World First: AI Helps Surgeons Successfully Remove Brain Tumor and Restore Vision
- Hibbert, a customer service manager and father of two, maintained good health until experiencing a loss of consciousness and a seizure while walking more than three kilometers daily,...
- During the operation, surgeons inserted an endoscope through Hibbert's nose to reach the base of the skull, where the tumor lay concealed behind bone and a tough membrane.
- Pituitary tumor surgeries carry notable anatomical risks due to individual variations in patient structure.
Patient Background and Diagnosis
Hibbert, a customer service manager and father of two, maintained good health until experiencing a loss of consciousness and a seizure while walking more than three kilometers daily, according to the BBC and Yahoo. Subsequent brain scans identified an 11-millimeter benign tumor growing in his pituitary gland, a marble-sized organ located at the base of the skull. The gland regulates vital hormones including growth, metabolism, blood pressure, and body temperature. Because the pituitary gland sits near the carotid arteries and optic nerves, the tumor’s growth gradually restricted Hibbert’s peripheral vision, leading to severe fatigue and dizziness.
How the AI Surgical Tool Operates
During the operation, surgeons inserted an endoscope through Hibbert’s nose to reach the base of the skull, where the tumor lay concealed behind bone and a tough membrane. To assist the medical team, researchers deployed a custom-built artificial intelligence tool that analyzed live video feeds from the procedure in real time, as detailed by the BBC and Yahoo. The technology tracks surgical instruments and highlights regions where critical blood vessels and nerves are likely hidden, marking safer pathways for tumor extraction. According to the BBC and Yahoo, average surgeons in the United Kingdom perform between 10 and 20 pituitary tumor operations annually, relying primarily on pre-surgical scans. The artificial intelligence system was trained on hundreds of recorded pituitary tumor removal videos, with researchers manually outlining blood vessels and nerve structures to guide the machine-learning model.
Clinical Risks and Patient Perspective
Pituitary tumor surgeries carry notable anatomical risks due to individual variations in patient structure. According to reporting from Yahoo, medical estimates indicate a probability of failing to completely remove the tumor, alongside a chance of injuring a major blood vessel. Hibbert chose to participate as the first human patient for the AI-assisted procedure to advance medical research.
“From the point of view of the patient safety, I absolutely see the benefit. We don’t have traffic signs to guide us inside the head,”
Rhys Hibbert told the BBC and Yahoo.
Hibbert also noted his motivation to contribute to medical progress, stating to the BBC and Yahoo, If patients aren’t willing to participate in the research, how are doctors going to learn and how can medicine progress?
The successful extraction allowed doctors to remove the majority of the tumor safely while avoiding the surrounding critical neurovascular structures.