Evidence map›Paper›PMID 42336923›Full record

ArticleScientific reports2026

Detecting regional overdistention during mechanical ventilation using 4-dimensional computed tomography.

Yong Song, David Trevascus, Melissa Preissner, Ella Smalley, Kaye Morgan, Martin Donnelley, Graeme R Zosky, Stephen Dubsky

Abstract read
In one paragraph

Article in Scientific reports, 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

8 authors.

Yong Song *Menzies Institute for Medical Research, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia.
David Trevascus *Department of Mechanical and Aerospace Engineering, Monash University, Melbourne, VIC, Australia.
Melissa PreissnerDepartment of Mechanical and Aerospace Engineering, Monash University, Melbourne, VIC, Australia.
Ella SmalleyMenzies Institute for Medical Research, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia.
Kaye MorganSchool of Physics and Astronomy, Monash University, Clayton, Australia.
Martin DonnelleySchool of Medicine and Robinson Research Institute, Adelaide University, Adelaide, Australia.
Graeme R ZoskyMenzies Institute for Medical Research, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia. Graeme.Zosky@utas.edu.au.
Stephen DubskyDepartment of Mechanical and Aerospace Engineering, Monash University, Melbourne, VIC, Australia.

Funding

AEA Innovate grant IV240100090Cystic Fibrosis Foundation DONNEL21GOFuture Fellowship FT180100374Medical Research Future Fund RFRHPSI000013Multi-modal Australian ScienceS Imaging and Visualization Environment eu92National Health and Medical Research Council APP1160774
6 · The paper itself

Abstract

Mechanical ventilation (MV) is a critical intervention for managing respiratory compromise and acute respiratory conditions. However, MV can also cause ventilator-induced lung injury (VILI) through mechanisms such as volutrauma, atelectrauma, and biotrauma. Conventional global pressure-volume (PV) loop analysis cannot capture regional mechanical heterogeneity within the lungs, which is central to amplifying VILI, particularly in the context of pre-existing lung injury. In this study, we employed four-dimensional computed tomography (4DCT) combined with propagation-based phase-contrast X-ray imaging to evaluate regional lung mechanics (overdistention and cyclic collapse) in a mouse model subjected to four MV protocols with varying peak inspiratory pressure and positive end-expiratory pressure. Regional PV loop analysis revealed significant overdistention in low tidal volume ventilation settings, which was not apparent in global PV loops, particularly in the group that was ventilated with a low tidal volume and zero PEEP (LVZP). Although global and regional collapse metrics showed no significant differences, regional overdistention indices were markedly higher than global measurements in LVZP, underscoring the limitations of global assessments. These findings highlight the utility of 4DCT for detecting subtle regional mechanical stress and support the integration of regional metrics into MV strategies to enhance lung protection and reduce the risk of VILI.

Indexed as

Four-Dimensional Computed TomographyLungRespiration, ArtificialVentilator-Induced Lung InjuryAnimalsMicePositive-Pressure RespirationRespiratory MechanicsTidal VolumeLung imagingMechanical ventilationOverdistentionVentilator-induced lung injuryX-ray velocimetry

Identifiers

PMID42336923
PMCPMC13578683

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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.