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Quantitative imaging and molecular data modeling for brain tumor recurrence and progression analysis

Award Number: R01EB020683
ORGANIZATION: NATIONAL INSTITUTE Of BIOMEDICAL IMAGING & BIOENGINEERING
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 06/01/2016
PERIOD OF PERFORMANCE END DATE: 07/31/2029

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Quantitative imaging and molecular data modeling for brain tumor recurrence and progression analysis - Project Summary/Abstract The overall prognosis for Glioblastoma Multiforme (GBM) brain tumors is extremely poor with a median survival of about one year from diagnosis and five-year survival rates of only 6.9%. Multiple biological characteristics contribute to the lethality of GBM including rapid, uncontrolled proliferation throughout the restricted cranial space supported by their pro-angiogenic nature and ability to rapidly develop therapeutic resistance resulting in tumor recurrence (TR). Identification of early TR is complicated by chemoradiation induced toxicity which can present initially as pseudo-progression and later as radiation necrosis (RN) condition that occurs in 25% of all GBM. Currently, invasive stereotactic brain biopsy at the site of suspicion remains the only resort for TR confirmation. This proposed renewal study will develop novel computational models and AI methods for analyzing brain TR, radiation necrosis (RN) and postoperative rapid early progression (REP); and to rigorously validate the models using both in-house and public domain patient data in collaboration with the ReSPOND consortium. This goal will be accomplished via the following aims: (1) Multi-center multimodal patient data collection, data harmonization, and robust TR, edema and RN volume segmentation and tracking; (2) Co-analysis of imaging and molecular features for TR and progression analysis; (3) Explainable AI modeling with uncertainty analysis to understand TR and progression; and (4) Evaluation and cross-validation of the proposed methods. The proposed co-analysis of radiomics, proteomics, and histopathology data is expected to enable robust TR, progression and REP analysis that may be critical to stratification of aggressive versus non-aggressive brain tumors for patients, with the potential for targeted therapy transcending the current limitations of the one-size- fits-all radiation treatment planning paradigm. In our parent R01 project, we made considerable progress in: (i) addressing critical barriers related to brain tumor volume segmentation, tumor growth tracking, glioma diagnosis and grading; (ii) GBM patient survival prediction using multi-modal radiology, molecular and histopathology patient data; (iii) molecular prediction of diffuse low-grade glioma using advanced radiomics features; and (iv) prediction of low-grade glioma progression using radiomics features. Recently, we showed the feasibility of multiresolution radiomics texture features to discriminate TR from RN. Very recently, our pilot study showed the feasibility of quantitative co-analysis of radiomics, proteomic and clinical patient data for REP and patient survivability prediction. Furthermore, we have been consistently ranked among the top teams in Global Challenges on Brain Tumor Segmentation (BRaTS), Brain Ischemic Segmentation, and Patient Survivability Prediction since 2013. These advances will be foundational in achieving the aims of this proposed study.


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 = $634,465 )
2025	2025	OLD DOMINION UNIVERSITY	HAMPTON BLVD	NORFOLK	VA	23529	NORFOLK CITY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	5	8/4/2025	COMPETING CONTINUATION	$634,465
														Subtotal = $634,465

Issue Date FY: 2024 ( Subtotal = -$163,431 )
2024	2019	OLD DOMINION UNIVERSITY	HAMPTON BLVD	NORFOLK	VA	23529	NORFOLK CITY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	002	4	10/19/2023	SUPPLEMENT FOR EXPANSION	-$31,046
2024	2019	OLD DOMINION UNIVERSITY	HAMPTON BLVD	NORFOLK	VA	23529	NORFOLK CITY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	001	4	10/19/2023	SUPPLEMENT FOR EXPANSION	-$48,807
2024	2019	OLD DOMINION UNIVERSITY	HAMPTON BLVD	NORFOLK	VA	23529	NORFOLK CITY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	4	10/19/2023	NON-COMPETING CONTINUATION	-$83,578
														Subtotal = -$163,431

