دورية أكاديمية
A novel, automated, quantification of abnormal lung parenchyma in patients with COVID-19 infection: Initial description of feasibility and association with clinical outcome.
| العنوان: | A novel, automated, quantification of abnormal lung parenchyma in patients with COVID-19 infection: Initial description of feasibility and association with clinical outcome. |
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| المؤلفون: | Noll E; Department of Anesthesiology and Intensive Care, Hautepierre Hospital, Strasbourg University Hospital, France. Electronic address: eric.noll@chru-strasbourg.fr., Soler L; Digestive and Endocrine Surgery Department, Nouvel Hôpital Civil, Strasbourg, France; Visible Patient, Strasbourg, France., Ohana M; Department of Radiology, Nouvel Hôpital Civil, Strasbourg University Hospital, France., Ludes PO; Department of Anesthesiology and Intensive Care, Hautepierre Hospital, Strasbourg University Hospital, France; Equipe d'Accueil 3072, Medical School, Strasbourg University, Strasbourg, France., Pottecher J; Department of Anesthesiology and Intensive Care, Hautepierre Hospital, Strasbourg University Hospital, France; Equipe d'Accueil 3072, Medical School, Strasbourg University, Strasbourg, France., Bennett-Guerrero E; Department of Anesthesiology, Stony Brook Medicine, New-York, USA., Veillon F; Department of Radiology, Hautepierre Hospital, Strasbourg University Hospital, France., Goichot B; Department of Internal Medicine, Hautepierre Hospital, Strasbourg University Hospital, France., Schneider F; Médecine Intensive-Réanimation, Hautepierre Hospital, Strasbourg University Hospital, Strasbourg, France., Meyer N; Department of Biostatistics, Strasbourg University Hospital, France., Diemunsch P; Department of Anesthesiology and Intensive Care, Hautepierre Hospital, Strasbourg University Hospital, France; Institut Hospitalo-Universitaire 'Image-Guided Surgery', Strasbourg University Hospital, Strasbourg, France; Equipe d'Accueil 3072, Medical School, Strasbourg University, Strasbourg, France. |
| المصدر: | Anaesthesia, critical care & pain medicine [Anaesth Crit Care Pain Med] 2021 Feb; Vol. 40 (1), pp. 100780. Date of Electronic Publication: 2020 Nov 13. |
| نوع المنشور: | Journal Article; Observational Study |
| اللغة: | English |
| بيانات الدورية: | Publisher: Published by Elsevier Masson SAS on behalf of the Société française d'anesthésie et de réanimation (Sfar) Country of Publication: France NLM ID: 101652401 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2352-5568 (Electronic) Linking ISSN: 23525568 NLM ISO Abbreviation: Anaesth Crit Care Pain Med Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: Issy-les-Moulineaux cedex, France : Published by Elsevier Masson SAS on behalf of the Société française d'anesthésie et de réanimation (Sfar), [2015]- |
| مواضيع طبية MeSH: | COVID-19/*diagnostic imaging , Lung/*diagnostic imaging , Lung Volume Measurements/*methods , Tomography, X-Ray Computed/*methods, Algorithms ; Automation ; Feasibility Studies ; Female ; Humans ; Male ; Middle Aged ; Reproducibility of Results ; Retrospective Studies ; Severity of Illness Index ; Software ; Supine Position ; Time Factors ; Treatment Outcome ; Triage |
| مستخلص: | Objective: Ground-glass opacities are the most frequent radiologic features of COVID-19 patients. We aimed to determine the feasibility of automated lung volume measurements, including ground-glass volumes, on the CT of suspected COVID-19 patients. Our goal was to create an automated and quantitative measure of ground-glass opacities from lung CT images that could be used clinically for diagnosis, triage and research. Design: Single centre, retrospective, observational study. Measurements: Demographic data, respiratory support treatment (synthetised in the maximal respiratory severity score) and CT-images were collected. Volume of abnormal lung parenchyma was measured with conventional semi-automatic software and with a novel automated algorithm based on voxels X-Ray attenuation. We looked for the relationship between the automated and semi-automated evaluations. The association between the ground-glass opacities volume and the maximal respiratory severity score was assessed. Main Results: Thirty-seven patients were included in the main outcome analysis. The mean duration of automated and semi-automated volume measurement process were 15 (2) and 93 (41) min, respectively (p=8.05*10 -8 ). The intraclass correlation coefficient between the semi-automated and automated measurement of ground-glass opacities and restricted normally aerated lung were both superior to 0.99. The association between the automated measured lung volume and the maximal clinical severity score was statistically significant for the restricted normally aerated (p=0.0097, effect-size: -385mL) volumes and for the ratio of ground-glass opacities/restricted normally aerated volumes (p=0.027, effect-size: 3.3). Conclusion: The feasibility and preliminary validity of automated impaired lung volume measurements in a high-density COVID-19 cluster was confirmed by our results. (Copyright © 2020 Société française d'anesthésie et de réanimation (Sfar). Published by Elsevier Masson SAS. All rights reserved.) |
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| فهرسة مساهمة: | Keywords: ARDS; COVID-19; CT-scan; Infectious disease; Severity assessment; Triage |
| تواريخ الأحداث: | Date Created: 20201116 Date Completed: 20210407 Latest Revision: 20230207 |
| رمز التحديث: | 20240628 |
| مُعرف محوري في PubMed: | PMC7664353 |
| DOI: | 10.1016/j.accpm.2020.10.014 |
| PMID: | 33197638 |
| قاعدة البيانات: | MEDLINE |
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Full Text Finder | تدمد: | 2352-5568 |
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| DOI: | 10.1016/j.accpm.2020.10.014 |