TumourVue v0.1

  • Research type

    Research Study

  • Full title

    TumourVue: Precise Intraoperative Tumour Localisation

  • IRAS ID

    355267

  • Contact name

    Gita Khalili Moghaddam

  • Contact email

    gk320@cam.ac.uk

  • Sponsor organisation

    University of Cambridge

  • Duration of Study in the UK

    0 years, 7 months, 22 days

  • Research summary

    Brain tumours are among the most aggressive and life-threatening cancers, with glioblastoma being the most common and deadly form. Surgery remains the cornerstone of treatment, but precise tumour removal is challenging due to the tumour's invasive nature. Incomplete removal can lead to tumour recurrence and reduced survival rates.

    This secondary analysis of the TumourVue study aims to use advanced computer vision tools to process previously collected imaging data. Data were gathered intraoperatively using long-wavelength passive infrared (LWpIR) and visible light cameras. The objective is to segment tumour regions on LWpIR images and compare them with visible light imaging to assess potential benefits of thermal imaging in tumour localisation.

    Since the primary ethics approval for data collection has been completed, this request pertains only to the secondary analysis of anonymised imaging data. No new patient involvement or data collection will occur. The image processing will be performed using machine learning and image segmentation techniques to determine the effectiveness of LWpIR imaging in delineating tumour margins compared to standard visible light imaging.

    The original TumourVue study was sponsored by Cambridge University Hospitals NHS Foundation Trust and funded by MedTech Accelerator. This secondary analysis is sponsored by the University of Cambridge only. This study complies with all ethical and data protection regulations, ensuring that patient confidentiality is strictly maintained. All analysis will be conducted using anonymised data on secure, offline systems to prevent unauthorised access.

    The potential benefits include improved tumour margin detection, enhanced computer-aided surgical decision-making, and the development of more precise imaging-based surgical techniques. If successful, this analysis could pave the way for future clinical applications of LWpIR imaging in brain tumour surgery, ultimately improving patient outcomes.

  • REC name

    North of Scotland Research Ethics Committee 2

  • REC reference

    25/NS/0022

  • Date of REC Opinion

    26 Feb 2025

  • REC opinion

    Favourable Opinion