Evidence map›Paper›PMID 39457674›Full record

ReviewBiomedicines2024

Current Applications of Raman Spectroscopy in Intraoperative Neurosurgery.

Daniel Rivera, Tirone Young, Akhil Rao, Jack Y Zhang, Cole Brown, Lily Huo, Tyree Williams, Benjamin Rodriguez, Alexander J Schupper

Abstract readReview
In one paragraph

Review in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

9 authors.

Daniel RiveraDepartment of Neurosurgery, Icahn School of Medicine at Mount Sinai, One G. Levy Place, New York, NY 10029, USA.
Tirone YoungDepartment of Neurosurgery, Icahn School of Medicine at Mount Sinai, One G. Levy Place, New York, NY 10029, USA.ORCID 0009-0008-5385-0486
Akhil RaoDepartment of Neurosurgery, Icahn School of Medicine at Mount Sinai, One G. Levy Place, New York, NY 10029, USA.
Jack Y ZhangDepartment of Neurosurgery, Icahn School of Medicine at Mount Sinai, One G. Levy Place, New York, NY 10029, USA.
Cole BrownDepartment of Neurosurgery, Icahn School of Medicine at Mount Sinai, One G. Levy Place, New York, NY 10029, USA.ORCID 0000-0003-4805-0042
Lily HuoDepartment of Neurosurgery, Icahn School of Medicine at Mount Sinai, One G. Levy Place, New York, NY 10029, USA.
Tyree WilliamsSinai BioDesign, Department of Neurosurgery, Mount Sinai, New York, NY 10029, USA.ORCID 0000-0002-1651-9048
Benjamin RodriguezDepartment of Neurosurgery, Icahn School of Medicine at Mount Sinai, One G. Levy Place, New York, NY 10029, USA.ORCID 0000-0003-4735-4773
Alexander J SchupperDepartment of Neurosurgery, Icahn School of Medicine at Mount Sinai, One G. Levy Place, New York, NY 10029, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeurosurgery demands exceptional precision due to the brain's complex and delicate structures, necessitating precise targeting of pathological targets. Achieving optimal outcomes depends on the surgeon's ability to accurately differentiate between healthy and pathological tissues during operations. Raman spectroscopy (RS) has emerged as a promising innovation, offering real-time, in vivo non-invasive biochemical tissue characterization. This literature review evaluates the current research on RS applications in intraoperative neurosurgery, emphasizing its potential to enhance surgical precision and patient outcomes.

methodsFollowing PRISMA guidelines, a comprehensive systematic review was conducted using PubMed to extract relevant peer-reviewed articles. The inclusion criteria focused on original research discussing real-time RS applications with human tissue samples in or near the operating room, excluding retrospective studies, reviews, non-human research, and other non-relevant publications.

resultsOur findings demonstrate that RS significantly improves tumor margin delineation, with handheld devices achieving high sensitivity and specificity. Stimulated Raman Histology (SRH) provides rapid, high-resolution tissue images comparable to traditional histopathology but with reduced time to diagnosis. Additionally, RS shows promise in identifying tumor types and grades, aiding precise surgical decision-making. RS techniques have been particularly beneficial in enhancing the accuracy of glioma surgeries, where distinguishing between tumor and healthy tissue is critical. By providing real-time molecular data, RS aids neurosurgeons in maximizing the extent of resection (EOR) while minimizing damage to normal brain tissue, potentially improving patient outcomes and reducing recurrence rates.

conclusionsThis review underscores the transformative potential of RS in neurosurgery, advocating for continued innovation and research to fully realize its benefits. Despite its substantial potential, further research is needed to validate RS's clinical utility and cost-effectiveness.

Indexed as

intraoperative guidanceneurosurgeryRaman spectroscopyreal-time tissue characterizationtumor margin differentiation

Identifiers

PMID39457674
PMCPMC11505268

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.