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10.3906/sag-2009-270 http://scihub22266oqcxt.onion/10.3906/sag-2009-270 33421971!8283514!33421971     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33421971&cmd=llinks): Failed to open stream: HTTP request failed! 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Evaluation of systemic involvement of Coronavirus disease 2019 through spleen; size and texture analysis |pdf=|usr=}}{{33421971}} gab.com Text Evaluation of systemic involvement of Coronavirus disease 2019 through spleen; size and texture analysis JO: Turk J Med Sci http://www.kidney.de/pget.php?&tw=1&pmid=33421971 #FOAvip BACKGROUND/AIM: To investigate the changes in the spleen size, parenchymal heterogeneity, and computed tomography (CT) texture analysis features of patients diagnosed with Coronavirus disease 2019 (COVID-19) MATERIALS AND METHODS: The size and parenchymal structure of the spleen in 91 patients who underwent thoracic CT examination due to COVID-19 were evaluated. For the evaluation of parenchymal heterogeneity, CT texture analysis was performed using dedicated software (Olea Medical, France). The texture analysis of each case consisted of 15 first-order intensity-based features, 17 gray level co- occurrence matrix-based features, and 9 gray level run length matrix-based features. RESULTS: A total of 91 patients (45 males, 46 females) with a mean age of 54.31 +/- 16.33 years (range: 18-81) were included in the study. A statistically significant decrease in spleen size was seen in the follow-up CT examinations (p < 0.001) whereas no statistically significant difference was found between the Hounsfield unit (HU) values. The radiomics consisted of first-order intensity-based features such as 90th percentile, maximum, interquartile range, range, mean absolute deviation, standard deviation, and variance, all of which showed statistically significant differences (p-values: < 0.001, < 0.001, 0.001, 0.003, 0.001, 0.001, and 0.004, respectively). "Correlation" as a gray level co-occurrence matrix-based feature and "gray level nonuniformity" as a gray level run length matrix-based feature showed statistically differences (p-values: 0.033 and < 0.001, respectively). CONCLUSIONS: Although COVID-19 manifests with lung involvement in the early stage, it can also cause systemic involvement, and the spleen may be one of its target organs. A decrease in the spleen size and parenchymal microstructure changes can be observed in the short follow-up time. It is hoped that the changes in the parenchymal microstructure will be demonstrated by a noninvasive method: texture analysis. Twit Text FOAVip Evaluation of systemic involvement of Coronavirus disease 2019 through spleen; size and texture analysis ????Turk J Med Sci http://www.kidney.de/pget.php?&tw=1&pmid=33421971 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33421971 #FOAvip English Wikipedia <ref>{{Cite pmid|33421971}}</ref> Evaluation of systemic involvement of Coronavirus disease 2019 through spleen; size and texture analysis #MMPMID33421971 Batur A; Kilincer A; Ates F; Aktug Demir N; Ergun R Turk J Med Sci 2021[Jun]; 51 (3): 972-980 PMID33421971show ga BACKGROUND/AIM: To investigate the changes in the spleen size, parenchymal heterogeneity, and computed tomography (CT) texture analysis features of patients diagnosed with Coronavirus disease 2019 (COVID-19) MATERIALS AND METHODS: The size and parenchymal structure of the spleen in 91 patients who underwent thoracic CT examination due to COVID-19 were evaluated. For the evaluation of parenchymal heterogeneity, CT texture analysis was performed using dedicated software (Olea Medical, France). The texture analysis of each case consisted of 15 first-order intensity-based features, 17 gray level co- occurrence matrix-based features, and 9 gray level run length matrix-based features. RESULTS: A total of 91 patients (45 males, 46 females) with a mean age of 54.31 +/- 16.33 years (range: 18-81) were included in the study. A statistically significant decrease in spleen size was seen in the follow-up CT examinations (p < 0.001) whereas no statistically significant difference was found between the Hounsfield unit (HU) values. The radiomics consisted of first-order intensity-based features such as 90th percentile, maximum, interquartile range, range, mean absolute deviation, standard deviation, and variance, all of which showed statistically significant differences (p-values: < 0.001, < 0.001, 0.001, 0.003, 0.001, 0.001, and 0.004, respectively). "Correlation" as a gray level co-occurrence matrix-based feature and "gray level nonuniformity" as a gray level run length matrix-based feature showed statistically differences (p-values: 0.033 and < 0.001, respectively). CONCLUSIONS: Although COVID-19 manifests with lung involvement in the early stage, it can also cause systemic involvement, and the spleen may be one of its target organs. A decrease in the spleen size and parenchymal microstructure changes can be observed in the short follow-up time. It is hoped that the changes in the parenchymal microstructure will be demonstrated by a noninvasive method: texture analysis. |*SARS-CoV-2[MESH] |Adolescent[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19/*diagnosis/epidemiology[MESH] |Comorbidity[MESH] |Female[MESH] |Follow-Up Studies[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Retrospective Studies[MESH] |Spleen/*diagnostic imaging[MESH] |Splenic Diseases/diagnosis/*epidemiology[MESH] |Tomography, X-Ray Computed/*methods[MESH] |Turkey/epidemiology[MESH]Evaluation of systemic involvement of Coronavirus disease 2019 through(epmc).pdf DeepDyve Pubget Overpricing