Evidence map›Paper›PMID 35129652›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2022

Non-invasive quantification of acute macrophagic lung inflammation with [

Laurent Bitker, François Dhelft, Sophie Lancelot, Didier Le Bars, Nicolas Costes, Nazim Benzerdjeb, Maciej Orkisz, Jean-Christophe Richard

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Article in European journal of nuclear medicine and molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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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

8 authors at 3 institutions in 2 countries.

Laurent BitkerService de Médecine Intensive - Réanimation, Hôpital de La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France. laurent.bitker@chu-lyon.fr.ORCID http://orcid.org/0000-0002-4698-053X
François DhelftService de Médecine Intensive - Réanimation, Hôpital de La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France.
Sophie LancelotUniversité Lyon 1 Claude Bernard, Lyon, France.
Didier Le BarsUniversité Lyon 1 Claude Bernard, Lyon, France.
Nicolas CostesUniversité Lyon 1 Claude Bernard, Lyon, France.
Nazim BenzerdjebCentre d'Anatomie Et Cytologie Pathologique, Centre Hospitalier Lyon Sud, Hospices Civils de Lyon, Lyon, France.
Maciej OrkiszUniv Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, F-69621, Villeurbanne, France.
Jean-Christophe RichardService de Médecine Intensive - Réanimation, Hôpital de La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France.
Université Claude Bernard Lyon 1 · FRHôpital de la Croix-Rousse · FRHospices Civils de Lyon · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeImaging of acute lung inflammation is pivotal to evaluate innovative ventilation strategies. We aimed to develop and validate a three-tissue compartment kinetic model (3TCM) of [ MATERIAL AND

methodsWe analyzed the data of 38 positron emission tomography (PET) studies performed in 21 swine with or without experimental ARDS, receiving general anesthesia and mechanical ventilation. Model input function was a plasma, metabolite-corrected, image-derived input function measured in the main pulmonary artery. Regional lung analysis consisted in applying both the 3TCM and the two-tissue compartment model (2TCM); in each region, the best model was selected using a selection algorithm with a goodness-of-fit criterion. Regional best model binding potentials (BP

resultsThe 3TCM was preferred in 142 lung regions (62%, 95% confidence interval: 56 to 69%). BP

conclusionTo assess the intensity and spatial distribution of acute macrophagic lung inflammation in the context of experimental ARDS with mechanical ventilation, PET quantification of [

Indexed as

PneumoniaRespiratory Distress SyndromeAnimalsHumansIsoquinolinesMacrophagesPositron-Emission TomographySwineTomography, X-Ray ComputedIsoquinolinesPK 11195[11C](R)-PK11195Acute respiratory distress syndromeInflammationPositron emission tomographyTissue compartment kinetic modelVentilator-induced lung injury

Identifiers

PMID35129652
OpenAlexW4210915185

What OpenQuestion holds

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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.