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10.1038/s41598-021-84561-7 http://scihub22266oqcxt.onion/10.1038/s41598-021-84561-7 33664342!7933172!33664342     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33664342&cmd=llinks): Failed to open stream: HTTP request failed! 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Quantitative and semi-quantitative CT assessments of lung lesion burden in COVID-19 pneumonia |pdf=|usr=}}{{33664342}} gab.com Text Quantitative and semi-quantitative CT assessments of lung lesion burden in COVID-19 pneumonia JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33664342 #FOAvip This study aimed to clarify and provide clinical evidence for which computed tomography (CT) assessment method can more appropriately reflect lung lesion burden of the COVID-19 pneumonia. A total of 244 COVID-19 patients were recruited from three local hospitals. All the patients were assigned to mild, common and severe types. Semi-quantitative assessment methods, e.g., lobar-, segmental-based CT scores and opacity-weighted score, and quantitative assessment method, i.e., lesion volume quantification, were applied to quantify the lung lesions. All four assessment methods had high inter-rater agreements. At the group level, the lesion load in severe type patients was consistently observed to be significantly higher than that in common type in the applications of four assessment methods (all the p < 0.001). In discriminating severe from common patients at the individual level, results for lobe-based, segment-based and opacity-weighted assessments had high true positives while the quantitative lesion volume had high true negatives. In conclusion, both semi-quantitative and quantitative methods have excellent repeatability in measuring inflammatory lesions, and can well distinguish between common type and severe type patients. Lobe-based CT score is fast, readily clinically available, and has a high sensitivity in identifying severe type patients. It is suggested to be a prioritized method for assessing the burden of lung lesions in COVID-19 patients. Twit Text FOAVip Quantitative and semi-quantitative CT assessments of lung lesion burden in COVID-19 pneumonia ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33664342 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33664342 #FOAvip English Wikipedia <ref>{{Cite pmid|33664342}}</ref> Quantitative and semi-quantitative CT assessments of lung lesion burden in COVID-19 pneumonia #MMPMID33664342 Guan X; Yao L; Tan Y; Shen Z; Zheng H; Zhou H; Gao Y; Li Y; Ji W; Zhang H; Wang J; Zhang M; Xu X Sci Rep 2021[Mar]; 11 (1): 5148 PMID33664342show ga This study aimed to clarify and provide clinical evidence for which computed tomography (CT) assessment method can more appropriately reflect lung lesion burden of the COVID-19 pneumonia. A total of 244 COVID-19 patients were recruited from three local hospitals. All the patients were assigned to mild, common and severe types. Semi-quantitative assessment methods, e.g., lobar-, segmental-based CT scores and opacity-weighted score, and quantitative assessment method, i.e., lesion volume quantification, were applied to quantify the lung lesions. All four assessment methods had high inter-rater agreements. At the group level, the lesion load in severe type patients was consistently observed to be significantly higher than that in common type in the applications of four assessment methods (all the p < 0.001). In discriminating severe from common patients at the individual level, results for lobe-based, segment-based and opacity-weighted assessments had high true positives while the quantitative lesion volume had high true negatives. In conclusion, both semi-quantitative and quantitative methods have excellent repeatability in measuring inflammatory lesions, and can well distinguish between common type and severe type patients. Lobe-based CT score is fast, readily clinically available, and has a high sensitivity in identifying severe type patients. It is suggested to be a prioritized method for assessing the burden of lung lesions in COVID-19 patients. |Adult[MESH] |Age Factors[MESH] |COVID-19/*diagnostic imaging[MESH] |Female[MESH] |Humans[MESH] |Lung/*diagnostic imaging[MESH] |Male[MESH] |Middle Aged[MESH] |Radiography, Thoracic/*methods[MESH] |Retrospective Studies[MESH] |Severity of Illness Index[MESH]Quantitative and semi-quantitative CT assessments of lung lesion burde(epmc).pdf DeepDyve Pubget Overpricing