Real-time classification of tumour and non-tumour tissue in colorectal cancer using diffuse reflectance spectroscopy and neural networks to aid margin assessment.

Journal: International journal of surgery (London, England)
PMID: 38241421

Abstract

BACKGROUND: Colorectal cancer is the third most commonly diagnosed malignancy and the second leading cause of mortality worldwide. A positive resection margin following surgery for colorectal cancer is linked with higher rates of local recurrence and poorer survival. The authors investigated diffuse reflectance spectroscopy (DRS) to distinguish tumour and non-tumour tissue in ex-vivo colorectal specimens, to aid margin assessment and provide augmented visual maps to the surgeon in real-time.

Authors

  • Scarlet Nazarian
    Department of Surgery and Cancer.
  • Ioannis Gkouzionis
    Department of Surgery and Cancer.
  • Jamie Murphy
    Department of Surgery and Cancer.
  • Ara Darzi
    Imperial College London London UK.
  • Nisha Patel
    The Hamlyn Centre, Institute of Global Health Innovation, St. Mary's Hospital, Imperial College London, London, UK. nishakpatel1@gmail.com.
  • Christopher J Peters
    Department of Surgery and Cancer.
  • Daniel S Elson
    The Hamlyn Centre for Robotic Surgery, Imperial College London, London, UK; Department of Surgery and Cancer, Imperial College London, London, UK. Electronic address: daniel.elson@imperial.ac.uk.

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