[R01] Automated interactive definition of the clinical target volume in radiation oncology
Ente: National Cancer Institute
Scadenza: 2027-08-31
Importo max: $256,048
Paese: US
Descrizione
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,
low grade 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. We will make the system available as a stand-
alone system to academic users and hospitals.
Istituzione: DANA-FARBER CANCER INST
PI: THOMAS R. BORTFELD
Progetto: 7R01CA266275-06
Settori: National Cancer Institute
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