Evidence map›Paper›PMID 26926067›Full record

ReviewNeurosurgical focus2016

Improving the accuracy of brain tumor surgery via Raman-based technology.

Todd Hollon, Spencer Lewis, Christian W Freudiger, X Sunney Xie, Daniel A Orringer

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Image-Guided Brain Tumor Surgery.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Advancements in Neurosurgical Intraoperative Histology.Tomography (Ann Arbor, Mich.) · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Functional imaging of the exposed brain.Frontiers in neuroscience · 2023
    Review
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Todd HollonDepartment of Neurosurgery, University of Michigan, Ann Arbor, Michigan;
Spencer LewisDepartment of Neurosurgery, University of Michigan, Ann Arbor, Michigan;
Christian W FreudigerInvenio Imaging, Inc., Menlo Park, California; and.
X Sunney XieDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts.
Daniel A OrringerDepartment of Neurosurgery, University of Michigan, Ann Arbor, Michigan;

Funding

Imaging the Invisible with No Labels: A Major Opportunity in Biology and MedicineR01EB010244 · NIBIB · HARVARD UNIVERSITY · PI XIE, XIAOLIANG SUNNEY · 2009 to 2013
$3.9M
In vivo Handheld Coherent Raman Scattering (CRS) Microscopy for Glioma ImagingR01EB017254 · NIBIB · HARVARD UNIVERSITY · PI ORRINGER, DANIEL, XIE, XIAOLIANG SUNNEY · 2014 to 2018
$1.9M
Real-time histopathology for intra-operative tumor margin delineationR44CA206664 · NCI · INVENIO IMAGING INC. · PI FREUDIGER, CHRISTIAN, ORRINGER, DANIEL · 2016 to 2017
$1.5M
NCI NIH HHS R44 CA206664NIBIB NIH HHS R01 EB010244NIBIB NIH HHS R01EB010244-01NIBIB NIH HHS R01 EB017254NIBIB NIH HHS R01EB017254
6 · The paper itself

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.

Indexed as

Brain NeoplasmsHumansNeurosurgical ProceduresSpectrum Analysis, Ramanbrain metastasisbrain/tumor marginCARS = coherent anti-Stokes Raman scatteringcoherent Raman scattering microscopyCRS = coherent Raman scatteringgliomaprimary brain tumorsRaman spectroscopySRS = stimulated Raman scattering

Identifiers

PMID26926067
PMCPMC4992579

What OpenQuestion holds

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Registered trials

None linked

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.