ReviewNeurosurgical focus2016
Improving the accuracy of brain tumor surgery via Raman-based technology.
Review in Neurosurgical focus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
57 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
- Accuracy of Raman spectroscopy in differentiating brain tumor from normal brain tissue.Oncotarget · 2017Pooled it
- Machine-Learning-Enabled Raman Spectroscopy Refines Indocyanine Green Fluorescence Boundaries for Precise Glioblastoma Margin Delineation.Research (Washington, D.C.) · 2026Article
- Spectral discrimination of pediatric SF188 and adult glioblastoma stem cells by deep learning-enhanced Raman profiling.Frontiers in oncology · 2026Article
- Image-Guided Brain Tumor Surgery.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026Review
- Engineering Nanomaterials for Raman Bioimaging and Theranostics: Advances, Challenges, and Future Directions.ACS omega · 2025Review
- Review
- Article
- Raman and autofluorescence spectroscopy for in situ identification of neoplastic tissue during surgical treatment of brain tumors.Journal of neuro-oncology · 2024Article
- Advancements in Neurosurgical Intraoperative Histology.Tomography (Ann Arbor, Mich.) · 2024Review
- Article
- A Handheld Visible Resonance Raman Analyzer Used in Intraoperative Detection of Human Glioma.Cancers · 2023Article
- Refining the Intraoperative Identification of Suspected High-Grade Glioma Using a Surgical Fluorescence Biomarker: GALA BIDD Study Report.Journal of personalized medicine · 2023Article
- Open-sourced Raman spectroscopy data processing package implementing a baseline removal algorithm validated from multiple datasets acquired in human tissue and biofluids.Journal of biomedical optics · 2023Article
- Maximal Safe Resection in Glioblastoma Surgery: A Systematic Review of Advanced Intraoperative Image-Guided Techniques.Brain sciences · 2023Review
- Preoperative tractography algorithm for safe resection of tumors located in the descending motor pathways zone.Surgical neurology international · 2023Article
- Functional imaging of the exposed brain.Frontiers in neuroscience · 2023Review
- Raman Spectroscopy on Brain Disorders: Transition from Fundamental Research to Clinical Applications.Biosensors · 2022Review
- OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology.Advances in neural information processing systems · 2022Article
- Stimulated Raman Histology for Rapid Intra-Operative Diagnosis of Sinonasal and Skull Base Tumors.The Laryngoscope · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Despite advances in the surgical management of brain tumors, achieving optimal surgical results and identification of tumor remains a challenge. Raman spectroscopy, a laser-based technique that can be used to nondestructively differentiate molecules based on the inelastic scattering of light, is being applied toward improving the accuracy of brain tumor surgery. Here, the authors systematically review the application of Raman spectroscopy for guidance during brain tumor surgery. Raman spectroscopy can differentiate normal brain from necrotic and vital glioma tissue in human specimens based on chemical differences, and has recently been shown to differentiate tumor-infiltrated tissues from noninfiltrated tissues during surgery. Raman spectroscopy also forms the basis for coherent Raman scattering (CRS) microscopy, a technique that amplifies spontaneous Raman signals by 10,000-fold, enabling real-time histological imaging without the need for tissue processing, sectioning, or staining. The authors review the relevant basic and translational studies on CRS microscopy as a means of providing real-time intraoperative guidance. Recent studies have demonstrated how CRS can be used to differentiate tumor-infiltrated tissues from noninfiltrated tissues and that it has excellent agreement with traditional histology. Under simulated operative conditions, CRS has been shown to identify tumor margins that would be undetectable using standard bright-field microscopy. In addition, CRS microscopy has been shown to detect tumor in human surgical specimens with near-perfect agreement to standard H & E microscopy. The authors suggest that as the intraoperative application and instrumentation for Raman spectroscopy and imaging matures, it will become an essential component in the neurosurgical armamentarium for identifying residual tumor and improving the surgical management of brain tumors.
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Registered trials
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.