Active Digestion, Kidneys & Other Organs NIHR-supported project Cancer

Intraoperative use of spectral imaging and Laser Speckle to detect colorectal cancer and provide quality assuranceduring surgery

In plain English

AI plain-English summary

Surgeons 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.

View original technical description
Imaging forms the central part of treatment decision-making in colorectal cancer (CRC) through the use of CT and/or MRI scans. The single most important component of successful treatment is removing the entire cancer at the time of surgery with a clear ‘margin’ – leaving no cancer behind. During surgery, there is currently no equivalent imaging modality that can be used intraoperatively and that is able to detect the position and presence of the tumour with the same level of accuracy as MRI/CT. This means that there is a risk of incomplete excision of the tumour and thus leaving the tumour behind which is associated with worse patient survival outcomes. Novel camera systems using Laser Speckle and Spectral technology are able to differentiate between different tissue types and physiological processes. Initial reports show the ability to detect blood flow in the bowel in animal models and humans. This technology may complement existing laparoscopic and robotic camera systems to provide additional information on bowel perfusion and cancer detection.

Researchers

Manish Chand (Principal Investigator)

Related Research

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Intraoperative detection of colorectal cancer using multispectral imaging
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Point-of-care instrument for diagnosis and image-guided intervention of Colo-Rectal Cancer
Proof-of-Concept for an Intra-Operative Molecular Imaging Camera and Endoscope
Dynamic Peri-operative Cerenkov Luminescence Imaging for Robotic Assisted Surgery (EDCLIRS)

Original classification

Cancer

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