Evidence map›Paper›PMID 31296917›Full record

ArticleScientific reports2019

Fast stimulated Raman and second harmonic generation imaging for intraoperative gastro-intestinal cancer detection.

Barbara Sarri, Rafaël Canonge, Xavier Audier, Emma Simon, Julien Wojak, Fabrice Caillol, Cécile Cador, Didier Marguet, Flora Poizat, Marc Giovannini and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
10.9field-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

26 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
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  6. Virtual Staining of Nonfixed Tissue Histology.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2024
    Review
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  18. Review
  19. Article
  20. Advances in stimulated Raman scattering imaging for tissues and animals.Quantitative imaging in medicine and surgery · 2021
    Review
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

11 authors at 3 institutions in 1 country.

Barbara SarriAix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France.
Rafaël CanongeAix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France.
Xavier AudierAix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France.
Emma SimonAix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France.
Julien WojakAix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France.
Fabrice CaillolInstitut Paoli-Calmettes, Endoscopy and Gastroenterology Departement, Marseille, France.
Cécile CadorInstitut Paoli-Calmettes, Endoscopy and Gastroenterology Departement, Marseille, France.
Didier MarguetAix-Marseille Univ, INSERM, CNRS, Centre d'Immunologie de Marseille-Luminy, Marseille, France.ORCID http://orcid.org/0000-0003-3198-5095
Flora PoizatInstitut Paoli-Calmettes, Endoscopy and Gastroenterology Departement, Marseille, France.
Marc GiovanniniInstitut Paoli-Calmettes, Endoscopy and Gastroenterology Departement, Marseille, France. giovanninim@ipc.unicancer.fr.
Hervé RigneaultAix Marseille Univ, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France. herve.rigneaul@fresnel.fr.ORCID http://orcid.org/0000-0001-6007-0631
Centre National de la Recherche Scientifique · FRInstitut Pprime · FRInstitut Paoli-Calmettes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional haematoxylin, eosin and saffron (HES) histopathology, currently the 'gold-standard' for pathological diagnosis of cancer, requires extensive sample preparations that are achieved within time scales that are not compatible with intra-operative situations where quick decisions must be taken. Providing to pathologists a close to real-time technology revealing tissue structures at the cellular level with HES histologic quality would provide an invaluable tool for surgery guidance with evident clinical benefit. Here, we specifically develop a stimulated Raman imaging based framework that demonstrates gastro-intestinal (GI) cancer detection of unprocessed human surgical specimens. The generated stimulated Raman histology (SRH) images combine chemical and collagen information to mimic conventional HES histopathology staining. We report excellent agreements between SRH and HES images acquire on the same patients for healthy, pre-cancerous and cancerous colon and pancreas tissue sections. We also develop a novel fast SRH imaging modality that captures at the pixel level all the information necessary to provide instantaneous SRH images. These developments pave the way for instantaneous label free GI histology in an intra-operative context.

Indexed as

Gastrointestinal NeoplasmsHumansIntraoperative PeriodPhantoms, ImagingReproducibility of ResultsSecond Harmonic Generation MicroscopySpectrum Analysis, Raman

Identifiers

PMID31296917
PMCPMC6624250
OpenAlexW2961718319

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.