# The Diagnostic Value of Confocal Laser Endomicroscopy in Brain Tumours When Performed by Blinded, Untrained Neuropathologists

**Authors:** Ilona Iff, Marielena Gutt‐Will, Theoni Maragkou, Andrea Mathis, Kathleen Seidel, David Capper, Elisabeth G. Hain, Jenny Meinhardt, Regina Von Manitius, Carsten Dittmayer, Simone Schmid, Ekkehard Hewer, Andreas Raabe, Philippe Schucht

PMC · DOI: 10.1111/nan.70049 · 2026-01-16

## TL;DR

This study evaluates how well untrained neuropathologists can use confocal laser endomicroscopy (CLE) to diagnose brain tumors, finding it less accurate than traditional histology methods.

## Contribution

The study provides the first assessment of CLE's baseline diagnostic accuracy by untrained neuropathologists in a blinded setting.

## Key findings

- Untrained neuropathologists correctly identified neoplastic tissue in 70.7% of cases using CLE.
- H & E staining showed higher accuracy, correctly identifying neoplastic tissue in 87.6% of cases.
- Training in CLE image interpretation is recommended to improve diagnostic accuracy.

## Abstract

Achieving maximal and safe tumour resection is a key goal in brain tumour surgery. Confocal laser endomicroscopy (CLE) enables real‐time visualisation of the tissue microstructure at a cellular level, potentially helping neurosurgeons distinguish non‐neoplastic from neoplastic tissue. The core aim of this study was to determine the baseline diagnostic accuracy that can be achieved with CLE alone, when assessed by neuropathologists without prior CLE training and without any additional clinical or contextual information, and to compare these findings to standard haematoxylin and eosin (H & E)‐based histology in a blinded setting.

CLE images and corresponding H & E‐stained slides from 100 brain tumour patients treated at the University Hospital Bern over a 22‐month period were analysed. Five blinded neuropathologists with no prior CLE experience independently evaluated the data sets.

Based on CLE images, neuropathologists differentiated neoplastic from non‐neoplastic tissue in 70.7%. The specific tumour type was correctly identified in 47.5%: gliomas in 59.8%, meningiomas in 43.8%, and metastases in 25.7%. In contrast, H & E slides were correctly classified as neoplastic in 87.6%, with 89.1% tumour‐type‐level accuracy (gliomas 85.6%, meningiomas 94.6%, metastases 88.2%). Confidence levels for CLE diagnoses were generally low, and no learning curve was observed.

CLE shows potential to distinguish between neoplastic and non‐neoplastic tissue, but diagnostic accuracy remains lower than with H & E‐stained slides. Training in CLE image interpretation is recommended to improve diagnostic accuracy. CLE imaging may have the potential to become a valuable tool for delineating brain tumour borders.

Confocal Laser Endomicroscopy (CLE) enables visualisation of tissue microstructure on a cellular levelCLE shows good potential to distinguish neoplastic from non‐neoplastic tissueTo improve diagnostic accuracy, prior training in CLE image interpretation is recommendedCLE could potentially become a tool to demarcate tumour borders

Confocal Laser Endomicroscopy (CLE) enables visualisation of tissue microstructure on a cellular level

CLE shows good potential to distinguish neoplastic from non‐neoplastic tissue

To improve diagnostic accuracy, prior training in CLE image interpretation is recommended

CLE could potentially become a tool to demarcate tumour borders

## Full-text entities

- **Diseases:** Brain Tumours (MESH:D001932), neoplastic (MESH:D009369), meningiomas (MESH:D008579), metastases (MESH:D009362), gliomas (MESH:D005910)
- **Chemicals:** H &amp; E (MESH:D006371), haematoxylin and eosin (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12811067/full.md

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Source: https://tomesphere.com/paper/PMC12811067