Evidence map›Paper›PMID 39563476›Full record

ReviewCritical care (London, England)2024

Electrical impedance tomography monitoring in adult ICU patients: state-of-the-art, recommendations for standardized acquisition, processing, and clinical use, and future directions.

Gaetano Scaramuzzo, Bertrand Pavlovsky, Andy Adler, Walter Baccinelli, Dani L Bodor, L Felipe Damiani, Guillaume Franchineau, Juliette Francovich, Inéz Frerichs, Juan A Sánchez Giralt and 17 more

Registry-linked trialAbstract readReview
In one paragraph

Review in Critical care (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07494006 (Association Between Spontaneous Breathing Mode and Hypoxemia During One-Lung Ventilation Under General Anesthesia), which is not on this map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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.

NCT07494006 enrolling by invitationnot on this mapstarted 2025, after this paper: background citation

Association Between Spontaneous Breathing Mode and Hypoxemia During One-Lung Ventilation Under General Anesthesia

TypeobservationalSponsorPeking University People's HospitalRan2025 to 2026Enrolled44ConditionsLung Cancer, OLV, Hypoxemia During Surgery
3 · Its place in the literature

Who cites it

56 citing papers in PubMed.

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  12. [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
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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

27 authors.

Gaetano ScaramuzzoDepartment of Translational Medicine, University of Ferrara, Ferrara, Italy.
Bertrand PavlovskyMedical Intensive Care Unit, Vent'Lab, Angers University Hospital, University of Angers, 4 Rue Larrey, 49933, Angers Cedex 9, France.
Andy AdlerSystems and Computer Engineering, Carleton University, Ottawa, Canada.
Walter BaccinelliNetherlands eScience Center, Amsterdam, The Netherlands.
Dani L BodorNetherlands eScience Center, Amsterdam, The Netherlands.
L Felipe DamianiFacultad de Medicina, Escuela de Ciencias de La Salud, Pontificia Universidad Catolica de Chile, Santiago, Chile.
Guillaume FranchineauService de Medecine Intensive Reanimation, Centre Hospitalier Intercommunal de Poissy-Saint-Germain-en-Laye, Poissy, France.
Juliette FrancovichDepartment of Intensive Care Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.
Inéz FrerichsDepartment of Anesthesiology and Intensive Care Medicine, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel, Germany.
Juan A Sánchez GiraltIntensive Care Unit, Hospital Universitario La Princesa, Madrid, Spain.
Bartłomiej GrychtolSystems and Computer Engineering, Carleton University, Ottawa, Canada.
Huaiwu HeState Key Laboratory of Complex Severe and Rare Diseases, Department of Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Bhushan H KatiraDepartment of Pediatrics, Washington University, St. Louis, MO, USA.
Alette A KoopmanDivision of Paediatric Critical Care Medicine, Department of Paediatrics, Beatrix Children's Hospital, University Medical Center Groningen, Groningen, The Netherlands.
Steffen LeonhardtChair for Medical Information Technology, RWTH Aachen University, Aachen, Germany.
Luca S MengaInterdepartmental Division of Critical Care Medicine, Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael's Hospital, University of Toronto, Toronto, Canada.
Amne MousaDepartment of Intensive Care Medicine, Amsterdam UMC, Amsterdam, The Netherlands.
Mariangela PellegriniHedenstierna Laboratory, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Thomas PirainoDepartment of Anesthesia, Division of Critical Care, McMaster University, Hamilton, ON, Canada.
Paolo PrianiDepartment of Translational Medicine, University of Ferrara, Ferrara, Italy.
Peter SomhorstDepartment of Intensive Care Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.
Elena SpinelliDepartment of Anesthesia, Critical Care and Emergency, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122, Milan, Italy.
Claas HändelDepartment of Anesthesiology and Intensive Care Medicine, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel, Germany.
Fernando Suárez-SipmannIntensive Care Unit, Hospital Universitario La Princesa, Madrid, Spain.
Jantine J WisseDepartment of Intensive Care Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.
Tobias BecherDepartment of Anesthesiology and Intensive Care Medicine, University Medical Center Schleswig-Holstein, Campus Kiel, Kiel, Germany.
Annemijn H JonkmanDepartment of Intensive Care Medicine, Erasmus Medical Center, Rotterdam, The Netherlands. a.jonkman@erasmusmc.nl.

Funding

Netherlands eScience Center NLESC.OEC.2022.002
6 · The paper itself

Abstract

Electrical impedance tomography (EIT) is an emerging technology for the non-invasive monitoring of regional distribution of ventilation and perfusion, offering real-time and continuous data that can greatly enhance our understanding and management of various respiratory conditions and lung perfusion. Its application may be especially beneficial for critically ill mechanically ventilated patients. Despite its potential, clear evidence of clinical benefits is still lacking, in part due to a lack of standardization and transparent reporting, which is essential for ensuring reproducible research and enhancing the use of EIT for personalized mechanical ventilation. This report is the result of a four-day expert meeting where we aimed to promote the consistent and reliable use of EIT, facilitating its integration into both clinical practice and research, focusing on the adult intensive care patient. We discuss the state-of-the-art regarding EIT acquisition and processing, applications during controlled ventilation and spontaneous breathing, ventilation-perfusion assessment, and novel future directions.

Indexed as

Electric ImpedanceIntensive Care UnitsMonitoring, PhysiologicTomographyAdultCritical IllnessHumansRespiration, ArtificialElectrical impedance tomographyLung perfusionMechanical ventilationRespiratory monitoringSignal processingVentilation distribution

Identifiers

PMID39563476
PMCPMC11577873

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Registered trials

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.