Evidence map›Paper›PMID 37834196›Full record

ArticleInternational journal of molecular sciences2023

Multispectral Raman Differentiation of Malignant Skin Neoplasms In Vitro: Search for Specific Biomarkers and Optimal Wavelengths.

Elena Rimskaya, Svetlana Shelygina, Alina Timurzieva, Irina Saraeva, Elena Perevedentseva, Nikolay Melnik, Konstantin Kudrin, Dmitry Reshetov, Sergey Kudryashov

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Multi-Wavelength Raman Differentiation of Malignant Skin Neoplasms.International journal of molecular sciences · 2024
    Article
  5. 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

9 authors.

Elena RimskayaLebedev Physical Institute, 119991 Moscow, Russia.ORCID 0000-0001-7802-0720
Svetlana ShelyginaLebedev Physical Institute, 119991 Moscow, Russia.ORCID 0000-0002-2964-5430
Alina TimurzievaLebedev Physical Institute, 119991 Moscow, Russia.
Irina SaraevaLebedev Physical Institute, 119991 Moscow, Russia.
Elena PerevedentsevaLebedev Physical Institute, 119991 Moscow, Russia.ORCID 0000-0002-1489-6747
Nikolay MelnikLebedev Physical Institute, 119991 Moscow, Russia.ORCID 0000-0002-7058-0333
Konstantin KudrinLebedev Physical Institute, 119991 Moscow, Russia.
Dmitry ReshetovDepartment of Oncology and Radiation Therapy, Evdokimov Moscow State University of Medicine and Dentistry, 127473 Moscow, Russia.
Sergey KudryashovLebedev Physical Institute, 119991 Moscow, Russia.ORCID 0000-0001-6657-2739

Funding

Russian Science Foundation 23-25-00249
6 · The paper itself

Abstract

Confocal scanning Raman and photoluminescence (PL) microspectroscopy is a structure-sensitive optical method that allows the non-invasive analysis of biomarkers in the skin tissue. We used it to perform in vitro diagnostics of different malignant skin neoplasms at several excitation wavelengths (532, 785 and 1064 nm). Distinct spectral differences were noticed in the Raman spectra of basal cell carcinoma (BCC) and squamous cell carcinoma (SCC), compared with healthy skin. Our analysis of Raman/PL spectra at the different excitation wavelengths enabled us to propose two novel wavelength-independent spectral criteria (intensity ratios for 1302 cm

Indexed as

Basal Cell CarcinomaCarcinoma, Squamous CellSkin NeoplasmsHumansSkinSpectrum Analysis, Ramanbasal cell carcinomaconfocal Raman and photoluminescence microspectroscopydiagnostic biomarkersoptical biopsysignal processingskin cancersquamous cell carcinoma

Identifiers

PMID37834196
PMCPMC10572672

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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.