ArticleJournal of thoracic disease2023
Utilizing computed tomography volumetry for size matching prior to lung transplantation: a case series.
Article in Journal of thoracic disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 8 citations in OpenAlex.
- The addition of computed tomography (CT) findings maintains the predictive performance of an existing radiograph-based donor lung acceptability score.The Journal of thoracic and cardiovascular surgery · 2026Article
- Artificial intelligence-driven automated lung sizing from chest radiographs.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2025Article
- Donor-Recipient Mismatch in Lung Transplantation: The Role of Graft Sizing in Clinical Outcomes.Transplant international : official journal of the European Society for Organ Transplantation · 2025Article
- Impact of rapid iodine contrast agent infusion on tracheal diameter and lung volume in CT pulmonary angiography measured with deep learning-based algorithm.Japanese journal of radiology · 2024Article
- Effects of Intravenous Infusion of Iodine Contrast Media on the Tracheal Diameter and Lung Volume Measured with Deep Learning-Based Algorithm.Journal of imaging informatics in medicine · 2024Article
- "Horses for courses" computed tomography or predicted total lung capacity for size matching in lung transplantation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2024Article
Corrections and comments
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Authors and funding
16 authors at 1 institution in 1 country.
Funding
Abstract
Background: Appropriate size matching between donor and recipient is critical for successful pulmonary transplantation. Although surrogate measurements such as height and gender are often utilized to approximate predicted lung volume, these methods provide only a gross estimation with wide variability and poor predictive value. Case Description: A single center exploratory study was conducted in which four patients underwent lung transplantation (LT) with pre-operative computed tomography (CT) volumetry obtained in both the donor and recipient to facilitate decision making regarding organ size and suitability. In four cases in which CT volumetry was used, the lung volumes calculated using surrogate measurements significantly overestimated both donor and recipient lung volumes quantified by CT volumetric analysis. All recipients underwent successful LT without necessary graft downsizing. Conclusions: This is an initial report of prospectively utilizing CT volumetry as an adjunct to decision-making regarding suitability of donor lungs. In these cases, CT volumetry facilitated the confident acceptance of donor lungs that were initially predicted to be oversized based on other clinical measures.
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Registered trials
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