An artificial intelligence (AI) tool has emerged to help doctors fight aggressive brain tumors. It helps identify critical characteristics that provide guidance during surgery.
The Cryo Histopathology Assessment and Review Machine (CHARM) is an advanced tool that efficiently analyzes images to determine the genetic profile of gliomas, a type of aggressive brain tumor. Currently, this process takes days or weeks. Kun-Hsing Yu, lead author of July 7th a report At Med, he explained, surgeons rely on detailed diagnoses to guide their operations.
Although the tool’s accuracy may not match current genetic tests, it has the potential to quickly predict tumor profile. This quick analysis allows doctors to move forward with appropriate treatment without having to schedule and perform additional surgeries, saving valuable time, Yu explained.
In addition, CHARM can distinguish between malignant and benign tumor cells and determine the grade of the tumor, which indicates its level of aggressiveness. These are the evaluations that human pathologists usually make during surgery. However, according to Yu, CHARM can eliminate the need to wait 10 to 15 minutes or have a pathologist on standby during an operation.
Glioma, especially its aggressive subtype known as glioblastoma, poses a significant threat, with untreated cases leading to death in less than six months. Tragically, only 17% of individuals diagnosed with glioblastoma survive beyond the second year, as mentioned By the American Association of Neurological Surgeons.
Yu and his team trained a machine learning algorithm using images of brain surgery samples and validated its accuracy against a patient’s diagnosis. CHARM has demonstrated superior performance in tumor genetic profiling compared to other AI systems.
When making critical decisions about the extent of tissue removal and the potential use of drug-coated wafers in the treatment of glioma tumors, surgeons rely heavily on the tumor’s genetic profile. Unfortunately, getting this information is a very time consuming process at the moment.
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The research conducted by Yu and his team contributes to a comprehensive set of initiatives that use artificial intelligence to advance cancer diagnosis and treatment. In a notable editorial published In the June edition of The Lancet Oncology, the capabilities of some systems for the accurate identification of individuals at high risk for pancreatic, lung and breast cancers are emphasized.
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