to complement the textural analysis for mammogram and also for histology whole slide imaging both proximal and distal to the tumor and for several tumor subtypes. The proposed research will advance the education and career preparation of undergraduates within Maine’s only biomedical engineering program, nurture a growing partnership among the University of Maine, Spectrum Healthcare Partners and Maine Medical Research Institute, introduce two UMaine faculty to biomedical research, and support the early career development of two assistant professors.


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 = $436,123 )
2025	2025	UNIVERSITY OF MAINE SYSTEM	5717 CORBETT HALL	ORONO	ME	04469	PENOBSCOT	USA	Cancer Biology Research	001	2	1/20/2025	COMPETING CONTINUATION	$440,561
2025	2020	UNIVERSITY OF MAINE SYSTEM	5717 CORBETT HALL	ORONO	ME	04469	PENOBSCOT	USA	Cancer Biology Research	000	1	12/17/2024	NEW	-$4,438
														Subtotal = $436,123

Issue Date FY: 2023 ( Subtotal = $0 )
2023	2020	UNIVERSITY OF MAINE SYSTEM	5717 CORBETT HALL RM 422	ORONO	ME	04469	PENOBSCOT	USA	Cancer Biology Research	000	1	9/8/2023	NEW	$0
														Subtotal = $0

Issue Date FY: 2020 ( Subtotal = $418,484 )
2020	2020	UNIVERSITY OF MAINE SYSTEM	5717 CORBETT HALL RM 422	ORONO	ME	04469	PENOBSCOT	USA	Cancer Biology Research	000	1	9/7/2020	NEW	$418,484
														Subtotal = $418,484

Grand Total All Awards = $854,607

Top

All Categories

About

Search

Reports

Data Submission

Award Information

Multiscale anisotropy analysis of breast tissue subtypes from mammography and pathology

Award Number: R15CA246335

ORGANIZATION: NATIONAL CANCER INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

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

PERIOD OF PERFORMANCE START DATE: 09/07/2020

PERIOD OF PERFORMANCE END DATE: 01/31/2028

Federal Websites

Department of Health & Human Services

HHS Operating Divisions

HHS Staff Divisions

Download A Document Viewer