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Computational modeling of tumor burden by CT to advance cancer therapeutics

Award Number: R01CA194783
ORGANIZATION: NATIONAL CANCER INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 04/22/2015
PERIOD OF PERFORMANCE END DATE: 03/31/2022

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Computational modeling of tumor burden by CT to advance cancer therapeutics - DESCRIPTION (provided by applicant): The goal of this research is to develop a prototype tool that will ultimately improve cancer therapy. A major bottleneck in testing new cancer drugs is in the early phases of assessing drug activity, typically in phase II trials. The tool will combne computational methods of assessing cancer patients' tumor burden on CT images with new computational models of tumor growth over time. This systematic project will combine expertise among academic physician scientists in clinical pharmacology, oncology, and imaging with industry computational pharmacologists to develop a prototype tool for analyzing tumor burden and designing new, more efficient, clinical trials that could reduce the number of patients needed to test a new drug. This tool is also expected to enable investigators to better identify subsets of patients who are having greater benefits from treatment than others. Aim 1 entails computing the volume of tumors (rather than just single longest dimensions) for more than 900 patients each with colorectal cancer, lung cancer, and renal cancer and then establishing new longitudinal models of tumor growth based on the volumetric assessments. Aim 2 will project the earliest time points at which the tumor volume measurements detect treatment effects, simulate clinical trials based on the data in Aim 1 and validate the findings with prospective study of 90 cancer patients. Based on these findings, in Aim 3 the investigators will test the prototype tool by conducting prospective phase II trials with the new volumetric assessment and computational modeling-based study designs. As CT is the most common imaging modality for cancer, the new algorithms run on popular imaging platforms could then be readily implemented on a large scale.


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 = -$53,889 )
2023	2020	INOVA HEALTH CARE SERVICES	8095 INNOVATION PARK DR	FAIRFAX	VA	22031	FAIRFAX	USA	Cancer Detection and Diagnosis Research	000	6	10/11/2022	NON-COMPETING CONTINUATION	-$53,889
														Subtotal = -$53,889

Issue Date FY: 2020 ( Subtotal = $558,237 )
2020	2020	INOVA HEALTH CARE SERVICES	8110 GATEHOUSE RD STE 200E	FALLS CHURCH	VA	22042	FAIRFAX	USA	Cancer Detection and Diagnosis Research	000	6	3/17/2020	NON-COMPETING CONTINUATION	$558,237
														Subtotal = $558,237

Issue Date FY: 2019 ( Subtotal = $556,187 )
2019	2019	INOVA HEALTH CARE SERVICES	8110 GATEHOUSE RD STE 200E	FALLS CHURCH	VA	22042	FAIRFAX	USA	Cancer Detection and Diagnosis Research	000	5	3/7/2019	NON-COMPETING CONTINUATION	$556,187
2019	2015	UNIVERSITY OF CHICAGO, THE	5801 S ELLIS AVE	CHICAGO	IL	60637	COOK	USA	Cancer Detection and Diagnosis Research	001	1	9/24/2019	NEW	$0
														Subtotal = $556,187

Issue Date FY: 2018 ( Subtotal = $573,026 )
2018	2018	INOVA HEALTH CARE SERVICES	8110 GATEHOUSE RD STE 200E	FALLS CHURCH	VA	22042	FAIRFAX	USA	Cancer Detection and Diagnosis Research	001	4	5/31/2018	NON-COMPETING CONTINUATION	$57,487
2018	2018	INOVA HEALTH CARE SERVICES	8110 GATEHOUSE RD STE 200E	FALLS CHURCH	VA	22042	FAIRFAX	USA	Cancer Detection and Diagnosis Research	000	4	3/21/2018	NON-COMPETING CONTINUATION	$515,539
														Subtotal = $573,026

Issue Date FY: 2017 ( Subtotal = $0 )
2017	2016	UNIVERSITY OF CHICAGO, THE	5801 S ELLIS AVE	CHICAGO	IL	60637	COOK	USA	Cancer Detection and Diagnosis Research	000	2	5/24/2017	NON-COMPETING CONTINUATION	-$579,655
2017	2016	INOVA HEALTH CARE SERVICES	8110 GATEHOUSE RD STE 200E	FALLS CHURCH	VA	22042	FAIRFAX	USA	Cancer Detection and Diagnosis Research	004	3	6/7/2017	CHANGE OF GRANTEE / TRAINING INSTITUTION / AWARDING INSTITUTION	$134,295
2017	2016	INOVA HEALTH CARE SERVICES	8110 GATEHOUSE RD STE 200E	FALLS CHURCH	VA	22042	FAIRFAX	USA	Cancer Detection and Diagnosis Research	001	3	5/24/2017	CHANGE OF GRANTEE / TRAINING INSTITUTION / AWARDING INSTITUTION	$579,655
2017	2016	UNIVERSITY OF CHICAGO, THE	5801 S ELLIS AVE	CHICAGO	IL	60637	COOK	USA	Cancer Detection and Diagnosis Research	003	2	6/7/2017	NON-COMPETING CONTINUATION	-$1,852
2017	2015	UNIVERSITY OF CHICAGO, THE	5801 S ELLIS AVE	CHICAGO	IL	60637	COOK	USA	Cancer Detection and Diagnosis Research	002	1	6/7/2017	NEW	-$132,443
														Subtotal = $0

Issue Date FY: 2016 ( Subtotal = $581,507 )
2016	2016	UNIVERSITY OF CHICAGO	1225 EAST 60TH ST	CHICAGO	IL	60637	COOK	USA	Cancer Detection and Diagnosis Research	000	2	3/25/2016	NON-COMPETING CONTINUATION	$581,507
														Subtotal = $581,507

Issue Date FY: 2015 ( Subtotal = $613,155 )
2015	2015	UNIVERSITY OF CHICAGO	1225 EAST 60TH ST	CHICAGO	IL	60637	COOK	USA	Cancer Detection and Diagnosis Research	000	1	4/22/2015	NEW	$613,155
														Subtotal = $613,155

Grand Total All Awards = $2,828,223

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Computational modeling of tumor burden by CT to advance cancer therapeutics

Award Number: R01CA194783

ORGANIZATION: NATIONAL CANCER INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

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

PERIOD OF PERFORMANCE START DATE: 04/22/2015

PERIOD OF PERFORMANCE END DATE: 03/31/2022

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