Shining a light on brain tumors: a review of Raman spectroscopy in the operating room

SignificanceMaximizing brain tumor resection while preserving neurological function remains a neurosurgical challenge. Current intraoperative tools, including MRI, ultrasound, and frozen section, disrupt workflow and provide limited real-time molecular information.AimThis review synthesizes evidence for Raman spectroscopy as an intraoperative tool in glioma and brain metastasis surgery, comparing it against established alternatives and framing findings within a diagnostic hierarchy from analytic validity through clinical utility to outcome benefit.ApproachEvidence is arranged by surgical setting: in vivo handheld fiber-optic probes and ex vivo platforms including Raman microscopy, stimulated Raman scattering (SRS) imaging, and visible resonance Raman.ResultsIn vivo multicenter studies report >85% per-measurement sensitivity and specificity for tumor versus normal classification, with nondestructive analysis in ∼2 s. Molecular marker detection, including IDH mutation status, has been demonstrated predominantly ex vivo. Ex vivo SRS generates histology-quality images and can classify selected molecular alterations within ∼90 s, though this molecular capability is not clinically validated.ConclusionsWhile multicenter studies support the analytic validity of Raman-based tissue detection, clinical adoption requires prospective outcome trials, standardized acquisition protocols, and regulatory advancement.

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Publication Details

Journal
Journal of Biomedical Optics
Published
2026-09-05
DOI
https://doi.org/10.1117/1.jbo.31.9.090901
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Shining a light on brain tumors: a review of Raman spectroscopy in the operating room

Katherine Ember, Kevin Petrecca, Claude Aguergaray, CLINTON TURNER et al.
Journal of Biomedical Optics
Spectroscopy Techniques in Biomedical and Chemical Research
article

Shining a light on brain tumors: a review of Raman spectroscopy in the operating room

Katherine Ember, Kevin Petrecca, Claude Aguergaray, CLINTON TURNER, Frédéric Leblond, Samuel Cutfield, Michael Dragunow
article en

Abstract

SignificanceMaximizing brain tumor resection while preserving neurological function remains a neurosurgical challenge. Current intraoperative tools, including MRI, ultrasound, and frozen section, disrupt workflow and provide limited real-time molecular information.AimThis review synthesizes evidence for Raman spectroscopy as an intraoperative tool in glioma and brain metastasis surgery, comparing it against established alternatives and framing findings within a diagnostic hierarchy from analytic validity through clinical utility to outcome benefit.ApproachEvidence is arranged by surgical setting: in vivo handheld fiber-optic probes and ex vivo platforms including Raman microscopy, stimulated Raman scattering (SRS) imaging, and visible resonance Raman.ResultsIn vivo multicenter studies report >85% per-measurement sensitivity and specificity for tumor versus normal classification, with nondestructive analysis in ∼2 s. Molecular marker detection, including IDH mutation status, has been demonstrated predominantly ex vivo. Ex vivo SRS generates histology-quality images and can classify selected molecular alterations within ∼90 s, though this molecular capability is not clinically validated.ConclusionsWhile multicenter studies support the analytic validity of Raman-based tissue detection, clinical adoption requires prospective outcome trials, standardized acquisition protocols, and regulatory advancement.

Journal of Biomedical OpticsVol. 31(09)
Montreal Neurological Institute and Hospital (CA), University of Auckland (NZ), Auckland University of Technology (NZ), The Dodd-Walls Centre for Photonic and Quantum Technologies (NZ), Brain Research New Zealand (NZ), Polytechnique Montréal (CA), McGill University (CA)
Ministry of Business, Innovation and Employment, Dodd-Walls Centre
Partnerships for the goals
Openalex Percentile: Top 12%
Spectroscopy Techniques in Biomedical and Chemical Research
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