ArticleIntensive care medicine experimental2014
Validation of computed tomography for measuring lung weight.
Article in Intensive care medicine experimental, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- AI-based organ weight estimation from postmortem computed tomography.Scientific reports · 2026Article
- Computed tomography in ARDS, from morphological insights to AI-powered multi-modal analysis: a narrative review.Journal of intensive care · 2026Review
- Comparative assessment of extravascular lung water index in ARDS patients on veno-venous ECMO: transpulmonary thermodilution versus AI-driven chest CT segmentation.BMC pulmonary medicine · 2026Observational
- Physiology-guided personalized mechanical ventilation to prevent ventilator-induced lung injury.Frontiers in medicine · 2026Review
- Radiomics-enhanced modelling approach for predicting the need for ECMO in ARDS patients: a retrospective cohort study.Scientific reports · 2025Article
- The focal index: a quantitative approach to morphological sub-phenotyping of COVID-19 patients with acute respiratory distress syndrome: a pilot study.Intensive care medicine experimental · 2025Article
- Imaging and pulmonary function techniques in ARDS diagnosis and management: current insights and challenges.Critical care (London, England) · 2025Review
- Approximation of EVLWI in severe COVID-19 pneumonia using quantitative imaging techniques: an observational study.Intensive care medicine experimental · 2025Article
- Effect of respiratory phase on three-dimensional quantitative parameters of pulmonary subsolid nodules in low-dose computed tomography screening for lung cancer.Journal of thoracic disease · 2025Article
- Assessment of recruitment from CT to the bedside: challenges and future directions.Critical care (London, England) · 2025Review
- Quantification of pulmonary edema using automated lung segmentation on computed tomography in mechanically ventilated patients with acute respiratory distress syndrome.Intensive care medicine experimental · 2024Article
- Estimation of normal lung weight index in healthy female domestic pigs.Intensive care medicine experimental · 2024Article
- Early versus late intubation in COVID-19 patients failing helmet CPAP: A quantitative computed tomography study.Respiratory physiology & neurobiology · 2022Article
- Automated Quantitative Lung CT Improves Prognostication in Non-ICU COVID-19 Patients beyond Conventional Biomarkers of Disease.Diagnostics (Basel, Switzerland) · 2021Article
- Extension of Collagen Deposition in COVID-19 Post Mortem Lung Samples and Computed Tomography Analysis Findings.International journal of molecular sciences · 2021Article
- Computed tomography assessment of PEEP-induced alveolar recruitment in patients with severe COVID-19 pneumonia.Critical care (London, England) · 2021Article
- Estimating COVID-19 Pneumonia Extent and Severity From Chest Computed Tomography.Frontiers in physiology · 2021Article
- A quantitative CT parameter for the assessment of pulmonary oedema in patients with acute respiratory distress syndrome.PloS one · 2020Observational
- Changes in quantitative parameters of pulmonary nonsolid nodule induced by lung inflation according to paired inspiratory and expiratory computed tomography imaging.European radiology · 2019Article
- Effects of regional perfusion block in healthy and injured lungs.Intensive care medicine experimental · 2017Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLung weight characterises severity of pulmonary oedema and predicts response to mechanical ventilation. The aim of this study was to evaluate the accuracy of quantitative analysis of thorax computed tomography (CT) for measuring lung weight in pigs with or without pulmonary oedema.
methodsThirty-six pigs were mechanically ventilated with different tidal volumes and positive end-expiratory pressures that did or did not induce pulmonary oedema. After 54 h, they underwent thorax CT (CT in vivo ) and were then sacrificed and exsanguinated. Fourteen pigs underwent a second thorax CT (CTpost-exsang.) after exsanguination. Lungs were excised and weighed with a balance (balancepost-exsang.). Agreement between lung weights measured with the balance (considered as reference) and those estimated by quantitative analysis of CT was assessed with Bland-Altman plots.
resultsOne animal unexpectedly died before CT in vivo . In 35 pigs, lung weight measured with balancepost-exsang. was 371 ± 184 g and that estimated with CT in vivo was 481 ± 189 g (p < 0.001). Bias between methods was -111 g (-35%) and limits of agreement were -176 (-63%) and -46 g (-8%). Measurement error was similar in animals with (-112 ± 45 g; n = 11) or without (-110 ± 27 g; n = 24) pulmonary oedema (p = 0.88). In 14 pigs with thorax CT after exsanguination, lung weight measured with balancepost-exsang. was 342 ± 165 g and that estimated with CTpost-exsang. was 352 ± 160 g (p = 0.02). Bias between methods was -9 g (-4%) and limits of agreement were -36 (-11%) and 17 g (3%). Measurement errors were similar in pigs with (-1 ± 26 g; n = 11) or without (-12 ± 7 g; n = 3) pulmonary oedema (p = 0.12).
conclusionsCompared to the balance, CT obtained in vivo constantly overestimated the lung weight, as it included pulmonary blood (whereas the balance did not). By contrast, CT obtained after exsanguination provided accurate and reproducible results.
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