Patient-Specific Neuro-Oncology: Forecasting Tumor Growth and Recurrence in Individual Patients

Project: Research project

Description

This proposed work seeks to test the feasibility of a ``tumor forecast system'' to make short-term (2--4 month), clinically useful predictions of tumor progression in individual patients who have been diagnosed with glioblastoma multiforme brain tumors, the most common, aggressive, and lethal type of primary brain cancer in adults. If successful, our prototype could in the future become a useful clinical tool for the planning of radiotherapy and other treatment, by indicating where in the brain a
particular tumor may be likely to invade.
The project will apply partial differential equation models successfully used in previous studies with synthetic data and in a laboratory experiment with murine glioma.

This project is a collaboration between the School of Mathematical and Statistical Sciences at Arizona State University and the neurosurgical services at the Barrow Neurological Institute in Phoenix and the Mayo Clinic Arizona. The goals of the project are to create computational domains that approximate each individual patient's brain and tumor at initial diagnosis, and to run ensembles of mathematical models of tumor growth as the patient undergoes treatment to determine prospectively whether and how accurately the simulated tumors approximate the actual ones as observed under magnetic resonance imaging.

StatusActive
Effective start/end date3/1/172/28/20

Funding

  • Arizona Biomedical Research Commission: $749,830.00

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Recurrence
Brain Neoplasms
Growth
Neoplasms
Glioblastoma
Glioma
Theoretical Models
Radiotherapy
Magnetic Resonance Imaging
Brain
Therapeutics