Issue Date FY: 2022 ( Subtotal = $0 )
2022	2019	OLD DOMINION UNIVERSITY	5115 HAMPTON BLVD	NORFOLK	VA	23529	NORFOLK CITY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	4	2/17/2022	NON-COMPETING CONTINUATION	$0
														Subtotal = $0

Issue Date FY: 2021 ( Subtotal = $0 )
2021	2019	OLD DOMINION UNIVERSITY	5115 HAMPTON BLVD	NORFOLK	VA	23529	NORFOLK CITY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	4	1/7/2021	NON-COMPETING CONTINUATION	$0
														Subtotal = $0

Issue Date FY: 2020 ( Subtotal = $0 )
2020	2019	OLD DOMINION UNIVERSITY	5115 HAMPTON BLVD	NORFOLK	VA	23529	NORFOLK CITY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	4	11/6/2019	SUPPLEMENT FOR EXPANSION	$0
														Subtotal = $0

Issue Date FY: 2019 ( Subtotal = $782,171 )
2019	2019	OLD DOMINION UNIVERSITY	5115 HAMPTON BLVD	NORFOLK	VA	23529	NORFOLK CITY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	002	4	9/19/2019	SUPPLEMENT FOR EXPANSION	$148,583
2019	2019	OLD DOMINION UNIVERSITY	5115 HAMPTON BLVD	NORFOLK	VA	23529	NORFOLK CITY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	4	4/24/2019	NON-COMPETING CONTINUATION	$400,000
2019	2019	OLD DOMINION UNIVERSITY	5115 HAMPTON BLVD	NORFOLK	VA	23529	NORFOLK CITY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	001	4	9/18/2019	SUPPLEMENT FOR EXPANSION	$233,588
														Subtotal = $782,171

Issue Date FY: 2018 ( Subtotal = $446,500 )
2018	2018	OLD DOMINION UNIVERSITY	5115 HAMPTON BLVD	NORFOLK	VA	23529	NORFOLK CITY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	3	3/22/2018	NON-COMPETING CONTINUATION	$359,999
2018	2018	OLD DOMINION UNIVERSITY	5115 HAMPTON BLVD	NORFOLK	VA	23529	NORFOLK CITY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	002	3	8/30/2018	SUPPLEMENT FOR EXPANSION	$46,500
2018	2018	OLD DOMINION UNIVERSITY	5115 HAMPTON BLVD	NORFOLK	VA	23529	NORFOLK CITY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	001	3	4/14/2018	NON-COMPETING CONTINUATION	$40,001
														Subtotal = $446,500

Issue Date FY: 2017 ( Subtotal = $400,000 )
2017	2017	OLD DOMINION UNIVERSITY	5115 HAMPTON BLVD	NORFOLK	VA	23529	NORFOLK CITY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	2	2/17/2017	NON-COMPETING CONTINUATION	$360,000
2017	2017	OLD DOMINION UNIVERSITY	5115 HAMPTON BLVD	NORFOLK	VA	23529	NORFOLK CITY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	001	2	6/9/2017	NON-COMPETING CONTINUATION	$40,000
														Subtotal = $400,000

Issue Date FY: 2016 ( Subtotal = $400,000 )
2016	2016	OLD DOMINION UNIVERSITY RESEARCH FOUNDATION	P.O. BOX 6369	NORFOLK	VA	23508	NORFOLK CITY	USA	Discovery and Applied Research for Technological Innovations to Improve Human Health	000	1	5/24/2016	NEW	$400,000
														Subtotal = $400,000

Grand Total All Awards = $2,499,705

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Quantitative imaging and molecular data modeling for brain tumor recurrence and progression analysis

Award Number: R01EB020683

ORGANIZATION: NATIONAL INSTITUTE Of BIOMEDICAL IMAGING & BIOENGINEERING

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

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

PERIOD OF PERFORMANCE START DATE: 06/01/2016

PERIOD OF PERFORMANCE END DATE: 07/31/2029

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