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.

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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
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article

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

Piravin Kumar Ramakrishnan, Dharsshini Reveendran, Richard Digby, Rohitashwa Sinha et al.
Neurosurgical Review
Glioma Diagnosis and Treatment
article

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

Piravin Kumar Ramakrishnan, Dharsshini Reveendran, Richard Digby, Rohitashwa Sinha, Vassili Crispi, Oluwaseyi Adebola, Ryan K. Mathew, William S. Bolton, Arundhati Chakrabarty
article en

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.

Neurosurgical ReviewVol. 49(1)
University of Leeds (GB), Leeds Teaching Hospitals NHS Trust (GB), St James's University Hospital (GB)
Openalex Percentile: Top 54%
Glioma Diagnosis and Treatment
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