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The feasibility and accuracy of real-time intra-operative confocal tissue diagnosis in brain and spine cancer surgery

  • William S. Bolton*
  • , Oluwaseyi Adebola
  • , Piravin K. Ramakrishnan
  • , Dharsshini Reveendran
  • , Vassili Crispi
  • , Richard Digby
  • , Rohitashwa Sinha
  • , Arundhati Chakrabarty*
  • , Ryan K. Mathew*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Real-time intra-operative brain tumour tissue analysis can reduce turnaround times and enable repeated sampling, enhancing diagnostic accuracy and guiding resection. We investigated the use of an ultra-fast confocal microscopy scanner (Histolog®, SamanTree Medical SA) for real-time brain tumour tissue diagnosis. This study aims to demonstrate Histolog®’s diagnostic accuracy in a cohort of brain or spinal cord tumour patients. A single-group, observational study included adult patients undergoing tissue biopsies or tumour debulking surgery. Multiple, freshly excised tissue samples were stained and imaged within 60 seconds using Histolog® alongside standard diagnostic methods. A Consultant Neuropathologist performed a blinded concordance analysis. Of 47 specimens, 94% produced interpretable images during surgery. Histolog® images enabled real-time tumour cell identification in all specimens and matched gold standard diagnoses in 68% of cases. Histolog® demonstrated rapid intraoperative imaging with diagnostic performance for tumour presence that was comparable to existing intraoperative methods in this small cohort, while exact histological concordance was lower (68%). Future studies will explore real-time margin zone analysis and machine learning for automatic diagnosis.

Original languageEnglish
Article number228
Number of pages9
JournalNeurosurgical Review
Volume49
Issue number1
DOIs
Publication statusPublished - 17 Feb 2026

Bibliographical note

Publisher Copyright:
© The Author(s) 2026.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Confocal microscopy
  • Histopathology
  • Intraoperative diagnosis
  • Neurooncology
  • Neurosurgery
  • Tumour

ASJC Scopus subject areas

  • Surgery
  • Clinical Neurology

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