The feasibility and accuracy of real-time intra-operative confocal tissue diagnosis in brain and spine cancer surgery
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.
Authors
- Piravin Kumar Ramakrishnan (ORCID: https://orcid.org/0000-0002-1068-8481)
- Dharsshini Reveendran (ORCID: https://orcid.org/0000-0002-4392-3708)
- Richard Digby (ORCID: https://orcid.org/0000-0001-9733-4741)
- Rohitashwa Sinha (ORCID: https://orcid.org/0000-0001-6459-4141)
- Vassili Crispi
- Oluwaseyi Adebola
- Ryan K. Mathew
- William S. Bolton
- Arundhati Chakrabarty
Institutions
- University of Leeds (GB)
- Leeds Teaching Hospitals NHS Trust (GB)
- St James's University Hospital (GB)
Publication Details
- Journal
- Neurosurgical Review
- Published
- 2026-02-17
- DOI
- https://doi.org/10.1007/s10143-025-04083-y
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00