Evidence map›Paper›PMID 41942962›Full record

Observational studyBMC pulmonary medicine2026

Comparative assessment of extravascular lung water index in ARDS patients on veno-venous ECMO: transpulmonary thermodilution versus AI-driven chest CT segmentation.

Matthias Otto, David Mohr, Julia Zimmermann, Nils Rathmann, Christoph Boesing, Manfred Thiel, Joerg Krebs, Thomas Luecke, Patricia R M Rocco, Alice Marguerite Conrad

Abstract readComparative StudyObservational Study
In one paragraph

Observational study in BMC pulmonary medicine, 2026. 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
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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

10 authors.

Matthias Otto *Department of Anesthesiology and Critical Care Medicine, Faculty of Medicine, University Hospital Mannheim, University of Heidelberg, Theodor-Kutzer Ufer 1-3, Mannheim, 68165, Germany.
David Mohr *Department of Anesthesiology and Critical Care Medicine, Faculty of Medicine, University Hospital Mannheim, University of Heidelberg, Theodor-Kutzer Ufer 1-3, Mannheim, 68165, Germany.
Julia ZimmermannDepartment of Anesthesiology and Critical Care Medicine, Faculty of Medicine, University Hospital Mannheim, University of Heidelberg, Theodor-Kutzer Ufer 1-3, Mannheim, 68165, Germany.
Nils RathmannDepartment of Clinical Radiology and Nuclear Medicine, Faculty of Medicine, University Hospital Mannheim, University of Heidelberg, Theodor-Kutzer Ufer 1-3, Mannheim, 68165, Germany.
Christoph BoesingDepartment of Anesthesiology and Critical Care Medicine, Faculty of Medicine, University Hospital Mannheim, University of Heidelberg, Theodor-Kutzer Ufer 1-3, Mannheim, 68165, Germany.
Manfred ThielDepartment of Anesthesiology and Critical Care Medicine, Faculty of Medicine, University Hospital Mannheim, University of Heidelberg, Theodor-Kutzer Ufer 1-3, Mannheim, 68165, Germany.
Joerg KrebsDepartment of Anesthesiology and Critical Care Medicine, Faculty of Medicine, University Hospital Mannheim, University of Heidelberg, Theodor-Kutzer Ufer 1-3, Mannheim, 68165, Germany.
Thomas LueckeDepartment of Anesthesiology and Critical Care Medicine, Faculty of Medicine, University Hospital Mannheim, University of Heidelberg, Theodor-Kutzer Ufer 1-3, Mannheim, 68165, Germany.
Patricia R M RoccoLaboratory of Pulmonary Investigation, Carlos Chagas Filho Institute of Biophysics, Centro de Ciências da Saúde, Federal University of Rio de Janeiro, Avenida Carlos Chagas Filho, 373, Bloco G-014, Ilha do Fundão, Rio de Janeiro, Brazil.
Alice Marguerite ConradDepartment of Anesthesiology and Critical Care Medicine, Faculty of Medicine, University Hospital Mannheim, University of Heidelberg, Theodor-Kutzer Ufer 1-3, Mannheim, 68165, Germany. alice.conrad@umm.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn severe acute respiratory distress syndrome (ARDS) patients on veno-venous extracorporeal membrane oxygenation (VV ECMO), restrictive fluid management reduces pulmonary edema, quantified by extravascular lung water index (EVLWI), and improves outcomes. Bedside EVLWI is commonly assessed using single-indicator transpulmonary thermodilution (TPTD), which is increasingly employed to guide fluid therapy. However, TPTD-derived EVLWI values can be significantly affected by extracorporeal blood flow (ECBF), leading to inaccurate estimates during ECMO. In contrast, artificial intelligence (AI)-based automated lung segmentation of chest computed tomography (CT) enables reliable ECBF-independent visualization and quantification of pulmonary edema (EVLWICT). The primary objective was to compare EVLWI measured by TPTD (EVLWITPTD) with EVLWICT in ARDS patients on VV ECMO. The secondary objective was to derive and validate an ECBF-dependent correction factor to improve the accuracy of EVLWITPTD.

methodsIn this retrospective, single-center observational cohort study of 64 patients with severe ARDS on VV ECMO, routine chest CT images and concurrent TPTD measurements, performed immediately before or after the CT scan, were analyzed. EVLWI was quantified using AI-based automated CT segmentation (EVLWICT) and TPTD (EVLWITPTD), the latter performed immediately before or after the CT scan. A multiple regression model using EVLWICT as the reference was applied to derive an ECBF-dependent correction factor for EVLWITPTD (EVLWITPTDcorr).

resultsEVLWITPTD significantly overestimated pulmonary edema compared to EVLWICT (24.3 [15.8–30.0] vs. 10.2 [5.8–14.8] ml/kg; p < 0.001), with a mean bias of − 12.3 ml/kg and limits of agreement from − 30.9 to 6.2 ml/kg. A correction factor of 3.439 ml/kg per liter of ECBF was identified. After adjustment, EVLWITPTDcorr did not differ significantly from EVLWICT (8.7 [4.2–15.8] vs. 10.2 [5.8–14.8] ml/kg; p = 0.393), with a reduced bias of 0.96 ml/kg and narrower limits of agreement (–16.4 to 18.4 ml/kg).

conclusionIn severe ARDS patients on VV ECMO, EVLWI obtained via TPTD was significantly overestimated due to ECBF interference. TPTD systematically overestimates EVLWI due to ECBF interference. Incorporating an ECBF-adjusted correction factor markedly improves agreement with AI-based CT quantification, enhancing the reliability and clinical applicability of TPTD-derived EVLWI for fluid management in this high-risk population.

trial registrationGerman Clinical Trials Register (DRKS00026246). Registered 14/09/2021. https://drks.de/search/en/trial/DRKS00026246 .

Indexed as

Artificial IntelligenceExtracorporeal Membrane OxygenationExtravascular Lung WaterPulmonary EdemaRespiratory Distress SyndromeTomography, X-Ray ComputedAdultAgedFemaleFluid TherapyHumansLungMaleMiddle AgedRetrospective StudiesThermodilutionAcute respiratory distress syndromeAutomated lung segmentationComputed tomographyExtracorporeal membrane oxygenationExtravascular lung water indexPulmonary edemaTranspulmonary thermodilution

Identifiers

PMID41942962
PMCPMC13081323

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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.