Brain surgery is getting smarter. The journal Nature Medicine recently
published a study that found a new imaging technique that allows pathologists
to diagnose
brain tumors faster and more accurately than ever before.
The study focused on Invenio Imaging technology’s use of artificial
intelligence (AI) in making accurate diagnoses. So, will computers replace
doctors? That’s unlikely. Treating the human brain requires a human
approach. But AI is poised to become an invaluable tool in improving a
physician’s ability to make an accurate diagnosis, predict future
issues, and come up with minimally invasive surgical plans.
Because different types of tissue scatter light in distinctive ways, a
computer can process the light and generate an image that is clear and
precise. Plus, the laser technique processes the image in 90 seconds,
compared to the 30 minutes it takes to freeze, stain, and assess the tissue
in the lab through the traditional method.
This gives surgeons a more complete pathology report in real-time, allowing
us to make the critical decision about what to remove and how much. This
speeds surgical procedures, decreasing anesthesia time for the patient,
can have important implications for survival, and lower costs.
In other areas of the body, surgeons remove “margins,” healthy
tissue that surrounds the tumor, to provide some assurance that the entire
tumor has been removed because they do not have access to real-time tissue
sampling in the OR. But in brain surgery, we can’t do that. We don’t
want to remove a person’s memory of their children or their ability
to speak French just to make sure enough margin has been removed and make
sure that all the tumor tissue is included. By providing near “real-time”
tissue diagnosis, the combination of Simulated Raman Histology with AI
allows surgeons to rapidly distinguish between tumor and normal brain
as they are operating, a distinction not easily made by the naked eye.
This new technology will assure the optimal extent of tumor resection
while sparing normal adjacent brain.
AI also has the upper hand in that computer programs don’t get distracted
or fatigued, and they can pull from millions of records and histories
to make predictions. At the same time, AI’s predicted outcomes,
life expectancy,
cancer risks, and recurrence rates do not constitute care. While I am excited
for what AI means for medicine, I believe that it requires expert physicians
and specialists for AI to make a meaningful difference in patient care.
For patients with brain tumors, it is critical to come to a center that
not only has the latest technologies but also has the most skilled specialists
trained in how to best use them to ensure the greatest possible outcomes.
AI is making brain surgery smarter and faster. But it is up to skilled
and compassionate specialists to make sure that “smarter”
means “better” for the patients we are trying to help.
Robert Louis is a neurosurgeon and director, Skull Base and Pituitary Tumor Program,
Pickup Family Neurosciences Institute,
Hoag Memorial Hospital Presbyterian, Newport Beach, CA.
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here.