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Automated interactive definition of the clinical target volume in radiation oncology

Award Number: R01CA266275
ORGANIZATION: NATIONAL CANCER INSTITUTE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 01/06/2022
PERIOD OF PERFORMANCE END DATE: 12/31/2026

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Automated interactive definition of the clinical target volume in radiation oncology - Abstract Identifying the appropriate clinical target volume (CTV) to capture microscopic disease is the greatest limitation in clinical radiotherapy in efforts to offer maximally conformal treatment to minimize radiation associated toxicity. The challenge of defining the CTV comes from inherent uncertainty in the tumor spread beyond the visible gross tumor volume (GTV). Delineation of the CTV is a laborious manual process. Furthermore, there exists a practical disconnect between CTV contouring and the subsequent treatment plan dose optimization. Exploration of the real tradeoff between covering malignancy with the dose effective for tumor control and delivering potentially toxic dose to surrounding healthy tissues is currently impossible. The broad long-term goal of this project is to make CTV definition easier and better. We will focus on two challenging disease sites, glioma and sarcoma. Our methods can be generalized to essentially all other disease sites. The first aim is to automate CTV definition. This will be accomplished by machine learning of barrier structures and anatomic domains that are known to affect the spread of tumor beyond the visible GTV. The CTV will be expanded in 3D taking the preferred direction of spread in the different anatomic domains (such as spread along muscle fibers) into account. The second aim is to develop a user interface that lets the user interact with the automatic CTV definition system, to avoid a black box impression. The user can edit the auto generated contour if necessary. Any changes will be logged and used to retrain the system. The CTV expansion will be integrated in a multi- criteria optimization system for treatment planning, where the user can interactively explore the dosimetric impact of CTV expansion on the dose coverage of the tumor and dose burden in normal structures. In the third aim we will test the hypotheses that this system will lead to a more consistent definition of the CTV, better time efficiency, and better treatment plans leading to provable improvements of the expected clinical outcome. We will make the system available as a standalone system to academic users and hospitals.


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: 2026 ( Subtotal = $312,887 )
2026	2026	THE GENERAL HOSPITAL CORPORATION	55 FRUIT ST	BOSTON	MA	02114	SUFFOLK	USA	Cancer Treatment Research	000	5	3/9/2026	NON-COMPETING CONTINUATION	$312,887
														Subtotal = $312,887

Issue Date FY: 2025 ( Subtotal = $281,599 )
2025	2025	THE GENERAL HOSPITAL CORPORATION	55 FRUIT ST	BOSTON	MA	02114	SUFFOLK	USA	Cancer Treatment Research	000	4	1/15/2025	NON-COMPETING CONTINUATION	$281,599
														Subtotal = $281,599

Issue Date FY: 2024 ( Subtotal = $297,243 )
2024	2024	THE GENERAL HOSPITAL CORPORATION	55 FRUIT ST	BOSTON	MA	02114	SUFFOLK	USA	Cancer Treatment Research	000	3	1/10/2024	NON-COMPETING CONTINUATION	$281,599
2024	2024	THE GENERAL HOSPITAL CORPORATION	55 FRUIT ST	BOSTON	MA	02114	SUFFOLK	USA	Cancer Treatment Research	001	3	4/24/2024	NON-COMPETING CONTINUATION	$15,644
														Subtotal = $297,243

Issue Date FY: 2023 ( Subtotal = $306,630 )
2023	2023	THE GENERAL HOSPITAL CORPORATION	55 FRUIT ST	BOSTON	MA	02114	SUFFOLK	USA	Cancer Treatment Research	001	2	9/14/2023	NON-COMPETING CONTINUATION	$25,031
2023	2023	THE GENERAL HOSPITAL CORPORATION	55 FRUIT ST	BOSTON	MA	02114	SUFFOLK	USA	Cancer Treatment Research	000	2	1/13/2023	NON-COMPETING CONTINUATION	$281,599
														Subtotal = $306,630

Issue Date FY: 2022 ( Subtotal = $329,887 )
2022	2022	MASSACHUSETTS GENERAL HOSPITAL, THE	55 FRUIT ST	BOSTON	MA	02114	SUFFOLK	USA	Cancer Treatment Research	000	1	1/6/2022	NEW	$329,887
														Subtotal = $329,887

Grand Total All Awards = $1,528,246

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Automated interactive definition of the clinical target volume in radiation oncology

Award Number: R01CA266275

ORGANIZATION: NATIONAL CANCER INSTITUTE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

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

PERIOD OF PERFORMANCE START DATE: 01/06/2022

PERIOD OF PERFORMANCE END DATE: 12/31/2026

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