Evidence map›Paper›PMID 35774307›Full record

ArticleBiomedical optics express2022

Compression optical coherence elastography versus strain ultrasound elastography for breast cancer detection and differentiation: pilot study.

Ekaterina V Gubarkova, Aleksander A Sovetsky, Dmitry A Vorontsov, Pavel A Buday, Marina A Sirotkina, Anton A Plekhanov, Sergey S Kuznetsov, Aleksander L Matveyev, Lev A Matveev, Sergey V Gamayunov and 3 more

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 20 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

13 authors at 2 institutions in 1 country.

Ekaterina V GubarkovaPrivolzhsky Research Medical University, Nizhny Novgorod, Russia.
Aleksander A SovetskyInstitute of Applied Physics RAS, Nizhny Novgorod, Russia.
Dmitry A VorontsovNizhny Novgorod Regional Oncologic Hospital, Nizhny Novgorod, Russia.
Pavel A BudayNizhny Novgorod Regional Oncologic Hospital, Nizhny Novgorod, Russia.
Marina A SirotkinaPrivolzhsky Research Medical University, Nizhny Novgorod, Russia.
Anton A PlekhanovPrivolzhsky Research Medical University, Nizhny Novgorod, Russia.ORCID https://orcid.org/0000-0003-0301-5358
Sergey S KuznetsovNizhny Novgorod Regional Oncologic Hospital, Nizhny Novgorod, Russia.
Aleksander L MatveyevInstitute of Applied Physics RAS, Nizhny Novgorod, Russia.
Lev A MatveevInstitute of Applied Physics RAS, Nizhny Novgorod, Russia.
Sergey V GamayunovNizhny Novgorod Regional Oncologic Hospital, Nizhny Novgorod, Russia.
Alexey Y VorontsovNizhny Novgorod Regional Oncologic Hospital, Nizhny Novgorod, Russia.
Vladimir Y ZaitsevInstitute of Applied Physics RAS, Nizhny Novgorod, Russia.ORCID https://orcid.org/0000-0002-2122-2943
Natalia D GladkovaPrivolzhsky Research Medical University, Nizhny Novgorod, Russia.
Nizhny Novgorod Regional Clinical Oncology Center · RUPrivolzhsky Research Medical University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aims of this study are (i) to compare ultrasound strain elastography (US-SE) and compression optical coherence elastography (C-OCE) in characterization of elastically linear phantoms, (ii) to evaluate factors that can cause discrepancy between the results of the two elastographic techniques in application to real tissues, and (iii) to compare the results of US-SE and C-OCE in the differentiation of benign and malignant breast lesions. On 22 patients, we first used standard US-SE for

Identifiers

PMID35774307
PMCPMC9203088
OpenAlexW4223469180

What OpenQuestion holds

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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.