Published in Crosscut
When a doctor determines a patient has a brain tumor, the next step is usually surgery. Knife in hand, the surgeon is soon presented with an inevitable conundrum: how much is the right amount to cut away? Too little and, if the tumor is malignant, the patient will be subjected to more toxic chemotherapy or radiation than necessary. Too much, and the doctor will be slicing into healthy tissue—and possibly causing the patient undue brain damage. Yet this high-stakes surgical process can be surprisingly rudimentary. “Surgeons don’t have a very good way of knowing when they’re done cutting out a tumor,” Jonathan Liu, a University of Washington assistant professor of mechanical engineering, said in a press release. “They’re using their sense of sight, their sense of touch, pre-operative images of the brain—and oftentimes it’s pretty subjective.” Which is why research groups and companies around the world have been working to build technology that can distinguish between cancerous and non-cancerous cells, right in the operating room. A device developed by Liu’s UW research group, along with partners at the Memorial Sloan Kettering Cancer Center, Stanford University and the Barrow Neurological Institute, is on the frontlines. |
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