Evidence map›Paper›PMID 41699335›Full record

Observational studyNeurosurgical review2026

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

Abstract readObservational Study
In one paragraph

Observational study in Neurosurgical review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

William S Bolton *Leeds Institute of Medical Research at St James's, School of Medicine, University of Leeds, Leeds, LS9 7FT, United Kingdom. w.s.bolton@leeds.ac.uk.
Oluwaseyi Adebola *Department of Neurosurgery, Centre for Neurosciences, Leeds Teaching Hospitals NHS Trust, Leeds, LS1 3EX, United Kingdom.
Piravin K RamakrishnanLeeds Institute of Medical Research at St James's, School of Medicine, University of Leeds, Leeds, LS9 7FT, United Kingdom.
Dharsshini ReveendranLeeds Institute of Medical Research at St James's, School of Medicine, University of Leeds, Leeds, LS9 7FT, United Kingdom.
Vassili CrispiLeeds Institute of Medical Research at St James's, School of Medicine, University of Leeds, Leeds, LS9 7FT, United Kingdom.
Richard DigbyDepartment of Histopathology, Leeds Teaching Hospitals NHS Trust, Leeds, LS1 3EX, United Kingdom.
Rohitashwa SinhaLeeds Institute of Medical Research at St James's, School of Medicine, University of Leeds, Leeds, LS9 7FT, United Kingdom.
Arundhati ChakrabartyDepartment of Histopathology, Leeds Teaching Hospitals NHS Trust, Leeds, LS1 3EX, United Kingdom. arundhati.chakrabarty@nhs.net.
Ryan K MathewLeeds Institute of Medical Research at St James's, School of Medicine, University of Leeds, Leeds, LS9 7FT, United Kingdom. r.k.mathew@leeds.ac.uk.ORCID https://orcid.org/0000-0002-2609-9876

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Brain NeoplasmsSpinal Cord NeoplasmsAdultAgedFeasibility StudiesFemaleHumansMaleMicroscopy, ConfocalMiddle AgedNeurosurgical ProceduresConfocal microscopyHistopathologyIntraoperative diagnosisNeurooncologyNeurosurgeryTumour

Identifiers

PMID41699335
PMCPMC12909334

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.