Evidence map›Paper›PMID 38858389›Full record

ArticleScientific reports2024

In situ brain tumor detection using a Raman spectroscopy system-results of a multicenter study.

Katherine Ember, Frédérick Dallaire, Arthur Plante, Guillaume Sheehy, Marie-Christine Guiot, Rajeev Agarwal, Rajeev Yadav, Alice Douet, Juliette Selb, Jean Philippe Tremblay and 12 more

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Image-Guided Brain Tumor Surgery.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
  13. Relevance of light conditions for clinicalFrontiers in oncology · 2026
    Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  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

22 authors.

Katherine EmberPolytechnique Montréal, Montreal, Canada.
Frédérick DallairePolytechnique Montréal, Montreal, Canada.
Arthur PlantePolytechnique Montréal, Montreal, Canada.
Guillaume SheehyPolytechnique Montréal, Montreal, Canada.
Marie-Christine GuiotDivision of Neuropathology, Department of Pathology, Montreal Neurological Institute-Hospital, McGill University, Montreal, Canada.
Rajeev AgarwalReveal Surgical, Montreal, Canada.
Rajeev YadavReveal Surgical, Montreal, Canada.
Alice DouetReveal Surgical, Montreal, Canada.
Juliette SelbReveal Surgical, Montreal, Canada.
Jean Philippe TremblayReveal Surgical, Montreal, Canada.
Alex DupuisReveal Surgical, Montreal, Canada.
Eric MarpleReveal Surgical, Montreal, Canada.
Kirk UrmeyReveal Surgical, Montreal, Canada.
Caroline RizeaMount Sinai Hospital, New York, NY, USA.
Armand HarbMount Sinai Hospital, New York, NY, USA.
Lily McCarthyMount Sinai Hospital, New York, NY, USA.
Alexander SchupperMount Sinai Hospital, New York, NY, USA.
Melissa UmphlettMount Sinai Hospital, New York, NY, USA.
Nadejda TsankovaMount Sinai Hospital, New York, NY, USA.
Frédéric Leblond *Polytechnique Montréal, Montreal, Canada. frederic.leblond@polymtl.ca.
Constantinos Hadjipanayis *Mount Sinai Hospital, New York, NY, USA. hadjipanayiscg2@upmc.edu.
Kevin Petrecca *Montreal Neurological Institute-Hospital, McGill University, Montreal, Canada. kevin.petrecca@mcgill.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Safe and effective brain tumor surgery aims to remove tumor tissue, not non-tumoral brain. This is a challenge since tumor cells are often not visually distinguishable from peritumoral brain during surgery. To address this, we conducted a multicenter study testing whether the Sentry System could distinguish the three most common types of brain tumors from brain tissue in a label-free manner. The Sentry System is a new real time, in situ brain tumor detection device that merges Raman spectroscopy with machine learning tissue classifiers. Nine hundred and seventy-six in situ spectroscopy measurements and colocalized tissue specimens were acquired from 67 patients undergoing surgery for glioblastoma, brain metastases, or meningioma to assess tumor classification. The device achieved diagnostic accuracies of 91% for glioblastoma, 97% for brain metastases, and 96% for meningiomas. These data show that the Sentry System discriminated tumor containing tissue from non-tumoral brain in real time and prior to resection.

Indexed as

Brain NeoplasmsSpectrum Analysis, RamanAdultAgedBrainFemaleGlioblastomaHumansMachine LearningMaleMeningiomaMiddle Aged

Identifiers

PMID38858389
PMCPMC11164901

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.