Evidence map›Paper›PMID 40346553›Full record

Observational studyRespiratory research2025

Prognostic value of functional CT imaging in COVID-ARDS: a two-centre prospective observational study.

Mehdi Shekarnabi, Alicia Guillien, Nicolas Terzi, Florian Sigaud, Laurent Bitker, Emmanuel Roux, Touria Ahaouari, Eduardo Enrique Dávila Serrano, Loic Boussel, Gilbert Ferretti and 10 more

Registry-linked trialAbstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Respiratory research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06113276 (Quantitative Computed Tomography for Mortality Risk Stratification in ARDS), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT06113276 unknown statusnot on this map

Quantitative Computed Tomography for Mortality Risk Stratification in ARDS

TypeobservationalSponsorHospices Civils de LyonRan2020 to 2025Enrolled210ConditionsAcute Respiratory Distress SyndromeArmsLow dose computed tomography to evaluate biomechanical parameters in the lung
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

20 authors.

Mehdi ShekarnabiSynchrotron Radiation for Biomedicine Laboratory (STROBE), INSERM UA07, Univ. Grenoble Alpes, Grenoble, France.
Alicia GuillienTeam of environmental epidemiology applied to development and respiratory health, Institute for Advanced Biosciences, Univ Grenoble Alpes, Inserm U1209, CNRS, Grenoble, France.
Nicolas TerziService de Médecine Intensive Réanimation, CHU Grenoble-Alpes, Grenoble, France.
Florian SigaudService de Médecine Intensive Réanimation, CHU Grenoble-Alpes, Grenoble, France.
Laurent BitkerINSA-Lyon, CNRS, INSERM, CREATIS UMR 5220, U1294, Univ. Lyon, Université Claude Bernard Lyon 1, Villeurbanne, U1294, France.
Emmanuel RouxINSA-Lyon, CNRS, INSERM, CREATIS UMR 5220, U1294, Univ. Lyon, Université Claude Bernard Lyon 1, Villeurbanne, U1294, France.
Touria AhaouariSynchrotron Radiation for Biomedicine Laboratory (STROBE), INSERM UA07, Univ. Grenoble Alpes, Grenoble, France.
Eduardo Enrique Dávila SerranoINSA-Lyon, CNRS, INSERM, CREATIS UMR 5220, U1294, Univ. Lyon, Université Claude Bernard Lyon 1, Villeurbanne, U1294, France.
Loic BousselINSA-Lyon, CNRS, INSERM, CREATIS UMR 5220, U1294, Univ. Lyon, Université Claude Bernard Lyon 1, Villeurbanne, U1294, France.
Gilbert FerrettiService de Radiologie Diagnostique Et Interventionnelle, Université Grenoble Alpes, CHU Grenoble-Alpes, Grenoble, France.
Hodane YonisService de Médecine Intensive Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France.
Mehdi MezidiService de Médecine Intensive Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France.
Ines NoirotService de Médecine Intensive Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France.
Louis ChauvelotService de Médecine Intensive Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France.
François DhelftService de Médecine Intensive Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France.
Maxime GailletService de Médecine Intensive Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France.
Valérie SirouxTeam of environmental epidemiology applied to development and respiratory health, Institute for Advanced Biosciences, Univ Grenoble Alpes, Inserm U1209, CNRS, Grenoble, France.
Maciej OrkiszINSA-Lyon, CNRS, INSERM, CREATIS UMR 5220, U1294, Univ. Lyon, Université Claude Bernard Lyon 1, Villeurbanne, U1294, France.
Jean-Christophe RichardINSA-Lyon, CNRS, INSERM, CREATIS UMR 5220, U1294, Univ. Lyon, Université Claude Bernard Lyon 1, Villeurbanne, U1294, France.
Sam BayatSynchrotron Radiation for Biomedicine Laboratory (STROBE), INSERM UA07, Univ. Grenoble Alpes, Grenoble, France. sbayat@chu-grenoble.fr.

Funding

Agence Nationale de la Recherche ANR-11-IDEX-0007Agence Nationale de la Recherche ANR-11-INBS-0006Agence Nationale de la Recherche ANR-11-LABX-0063
6 · The paper itself

Abstract

backgroundPatients with ARDS have heterogeneous lungs which exposes them to the risk of lung injury exacerbation by mechanical ventilation. Functional lung CT imaging gives a comprehensive description of regional lung mechanical behaviour. Here, we investigated whether CT registration-based regional lung function parameters are associated with survival in patients with COVID-ARDS.

methodsWe conducted a two-centre prospective observational study of adult COVID-ARDS patients with an indication for CT within 72 h of onset. Dual volume CT images were aligned using image-registration. Regional lung functional parameters, and their spatial distributions, were analysed by univariable Cox proportional hazard models with survival as the main outcome. Selected variables based on the univariable analysis were included in a stepwise Cox model adjusted for age, sex, body mass index and SAPSII.

results94 patients were included in the study. Recruitment was associated with a higher (HR = 1.45, p = 0.023) hazard of death, while apical (sΔV

conclusionsOur data show that in addition to recruitment, the spatial distribution of specific volume change, a surrogate measure of regional lung ventilation, is associated with the risk of death in mechanically ventilated COVID-19 ARDS patients. Our findings suggest that CT image-registration based functional biomarkers may have prognostic value in COVID-ARDS patients.

trial registrationThis study was retrospectively registered in Clinical Trials under NCT06113276 ( https://clinicaltrials.gov/study/NCT06113276 ) on 27/10/2023.

Indexed as

COVID-19LungRespiratory Distress SyndromeTomography, X-Ray ComputedAdultAgedFemaleHumansMaleMiddle AgedPrognosisProspective StudiesRespiration, ArtificialAcute respiratory distress syndromeComputed tomographyImage registration, lung functional imagingSARS-CoV-2

Identifiers

PMID40346553
PMCPMC12065372

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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.