The Diagnostic Value of Confocal Laser Endomicroscopy in Brain Tumours When Performed by Blinded, Untrained Neuropathologists.
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BORIS DOI
Publisher DOI
PubMed ID
41545022
Description
Aim
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.Methods
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.Results
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.Conclusions
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.
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.Methods
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.Results
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.Conclusions
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.
Date of Publication
2026-02
Publication Type
Article
Subject(s)
Keyword(s)
brain tumour
•
confocal laser endomicroscopy
•
glioma
•
meningioma
•
metastasis
Language(s)
en
Contributor(s)
Iff Ilona Isabelle | University Hospital of Bern |
Capper, David | |
Hain, Elisabeth G | |
Meinhardt, Jenny | |
Von Manitius, Regina | |
Dittmayer, Carsten | |
Schmid, Simone |
Additional Credits
Series
Neuropathology and Applied Neurobiology
Publisher
Wiley
ISSN
1365-2990
0305-1846
Access(Rights)
open.access