Please use this identifier to cite or link to this item: doi:10.22028/D291-47464
Title: Stimulated Raman Spectroscopy for Intraoperative Glioblastoma Diagnosis—A Complementary Tool to Frozen Section?
Author(s): Sippl, Christoph
Stark, Felix
Schneider, K. Isabel
Reyes Medina, Bernardo
Schulz-Schaeffer, Walter
Brinkmann, Maximilian
Neumann, Felix
Droop, Ramon
Ullmann, Steffen
Würthwein, Thomas
Hellwig, Tim
Hoffmann, Lucas
Monfroy, Nathan
Khafaji, Fatemeh
Saffour, Safwan
Gaber, Karim
Linsler, Stefan
Language: English
Title: Cancers
Volume: 18
Issue: 7
Publisher/Platform: MDPI
Year of Publication: 2026
Free key words: glioblastoma
Raman
spectroscopy
histology
DDC notations: 610 Medicine and health
Publikation type: Journal Article
Abstract: Background: Glioblastoma (GBM) remains the most aggressive primary brain tumor, and intraoperative frozen section analysis is the current standard for rapid histopathological assessment. However, this approach is time-consuming and resource-intensive. Stimulated Raman scattering (SRS) imaging has emerged as a label-free technique enabling near real-time microscopic evaluation of fresh tissue. This study compares the visualization of selected histopathological features in a newly developed intraoperative SRS system with conventional hematoxylin–eosin (HE) staining in confirmed GBM. Methods: Tumor samples from 30 patients with neuropathologically confirmed GBM were analyzed. For each case, both HE-stained frozen sections and SRS-generated virtual HE-like images were prepared from separate portions of the specimen. Twelve neuropathologists with varying levels of experience assessed 60 images according to seven predefined GBM criteria, resulting in 720 image evaluations. Feature detection was analyzed using cluster-adjusted generalized estimating equation models, and interobserver agreement was assessed using Fleiss’ κ. Results: Descriptively, hypercellularity and hypervascularization were identified at similar frequencies in both modalities, whereas pleomorphism, endothelial proliferation, mitotic activity, and necrosis were more often recognized in HE images. In cluster-adjusted analyses, SRS showed significantly lower detection rates for hypercellularity, pleomorphism, endothelial proliferation, and mitotic activity, while no significant difference was observed for hypervascularization, necrosis, or pseudopalisading after false discovery rate correction. Interobserver agreement was feature-dependent and generally higher for HE than SRS, particularly for hypercellularity. Conclusions: In this feature-level analysis of neuropathologically confirmed GBM, SRS imaging provided rapid, label-free morphological information and showed comparable visualization of selected histopathological features, particularly hypervascularization. While conventional HE-stained frozen sections remained superior for certain WHO-defining features, SRS represents a promising intraoperative adjunct that may complement established neuropathological workflows. Further studies including non-tumor tissue and a broader range of glioma grades are needed to determine the full diagnostic accuracy and clinical applicability of this technique.
DOI of the first publication: 10.3390/cancers18071053
URL of the first publication: https://doi.org/10.3390/cancers18071053
Link to this record: urn:nbn:de:bsz:291--ds-474645
hdl:20.500.11880/41504
http://dx.doi.org/10.22028/D291-47464
ISSN: 2072-6694
Date of registration: 14-Apr-2026
Description of the related object: Supplementary Materials
Related object: https://www.mdpi.com/article/10.3390/cancers18071053/s1
Faculty: M - Medizinische Fakultät
Department: M - Neurochirurgie
M - Neuropathologie
Professorship: M - Prof. Dr. Joachim Oertel
M - Prof. Dr. Walter Schulz-Schaeffer
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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