ArticleChild's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery2018
Raman spectroscopy for medulloblastoma.
Article in Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 19 citations in OpenAlex.
- Direct SERS profiling of small extracellular vesicles in cerebrospinal fluid for pediatric medulloblastoma detection and treatment monitoring.Analytical and bioanalytical chemistry · 2025Article
- Label-free optical imaging for brain cancer assessment.Trends in cancer · 2024Review
- Review
- Evolving Diagnostic and Treatment Strategies for Pediatric CNS Tumors: The Impact of Lipid Metabolism.Biomedicines · 2023Review
- A Handheld Visible Resonance Raman Analyzer Used in Intraoperative Detection of Human Glioma.Cancers · 2023Article
- Infrared Spectroscopy as a Potential Diagnostic Tool for Medulloblastoma.Molecules (Basel, Switzerland) · 2023Article
- From Research to Diagnostic Application of Raman Spectroscopy in Neurosciences: Past and Perspectives.Free neuropathology · 2022Article
- Article
- Article
- The Future of Skull Base Surgery: A View Through Tinted Glasses.World neurosurgery · 2020Review
- Optical biopsy identification and grading of gliomas using label-free visible resonance Raman spectroscopy.Journal of biomedical optics · 2019Article
- Raman Analysis of Tear Fluid Alteration Following Contact Lense Use.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of the study is to use Raman spectroscopy to analyze the biochemical composition of medulloblastoma and normal tissues from the safety margin of the CNS and to find specific Raman biomarkers capable of differentiating between tumorous and normal tissues.
methodsThe tissue samples consisted of medulloblastoma (grade IV) (n = 11). The tissues from the negative margins were used as normal controls. Raman images were generated by a confocal Raman microscope-WITec alpha 300 RSA.
resultsRaman vibrational signatures can predict which tissue has tumorous biochemistry and can identify medulloblastoma. The Raman technique makes use of the fact that tumors contain large amounts of protein and far less lipids (fatty compounds), while healthy tissue is rich in both.
conclusionThe ability of Raman spectroscopy and imaging to detect medulloblastoma tumors fills the niche in diagnostics. These powerful analytical techniques are capable of monitoring tissue morphology and biochemistry. Our results demonstrate that RS can be used to discriminate between normal and medulloblastoma tissues.
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