Algorithm uses fluid flow to predict where deadly brain cancer may spread next

Glioblastoma is a devastatingly effective brain cancer. Doctors can cut it out or blast it with radiation, but that only buys time. The cancer has an insidious ability to hide enough tumor cells in tissue around the tumor to allow it to return as deadly as ever.

Patients diagnosed with glioblastoma survive for an average of 15 months.

What’s needed is a better way of identifying those hidden cancer cells and predicting where the tumor might grow next. Jennifer Munson believes she and her research team at the Fralin Biomedical Research Institute at VTC have developed a tool to do just that.

Their method, described in npj Biomedical Innovations, combines magnetic resonance imaging, Munson’s in-depth knowledge of how fluid moves through human tissues, and an algorithm Munson’s team developed to identify and predict where the cancer might reappear.

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