Intraoperative use of spectral imaging and Laser Speckle to detect colorectal cancer and provide quality assuranceduring surgery
In plain English
AI plain-English summarySurgeons removing colorectal cancer currently have no way to see, in real time, whether they have cut out the entire tumour. Before an operation, CT and MRI scans can pinpoint a cancer with high accuracy, but once the patient is on the table, the surgeon must rely on touch and visual inspection alone. This means there is a real risk of leaving cancer behind, which worsens survival outcomes. The research will test whether two camera technologies—Laser Speckle, which detects blood flow, and spectral imaging, which distinguishes different tissue types—can be added to existing laparoscopic and robotic systems. If successful, the approach would give surgeons live feedback on bowel perfusion and tumour location during the operation itself. That could reduce the rate of incomplete excisions and the need for repeat surgeries, improving long-term survival for colorectal cancer patients. The work is applied and directly addresses a practical gap in surgical care.
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