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http://hdl.handle.net/1942/32839
Title: | Assessment of Small Pulmonary Blood Vessels in COVID-19 Patients Using HRCT | Authors: | Lins, Muriel VANDEVENNE, Jan Thillai, Muhunthan Lavon, Ben R. Lanclus, Maarten Bonte, Stijn Godon, Rik Kendall, Irvin De Backer, Jan De Backer, Wilfried |
Issue Date: | 2020 | Publisher: | ELSEVIER SCIENCE INC | Source: | ACADEMIC RADIOLOGY, 27 (10) , p. 1449 -1455 | Abstract: | Rationale and Objectives: Mounting evidence supports the role of pulmonary hemodynamic alternations in the pathogenesis of COVID-19. Previous studies have demonstrated that changes in pulmonary blood volumes measured on computed tomography (CT) are associated with histopathological markers of pulmonary vascular pruning, suggesting that quantitative CT analysis may eventually be useful in the assessment pulmonary vascular dysfunction more broadly. Materials and Methods: Building upon previous work, automated quantitative CT measures of small blood vessel volume and pulmonary vascular density were developed. Scans from 103 COVID-19 patients and 107 healthy volunteers were analyzed and their results compared, with comparisons made both on lobar and global levels. Results: Compared to healthy volunteers, COVID-19 patients showed significant reduction in BV5 (pulmonary blood volume contained in blood vessels of <5 mm(2)) expressed as BV5/(total pulmonary blood volume; p < 0.0001), and significant increases in BV5-10 and BV 10 (pulmonary blood volumes contained in vessels between 5 and 10 mm(2) and above 10 mm(2), respectively, p < 0.0001). These changes were consistent across lobes. Conclusion: COVID-19 patients display striking anomalies in the distribution of blood volume within the pulmonary vascular tree, consistent with increased pulmonary vasculature resistance in the pulmonary vessels below the resolution of CT. | Notes: | Lavon, BR (corresponding author), FLUIDDA, 228 E 45th St,9th Floor Suite 9E, New York, NY 10017 USA. | Other: | Lavon, BR (corresponding author), FLUIDDA, 228 E 45th St,9th Floor Suite 9E, New York, NY 10017 USA. | Keywords: | COVID-19;COVID-19;Quantitative CT metrics;Quantitative CT metrics;Pulmonary vascular disease;Pulmonary vascular disease | Document URI: | http://hdl.handle.net/1942/32839 | ISSN: | 1076-6332 | e-ISSN: | 1878-4046 | DOI: | 10.1016/j.acra.2020.07.019 | ISI #: | WOS:000576946400016 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2021 |
Appears in Collections: | Research publications |
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