Adaptive Radiation Therapy for Cervix Cancer with Stochastic Model for Tumour Evolution

The goal of this project is to develop new models to optimize the treatment of cervix cancer

using radiation therapy. We will develop two models to achieve this goal. The first model will

model the uncertain nature of the tumour evolution as a function of time, which will help us

predict the position, shape, and size of the tumour. This model will be validated using data

from our collaborators at Princess Margaret Hospital. The tumour evolution model will then

be used to support the development of a new adaptive optimization model to determine when

and how to re-optimize multi-week treatments. Treatments are delivered over multiple weeks

and the tumour’s geometry may change significantly over this time period. By incorporating a

model that describes the tumour changes into the optimization process, we will improve

treatments for patients, while reducing the use of expensive imaging resources at the

hospital.

Faculty Supervisor:

Timothy Chan;TBD

Student:

Partner:

University of Toronto

Discipline:

Engineering

Sector:

Agriculture; Education

University:

University of Toronto

Program:

Accelerate

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