Evidence map›Paper›PMID 31057753›Full record

ArticleChemical science2019

New insights into spectral histopathology: infrared-based scoring of tumour aggressiveness of squamous cell lung carcinomas.

Vincent Gaydou, Myriam Polette, Cyril Gobinet, Claire Kileztky, Jean-François Angiboust, Philippe Birembaut, Vincent Vuiblet, Olivier Piot

Open access · diamondAbstract read
In one paragraph

Article in Chemical science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Vincent GaydouBioSpecT Unit , EA 7506 , University of Reims Champagne-Ardenne , Pharmacy Department , 51 rue Cognacq-Jay , 51096 Reims , France . Email: olivier.piot@univ-reims.fr.
Myriam PoletteINSERM UMR-S 1250 , University of Reims Champagne-Ardenne , 45, rue Cognacq-Jay , 51092 Reims , France.
Cyril GobinetBioSpecT Unit , EA 7506 , University of Reims Champagne-Ardenne , Pharmacy Department , 51 rue Cognacq-Jay , 51096 Reims , France . Email: olivier.piot@univ-reims.fr.ORCID 0000-0002-2702-3697
Claire KileztkyINSERM UMR-S 1250 , University of Reims Champagne-Ardenne , 45, rue Cognacq-Jay , 51092 Reims , France.
Jean-François AngiboustBioSpecT Unit , EA 7506 , University of Reims Champagne-Ardenne , Pharmacy Department , 51 rue Cognacq-Jay , 51096 Reims , France . Email: olivier.piot@univ-reims.fr.
Philippe BirembautINSERM UMR-S 1250 , University of Reims Champagne-Ardenne , 45, rue Cognacq-Jay , 51092 Reims , France.
Vincent VuibletBioSpecT Unit , EA 7506 , University of Reims Champagne-Ardenne , Pharmacy Department , 51 rue Cognacq-Jay , 51096 Reims , France . Email: olivier.piot@univ-reims.fr.
Olivier PiotBioSpecT Unit , EA 7506 , University of Reims Champagne-Ardenne , Pharmacy Department , 51 rue Cognacq-Jay , 51096 Reims , France . Email: olivier.piot@univ-reims.fr.ORCID 0000-0001-7869-5242
Bio-Medical Science (South Korea) · KRInserm · FRCentre Hospitalier Universitaire de Reims · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spectral histopathology, based on infrared interrogation of tissue sections, proved a promising tool for helping pathologists in characterizing histological structures in a quantitative and automatic manner. In cancer diagnosis, the use of chemometric methods permits establishing numerical models able to detect cancer cells and to characterize their tissular environment. In this study, we focused on exploiting multivariate infrared data to score the tumour aggressiveness in preneoplastic lesions and squamous cell lung carcinomas. These lesions present a wide range of aggressive phenotypes; it is also possible to encounter cases with various degrees of aggressiveness within the same lesion. Implementing an infrared-based approach for a more precise histological determination of the tumour aggressiveness should arouse interest among pathologists with direct benefits for patient care. In this study, the methodology was developed from a set of samples including all degrees of tumour aggressiveness and by constructing a chain of data processing steps for an automated analysis of tissues currently manipulated in routine histopathology.

Identifiers

PMID31057753
PMCPMC6471539
OpenAlexW2918553588

What OpenQuestion holds

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LicenceCC BY-NC
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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.