Evidence map›Paper›PMID 32358930›Full record

ReviewJournal of biomedical optics2020

Rise of Raman spectroscopy in neurosurgery: a review.

Damon DePaoli, Émile Lemoine, Katherine Ember, Martin Parent, Michel Prud'homme, Léo Cantin, Kevin Petrecca, Frédéric Leblond, Daniel C Côté

Open access · goldAbstract readReview
In one paragraph

Review in Journal of biomedical optics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
9.7field-weighted citation impact, top 2% of its field
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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Pooled it
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  5. Towards Optical Biopsy in Glioma Surgery.International journal of molecular sciences · 2025
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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

9 authors at 4 institutions in 1 country.

Damon DePaoliUniversité Laval, CERVO Brain Research Center, Québec, Canada.
Émile LemoinePolytechnique Montréal, Department of Engineering Physics, Montréal, Canada.
Katherine EmberPolytechnique Montréal, Department of Engineering Physics, Montréal, Canada.
Martin ParentUniversité Laval, CERVO Brain Research Center, Québec, Canada.
Michel Prud'hommeHôpital de l'Enfant-Jésus, Department of Neurosurgery, Québec, Canada.
Léo CantinHôpital de l'Enfant-Jésus, Department of Neurosurgery, Québec, Canada.
Kevin PetreccaMcGill University, Montreal Neurological Institute-Hospital, Department of Neurology and Neurosurger, Canada.
Frédéric LeblondPolytechnique Montréal, Department of Engineering Physics, Montréal, Canada.
Daniel C CôtéUniversité Laval, CERVO Brain Research Center, Québec, Canada.
Polytechnique Montréal · CAUniversité Laval · CAHôpital de l'Enfant-Jésus · CAMcGill University · CA

Funding

CIHR
6 · The paper itself

Abstract

significanceAlthough the clinical potential for Raman spectroscopy (RS) has been anticipated for decades, it has only recently been used in neurosurgery. Still, few devices have succeeded in making their way into the operating room. With recent technological advancements, however, vibrational sensing is poised to be a revolutionary tool for neurosurgeons.

aimWe give a summary of neurosurgical workflows and key translational milestones of RS in clinical use and provide the optics and data science background required to implement such devices. APPROACH: We performed an extensive review of the literature, with a specific emphasis on research that aims to build Raman systems suited for a neurosurgical setting.

resultsThe main translatable interest in Raman sensing rests in its capacity to yield label-free molecular information from tissue intraoperatively. Systems that have proven usable in the clinical setting are ergonomic, have a short integration time, and can acquire high-quality signal even in suboptimal conditions. Moreover, because of the complex microenvironment of brain tissue, data analysis is now recognized as a critical step in achieving high performance Raman-based sensing.

conclusionsThe next generation of Raman-based devices are making their way into operating rooms and their clinical translation requires close collaboration between physicians, engineers, and data scientists.

Indexed as

NeurosurgerySpectrum Analysis, RamanBrainNeurosurgical Procedurescoherent anti-Stokes Raman scatteringneurosurgeryRamanstimulated Raman scattering

Identifiers

PMID32358930
PMCPMC7195442
OpenAlexW3023645955

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.