Evidence map›Paper›PMID 42489760›Full record

ReviewIntensive care medicine experimental2026

Quantitative assessment of lung mechanical properties in ARDS using X-ray computed tomography.

Jian Gao, Roberta Garberi, Emmanuel A Akor, Gaetano Perchiazzi, David W Kaczka

Abstract readReview
In one paragraph

Review in Intensive care medicine experimental, 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
–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.

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

5 authors.

Jian GaoCarver College of Medicine, University of Iowa, Iowa City, IA, USA.
Roberta GarberiDepartment of Anesthesia, University of Iowa, Iowa City, IA, USA.
Emmanuel A AkorRoy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City, IA, USA.
Gaetano PerchiazziThe Hedenstierna Laboratory, Department of Surgical Sciences -- Anaesthesia and Intensive Care Medicine, Uppsala University, Uppsala, Sweden.
David W KaczkaDepartment of Anesthesia, University of Iowa, Iowa City, IA, USA. david-kaczka@uiowa.edu.ORCID http://orcid.org/0000-0003-4378-5242

Funding

Iowa Lung Imaging Training ProgramT32HL144461 · NHLBI · UNIVERSITY OF IOWA · PI HOFFMAN, ERIC ALFRED, REINHARDT, JOSEPH M · 2019 to 2023
$1.6M
Alvar Gullstrand Research Grant ALF-938050 and ALF-1028321NHLBI NIH HHS T32 HL144461NIH HHS T32 HL144461Swedish Heart and Lung Foundation 20220681, 20230767, 20250936U.S. Department of Defense W81XWH-21-1-0507
6 · The paper itself

Abstract

Acute Respiratory Distress Syndrome (ARDS) is marked by spatial heterogeneity in lung structure and mechanical behavior, limiting the ability of global physiologic measurements to guide ventilatory management and prevent ventilator-induced lung injury (VILI). X-ray computed tomography (CT) has emerged as a central imaging modality for characterizing regional differences in lung aeration, deformation, and mechanical properties that underlie such heterogeneity. When combined with quantitative image processing, deformable image registration, and computational modeling, CT enables regional assessment of lung strain, recruitment, and computationally inferred estimates of regional mechanical stress in injured lungs. This review summarizes CT-based methods for the quantitative evaluation of lung mechanical properties in ARDS, including image acquisition, segmentation, aeration analysis, deformable registration, and biomechanical modeling. Experimental and translational evidence is discussed to illustrate how CT has advanced the mechanistic understanding of regional ventilation distribution and deformation patterns that contribute to VILI. Methodological limitations and translational challenges are also discussed. Emerging directions, such as portable, low-dose, and photon counting CT are considered in the context of critically ill patients and their potential use for bedside assessment of lung mechanics.

Indexed as

Acute respiratory distress syndromeDeformable image registrationLung mechanicsVentilator-induced lung injuryX-ray computed tomography

Identifiers

PMID42489760
PMCPMC13396112

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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.