Evidence map›Paper›PMID 41091340›Full record

ArticleJournal of clinical monitoring and computing2026

Enhancing tidal volume estimation from electrical impedance tomography (EIT) by applying human anthropometric information.

Amelie Zitzmann, Anna Strübing, Daniel A Reuter, Andreas Waldmann, Stephan H Böhm, Fabian Müller-Graf

Abstract read
In one paragraph

Article in Journal of clinical monitoring and computing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. [Research on electrical impedance tomography for pediatric pneumonia based on an improved radial basis function neural network].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026
    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.

Amelie ZitzmannDepartment of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Medical Centre Rostock, Schillingallee 35, 18057, Rostock, Germany. amelie.zitzmann@med.uni-rostock.de.ORCID 0000-0003-4318-4017
Anna StrübingDepartment of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Medical Centre Rostock, Schillingallee 35, 18057, Rostock, Germany.
Daniel A ReuterDepartment of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Medical Centre Rostock, Schillingallee 35, 18057, Rostock, Germany.
Andreas WaldmannDepartment of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Medical Centre Rostock, Schillingallee 35, 18057, Rostock, Germany.
Stephan H BöhmDepartment of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Medical Centre Rostock, Schillingallee 35, 18057, Rostock, Germany.
Fabian Müller-GrafDepartment of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Medical Centre Rostock, Schillingallee 35, 18057, Rostock, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeElectrical impedance tomography (EIT) is a functional imaging technique to monitor regional ventilation. However, the quantification of clinically used ventilation parameters like tidal volume (VT) has not been possible yet since EIT measures relative and not absolute changes in impedance. Thus, the study aimed to evaluate the relationship between impedance changes (dZ) and VT in humans and to identify influencing factors.

methods27 patients undergoing elective surgery under general anaesthesia were equipped with a commercially available EIT belt. Measurements were performed at four VTs (6, 8, 10 and 12 mL/BW) on each of four PEEP levels (0, 5, 10 and 15 cmH

resultsRegression analysis for individual patients showed good correlations between VT_IBW and normalized dZ (mean R

conclusionNormalized dZ correlated strongly with VT_IBW in the individual ventilated humans but more weakly when analyzing the cohort. PEEP, gender, weight and height were identified as additional influencing factors.

trial registrationThis study was prospectively registered at the German Register of Clinical Studies (Deutsches Register Klinischer Studien; DRKS00027226) on 3rd December 2021.

Indexed as

AnthropometryElectric ImpedanceTidal VolumeTomographyAdultAgedAnesthesia, GeneralBody HeightBody WeightFemaleHumansLinear ModelsMaleMiddle AgedPositive-Pressure RespirationElectrical impedance tomographyRespiratory monitoringTidal volumeVentilation

Identifiers

PMID41091340
PMCPMC12963152

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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.