Evidence map›Paper›PMID 32848190›Full record

ArticleScientific reports2020

Optical percutaneous needle biopsy of the liver: a pilot animal and clinical study.

Viktor Dremin, Elena Potapova, Evgeny Zherebtsov, Ksenia Kandurova, Valery Shupletsov, Alexander Alekseyev, Andrian Mamoshin, Andrey Dunaev

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.9field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 47 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 2 institutions in 2 countries.

Viktor DreminResearch & Development Center of Biomedical Photonics, Orel State University, Orel, 302026, Russia. dremin_viktor@mail.ru.
Elena PotapovaResearch & Development Center of Biomedical Photonics, Orel State University, Orel, 302026, Russia.
Evgeny ZherebtsovResearch & Development Center of Biomedical Photonics, Orel State University, Orel, 302026, Russia.
Ksenia KandurovaResearch & Development Center of Biomedical Photonics, Orel State University, Orel, 302026, Russia.
Valery ShupletsovResearch & Development Center of Biomedical Photonics, Orel State University, Orel, 302026, Russia.
Alexander AlekseyevDepartment of Anatomy, Operative Surgery and Emergency Medicine, Medical Institute, Orel State University, Orel, 302026, Russia.
Andrian MamoshinResearch & Development Center of Biomedical Photonics, Orel State University, Orel, 302026, Russia.
Andrey DunaevResearch & Development Center of Biomedical Photonics, Orel State University, Orel, 302026, Russia.
Orel State University named after I.S. Turgenev · RUUniversity of Oulu · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents the results of the experiments which were performed using the optical biopsy system specially developed for in vivo tissue classification during the percutaneous needle biopsy (PNB) of the liver. The proposed system includes an optical probe of small diameter acceptable for use in the PNB of the liver. The results of the feasibility studies and actual tests on laboratory mice with inoculated hepatocellular carcinoma and in clinical conditions on patients with liver tumors are presented and discussed. Monte Carlo simulations were carried out to assess the diagnostic volume and to trace the sensing depth. Fluorescence and diffuse reflectance spectroscopy measurements were used to monitor metabolic and morphological changes in tissues. The tissue oxygen saturation was evaluated using a recently developed approach to neural network fitting of diffuse reflectance spectra. The Support Vector Machine Classification was applied to identify intact liver and tumor tissues. Analysis of the obtained results shows the high sensitivity and specificity of the proposed multimodal method. This approach allows to obtain information before the tissue sample is taken, which makes it possible to significantly reduce the number of false-negative biopsies.

Indexed as

AgedAnimalsBiopsy, NeedleFeasibility StudiesFemaleHumansLiverLiver NeoplasmsMachine LearningMaleMiceMiddle AgedPilot ProjectsUltrasonography, Interventional

Identifiers

PMID32848190
PMCPMC7449966
OpenAlexW3080613745

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.