3D in silico modelling of prostate cancer growth and treatment

Prostate cancer is a prominent cause of death in Canada. A better understanding of how prostate tumours grow and respond to treatment is vital; however, typical lab methods used to study cancer have key limitations. To compensate for these shortcomings, computational models have revolutionized the study of cancer. This research proposes modifying an existing 3D computational model of generic tumour growth and specifying the model to describe the growth and treatment of prostate tumours with systemic and radiation treatments. There are few existing 3D computational models of prostate cancer growth and treatment, and none use the type of model being proposed. This research will result in a model that researchers may use to study various prostate cancer treatment methods and schedules. Eventually, clinicians could use this model for patient specific treatment planning by using the proposed methods with a patient’s biopsy results to produce a unique model for each patient.

Faculty Supervisor:

Ernest Osei;Kostadinka Bizheva

Student:

Partner:

Grand River Hospital

Discipline:

Physics

Sector:

Health and Related Sciences & Technology; Professional, scientific and technical services

University:

University of Waterloo

Program: