ArticleIntensive care medicine experimental2019
Dynamic single-slice CT estimates whole-lung dual-energy CT variables in pigs with and without experimental lung injury.
Article in Intensive care medicine experimental, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed.
- A novel tree shrew model of lipopolysaccharide-induced acute respiratory distress syndrome.Journal of advanced research · 2024Article
- Lung aeration, ventilation, and perfusion imaging.Current opinion in critical care · 2022Review
- Simulation-based optimisation to quantify heterogeneity of specific ventilation and perfusion in the lung by the Inspired Sinewave Test.Scientific reports · 2021Article
- Bedside monitoring of lung volume available for gas exchange.Intensive care medicine experimental · 2021Article
- Real-time effects of PEEP and tidal volume on regional ventilation and perfusion in experimental lung injury.Intensive care medicine experimental · 2020Article
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Authors and funding
9 authors.
Funding
Abstract
backgroundDynamic single-slice CT (dCT) is increasingly used to examine the intra-tidal, physiological variation in aeration and lung density in experimental lung injury. The ability of dCT to predict whole-lung values is unclear, especially for dual-energy CT (DECT) variables. Additionally, the effect of inspiration-related lung movement on CT variables has not yet been quantified.
methodsEight domestic pigs were studied under general anaesthesia, including four following saline-lavage surfactant depletion (lung injury model). DECT, dCT and whole-lung images were collected at 12 ventilatory settings. Whole-lung single energy scans images were collected during expiratory and inspiratory apnoeas at positive end-expiratory pressures from 0 to 20 cmH
resultsMean CT density and volume fractions of soft tissue, gas, iodinated blood, atelectasis, poor aeration, normal aeration and overdistension correlated between dCT and the whole lung (r
conclusionsOverall, dCT closely approximates whole-lung aeration and density. This approximation is improved by inspiration where a decrease in CT density and atelectasis can be interpreted as physiological rather than artefactual.
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