SynthesisOncotarget2017
Accuracy of Raman spectroscopy in differentiating brain tumor from normal brain tissue.
Synthesis in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.
- Surgical identification of brain tumour margins through impedance monitoring and electrocorticography and the potential for their combined use: A systematic review.Neurosurgical review · 2024Pooled it
- Pooled it
- Relevance of light conditions for clinicalFrontiers in oncology · 2026Article
- Review
- Review
- Dysplasia and tumor discrimination in brain tissues by combined fluorescence, Raman, and diffuse reflectance spectroscopies.Biomedical optics express · 2023Article
- The neurosurgical benefit of contactlessFrontiers in oncology · 2023Article
- Safe surgery for glioblastoma: Recent advances and modern challenges.Neuro-oncology practice · 2022Review
- Bioreactor design and validation for manufacturing strategies in tissue engineering.Bio-design and manufacturing · 2022Article
- From Research to Diagnostic Application of Raman Spectroscopy in Neurosciences: Past and Perspectives.Free neuropathology · 2022Article
- Intraoperative discrimination of native meningioma and dura mater by Raman spectroscopy.Scientific reports · 2021Article
- Integration of Raman spectra with transcriptome data in glioblastoma multiforme defines tumour subtypes and predicts patient outcome.Journal of cellular and molecular medicine · 2021Article
- Differentiation of primary CNS lymphoma and glioblastoma using Raman spectroscopy and machine learning algorithms.Free neuropathology · 2021Article
- Use of Handheld Raman Spectroscopy for Intraoperative Differentiation of Normal Brain Tissue From Intracranial Neoplasms in Dogs.Frontiers in veterinary science · 2021Article
- Article
- Zinc Phthalocyanine Photochemistry by Raman Imaging, Fluorescence Spectroscopy and Femtosecond Spectroscopy in Normal and Cancerous Human Colon Tissues and Single Cells.Molecules (Basel, Switzerland) · 2020Article
- Rise of Raman spectroscopy in neurosurgery: a review.Journal of biomedical optics · 2020Review
- Preoperative and Intraoperative Methods of Parathyroid Gland Localization and the Diagnosis of Parathyroid Adenomas.Molecules (Basel, Switzerland) · 2020Review
- Quantitative spectral quality assessment technique validated using intraoperative in vivo Raman spectroscopy measurements.Journal of biomedical optics · 2020Article
- Label-free diagnostics and cancer surgery Raman spectra guidance for the human colon at different excitation wavelengths.RSC advances · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Raman spectroscopy could be applied to distinguish tumor from normal tissues. This meta-analysis was conducted to assess the accuracy of Raman spectroscopy in differentiating brain tumor from normal brain tissue. PubMed and Embase were searched to identify suitable studies prior to Jan 1st, 2016. We estimated the pooled sensitivity, specificity, positive and negative likelihood ratios (LR), diagnostic odds ratio (DOR), and constructed summary receiver operating characteristics (SROC) curves to identity the accuracy of Raman spectroscopy in differentiating brain tumor from normal brain tissue. A total of six studies with 1951 spectra were included. For glioma, the pooled sensitivity and specificity of Raman spectroscopy were 0.96 (95% CI 0.94-0.97) and 0.99 (95% CI 0.98-0.99), respectively. The area under the curve (AUC) was 0.9831. For meningioma, the pooled sensitivity and specificity were 0.98 (95% CI 0.94-1.00) and 1.00 (95% CI 0.98-1.00), respectively. The AUC was 0.9955. This meta-analysis suggested that Raman spectroscopy could be an effective and accurate tool for differentiating glioma and meningioma from normal brain tissue, which would help us both avoid removal of normal tissue and minimize the volume of residual tumor.
Indexed as
Identifiers
What OpenQuestion holds
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.