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

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Authors: William Stephen Bolton, Oluwaseyi Adebola, Piravin Kumar Ramakrishnan, Dharsshini Reveendran, Vassili Crispi, Richard John Digby, Rohitashwa Sinha, Arundhati Chakrabarty, Ryan K. Mathew
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References: 9

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.

Fields of Study & Subjects

Glioma Diagnosis and Treatment Optical Imaging and Spectroscopy Techniques Spectroscopy Techniques in Biomedical and Chemical Research

Publication details

Journal / source
Neurosurgical Review
Volume
49
Issue
1
Pages
228–228
Publication date
17 February 2026
Language
EN