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 language | English |
|---|---|
| Article number | 228 |
| Number of pages | 9 |
| Journal | Neurosurgical Review |
| Volume | 49 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 17 Feb 2026 |
Bibliographical note
Publisher Copyright:© The Author(s) 2026.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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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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