Evidence map›Paper›PMID 33680557›Full record

ArticleBiomedical optics express2021

Malignant and benign thyroid nodule differentiation through the analysis of blood plasma with terahertz spectroscopy.

Maria R Konnikova, Olga P Cherkasova, Maxim M Nazarov, Denis A Vrazhnov, Yuri V Kistenev, Sergei E Titov, Elena V Kopeikina, Sergei P Shevchenko, Alexander P Shkurinov

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Cellular effects of terahertz waves.Journal of biomedical optics · 2021
    Review
  7. 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 at 4 institutions in 2 countries.

Maria R KonnikovaInstitute for Problems of Laser and Information Technologies of the Russian Academy of Sciences, Branch of Federal Scientific Research Center, "Crystallography and Photonics" of the RAS, Shatura 140700, Russia.
Olga P CherkasovaInstitute for Problems of Laser and Information Technologies of the Russian Academy of Sciences, Branch of Federal Scientific Research Center, "Crystallography and Photonics" of the RAS, Shatura 140700, Russia.ORCID https://orcid.org/0000-0002-8035-2422
Maxim M NazarovNational Research Centre Kurchatov Institute, Moscow, 123182, Russia.
Denis A VrazhnovInstitute of Strength Physics and Materials Science of the Siberian Branch of the Russian Academy of Sciences, Tomsk, 634055, Russia.
Yuri V KistenevTomsk State University, Tomsk, 634050, Russia.ORCID https://orcid.org/0000-0001-5760-1462
Sergei E TitovInstitute of Molecular and Cellular Biology of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090, Russia.
Elena V KopeikinaMunicipal Clinical Hospital No. 1, Novosibirsk, 630047, Russia.
Sergei P ShevchenkoMunicipal Clinical Hospital No. 1, Novosibirsk, 630047, Russia.
Alexander P ShkurinovInstitute for Problems of Laser and Information Technologies of the Russian Academy of Sciences, Branch of Federal Scientific Research Center, "Crystallography and Photonics" of the RAS, Shatura 140700, Russia.
Russian Academy of Sciences · RUClinical Hospital No. 8 · RUKurchatov Institute · RUNational Research Tomsk State University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The liquid and lyophilized blood plasma of patients with benign or malignant thyroid nodules and healthy individuals were studied by terahertz (THz) time-domain spectroscopy and machine learning. The blood plasma samples from malignant nodule patients were shown to have higher absorption. The glucose concentration and miRNA-146b level were correlated with the sample's absorption at 1 THz. A two-stage ensemble algorithm was proposed for the THz spectra analysis. The first stage was based on the Support Vector Machine with a linear kernel to separate healthy and thyroid nodule participants. The second stage included additional data preprocessing by Ornstein-Uhlenbeck kernel Principal Component Analysis to separate benign and malignant thyroid nodule participants. Thus, the distinction of malignant and benign thyroid nodule patients through their lyophilized blood plasma analysis by terahertz time-domain spectroscopy and machine learning was demonstrated.

Identifiers

PMID33680557
PMCPMC7901318
OpenAlexW3125077509

What OpenQuestion holds

Textmetadata
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.