{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["40(1)"],"submitter":["Noll E"],"pubmed_abstract":["<h4>Objective</h4>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.<h4>Design</h4>Single centre, retrospective, observational study.<h4>Measurements</h4>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 att"],"journal":["Anaesthesia, critical care & pain medicine"],"pagination":["100780"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7664353"],"repository":["biostudies-literature"],"pubmed_title":["A novel, automated, quantification of abnormal lung parenchyma in patients with COVID-19 infection: Initial description of feasibility and association with clinical outcome."],"pmcid":["PMC7664353"],"pubmed_authors":["Diemunsch P","Schneider F","Goichot B","Ohana M","Soler L","Pottecher J","Bennett-Guerrero E","Veillon F","Ludes PO","Meyer N","Noll E"],"additional_accession":[]},"is_claimable":false,"name":"A novel, automated, quantification of abnormal lung parenchyma in patients with COVID-19 infection: Initial description of feasibility and association with clinical outcome.","description":"<h4>Objective</h4>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.<h4>Design</h4>Single centre, retrospective, observational study.<h4>Measurements</h4>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 att","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Feb","modification":"2025-04-26T06:59:33.797Z","creation":"2020-11-22T09:49:31Z"},"accession":"S-EPMC7664353","cross_references":{"pubmed":["33197638"],"doi":["10.1016/j.accpm.2020.10.014"]}}