Evidence map›Paper›PMID 41374564›Full record

ArticleSensors (Basel, Switzerland)2025

Method for Bioimpedance Assessment of Superficial Head Tissue Microcirculation.

Andrey Briko, Pavel Ryazantsev, Artem Gubko, Vladislava Kapravchuk, Sergey Shchukin, Boris Akselrod

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Andrey BrikoBiomedical Department, Bauman Moscow State Technical University, Moscow 105005, Russia.
Pavel RyazantsevBiomedical Department, Bauman Moscow State Technical University, Moscow 105005, Russia.
Artem GubkoPetrovsky National Research Center of Surgery, Moscow 119435, Russia.ORCID 0000-0003-1477-2207
Vladislava KapravchukBiomedical Department, Bauman Moscow State Technical University, Moscow 105005, Russia.
Sergey ShchukinBiomedical Department, Bauman Moscow State Technical University, Moscow 105005, Russia.
Boris AkselrodPetrovsky National Research Center of Surgery, Moscow 119435, Russia.

Funding

Informativeness of instrumental and laboratory methods for assessing microcirculation during cardiac surgeries" FURG-2023-0086
6 · The paper itself

Abstract

Assessment of microcirculation status during surgical interventions is of significant interest for monitoring tissue perfusion and controlling the effectiveness of systemic hemodynamics. This study investigated the applicability of the electrical impedance method for the quantitative assessment of changes in the blood supply to superficial head tissues during cardiac surgeries. Impedance signal recording was performed synchronously with laser Doppler flowmetry, allowing for the comparison of parameter dynamics reflecting microcirculatory processes. Analysis of a set of impedance parameters reflecting the amplitude and temporal characteristics of the pulse signal revealed consistent changes with microvascular indicators obtained by laser Doppler flowmetry. The most pronounced changes in impedance parameters were observed during transitions between key physiological states-induction of anesthesia, initiation of cardiopulmonary bypass, and its termination. This indicates the informativeness of the electrical impedance method for assessing the dynamics of scalp perfusion. The obtained results demonstrate its potential for non-invasive, continuous, and safe monitoring of microcirculation in superficial tissues in the operating room. This approach can be considered as an additional tool for comprehensive assessment of microcirculatory changes and improving the accuracy of tissue perfusion monitoring during cardiac surgeries.

Indexed as

Electric ImpedanceHeadMicrocirculationFemaleHemodynamicsHumansLaser-Doppler FlowmetryMalebioimpedancecardiac surgeryelectrical impedance analysisintraoperative monitoringlaser doppler flowmetrymicrocirculationnon-invasive monitoringtissue perfusion

Identifiers

PMID41374564
PMCPMC12694238

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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.