Evidence map›Paper›PMID 29373611›Full record

ArticlePloS one2018

Accuracy and reliability of noninvasive stroke volume monitoring via ECG-gated 3D electrical impedance tomography in healthy volunteers.

Fabian Braun, Martin Proença, Andy Adler, Thomas Riedel, Jean-Philippe Thiran, Josep Solà

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.7field-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

14 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Simultaneous Acquisition of EIT and ECG Signals on Active EIT Electrodes.IEEE transactions on bio-medical engineering · 2025
    Article
  5. Article
  6. [Research progress on electrical impedance tomography in pulmonary perfusion].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Review
  7. Article
  8. What is new in respiratory monitoring?Journal of clinical monitoring and computing · 2022
    Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. 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

6 authors at 4 institutions in 2 countries.

Fabian BraunSystems Division, Centre Suisse d'Electronique et de Microtechnique (CSEM), CH-2002 Neuchâtel, Switzerland.ORCID 0000-0002-0864-2804
Martin ProençaSystems Division, Centre Suisse d'Electronique et de Microtechnique (CSEM), CH-2002 Neuchâtel, Switzerland.
Andy AdlerSystems and Computer Engineering, Carleton University, Ottawa, ON K1S 5B6, Canada.
Thomas RiedelCantonal Hospital Graubuenden, CH-7000 Chur, Switzerland.
Jean-Philippe ThiranSignal Processing Laboratory (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.
Josep SolàSystems Division, Centre Suisse d'Electronique et de Microtechnique (CSEM), CH-2002 Neuchâtel, Switzerland.
Swiss Center for Electronics and Microtechnology (Switzerland) · CHCarleton University · CAÉcole Polytechnique Fédérale de Lausanne · CHUniversity of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac output (CO) and stroke volume (SV) are parameters of key clinical interest. Many techniques exist to measure CO and SV, but are either invasive or insufficiently accurate in clinical settings. Electrical impedance tomography (EIT) has been suggested as a noninvasive measure of SV, but inconsistent results have been reported. Our goal is to determine the accuracy and reliability of EIT-based SV measurements, and whether advanced image reconstruction approaches can help to improve the estimates. Data were collected on ten healthy volunteers undergoing postural changes and exercise. To overcome the sensitivity to heart displacement and thorax morphology reported in previous work, we used a 3D EIT configuration with 2 planes of 16 electrodes and subject-specific reconstruction models. Various EIT-derived SV estimates were compared to reference measurements derived from the oxygen uptake. Results revealed a dramatic impact of posture on the EIT images. Therefore, the analysis was restricted to measurements in supine position under controlled conditions (low noise and stable heart and lung regions). In these measurements, amplitudes of impedance changes in the heart and lung regions could successfully be derived from EIT using ECG gating. However, despite a subject-specific calibration the heart-related estimates showed an error of 0.0 ± 15.2 mL for absolute SV estimation. For trending of relative SV changes, a concordance rate of 80.9% and an angular error of -1.0 ± 23.0° were obtained. These performances are insufficient for most clinical uses. Similar conclusions were derived from lung-related estimates. Our findings indicate that the key difficulty in EIT-based SV monitoring is that purely amplitude-based features are strongly influenced by other factors (such as posture, electrode contact impedance and lung or heart conductivity). All the data of the present study are made publicly available for further investigations.

Indexed as

Electric ImpedanceAdultAlgorithmsCalibrationElectrocardiographyExerciseFemaleHealthy VolunteersHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedImaging, Three-DimensionalMalePostureReproducibility of ResultsStroke Volume

Identifiers

PMID29373611
PMCPMC5786320
OpenAlexW2785057084

What OpenQuestion holds

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LicenceCC BY
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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.