Evidence map›Paper›PMID 40388016›Full record

ArticleIntensive care medicine experimental2025

Approximation of EVLWI in severe COVID-19 pneumonia using quantitative imaging techniques: an observational study.

Jonas Biehler, Marie Brei, Nina Pischke, Sebastian Rasch, Miriam Dibos, Johanna Erber, Roland M Schmid, Rickmer F Braren, Markus R Makowski, Karl-Robert Wichmann and 3 more

Abstract read
In one paragraph

Article in Intensive care medicine experimental, 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
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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

13 authors.

Jonas BiehlerInstitute for Computational Mechanics, Technical University Munich, Boltzmannstr. 15, 85748, Munich, Germany. jonas.biehler@tum.de.ORCID http://orcid.org/0000-0003-3032-1924
Marie BreiInstitute for Computational Mechanics, Technical University Munich, Boltzmannstr. 15, 85748, Munich, Germany.
Nina PischkeInstitute for Computational Mechanics, Technical University Munich, Boltzmannstr. 15, 85748, Munich, Germany.
Sebastian RaschMedizinische Klinik und Poliklinik II, Klinikum Rechts der Isar, Technical University Munich, Ismaninger Straße 22, 81675, Munich, Germany.
Miriam DibosMedizinische Klinik und Poliklinik II, Klinikum Rechts der Isar, Technical University Munich, Ismaninger Straße 22, 81675, Munich, Germany.
Johanna ErberMedizinische Klinik und Poliklinik II, Klinikum Rechts der Isar, Technical University Munich, Ismaninger Straße 22, 81675, Munich, Germany.
Roland M SchmidMedizinische Klinik und Poliklinik II, Klinikum Rechts der Isar, Technical University Munich, Ismaninger Straße 22, 81675, Munich, Germany.
Rickmer F BrarenInstitute for Diagnostic and Interventional Radiology, Klinikum Rechts der Isar, Technical University Munich Ismaninger, Straße 22, 81675, Munich, Germany.
Markus R MakowskiInstitute for Diagnostic and Interventional Radiology, Klinikum Rechts der Isar, Technical University Munich Ismaninger, Straße 22, 81675, Munich, Germany.
Karl-Robert WichmannInstitute for Computational Mechanics, Technical University Munich, Boltzmannstr. 15, 85748, Munich, Germany.
Kei Wieland MuellerInstitute for Computational Mechanics, Technical University Munich, Boltzmannstr. 15, 85748, Munich, Germany.
Wolfgang A WallInstitute for Computational Mechanics, Technical University Munich, Boltzmannstr. 15, 85748, Munich, Germany.
Tobias LahmerMedizinische Klinik und Poliklinik II, Klinikum Rechts der Isar, Technical University Munich, Ismaninger Straße 22, 81675, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to approximate the level of extravascular lung water (EVLW) in patients with severe COVID-19 pneumonia using quantitative imaging techniques. The elevation of EVLW is known to correlate with the degree of diffuse alveolar damage and linked with the mortality of critically ill patients. Transpulmonary thermodilution (TPTD) is the gold standard technique to estimate the total amount of EVLW, but it is invasive and requires specialized equipment and trained personnel.

methodsThe study included patients with severe COVID-19 who required chest CT scanning within the first 48 h of Intensive Care Unit (ICU) admission and had TPTD monitoring. Using in-house software tools for automatic semantic segmentation, lung masks were obtained for estimating the EVLW content. The results were compared with the TPTD measurements.

resultsThe results demonstrate a significant correlation between EVLW-TPTP measured by thermodilution and EVLW-CT estimated from the patient's CT-image (r = 0.629, p = 0.0014).

conclusionThe study showed that quantitative imaging techniques using chest CT-scans could be used as a convenient and low-cost option for ICUs without TPTD equipment for the assessment of EVLW in severe COVID-19 pneumonia.

Indexed as

ARDSExtravascular lung waterPulmonary edemaQuantitative image analysis

Identifiers

PMID40388016
PMCPMC12089548

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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.