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10.1148/radiol.2021204522

http://scihub22266oqcxt.onion/10.1148/radiol.2021204522
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33560192!7879709!33560192
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suck abstract from ncbi


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pmid33560192      Radiology 2021 ; 299 (3): E262-E279
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  • COVID-19 Imaging: What We Know Now and What Remains Unknown #MMPMID33560192
  • Kanne JP; Bai H; Bernheim A; Chung M; Haramati LB; Kallmes DF; Little BP; Rubin GD; Sverzellati N
  • Radiology 2021[Jun]; 299 (3): E262-E279 PMID33560192show ga
  • Infection with SARS-CoV-2 ranges from an asymptomatic condition to a severe and sometimes fatal disease, with mortality most frequently being the result of acute lung injury. The role of imaging has evolved during the pandemic, with CT initially being an alternative and possibly superior testing method compared with reverse transcriptase-polymerase chain reaction (RT-PCR) testing and evolving to having a more limited role based on specific indications. Several classification and reporting schemes were developed for chest imaging early during the pandemic for patients suspected of having COVID-19 to aid in triage when the availability of RT-PCR testing was limited and its level of performance was unclear. Interobserver agreement for categories with findings typical of COVID-19 and those suggesting an alternative diagnosis is high across multiple studies. Furthermore, some studies looking at the extent of lung involvement on chest radiographs and CT images showed correlations with critical illness and a need for mechanical ventilation. In addition to pulmonary manifestations, cardiovascular complications such as thromboembolism and myocarditis have been ascribed to COVID-19, sometimes contributing to neurologic and abdominal manifestations. Finally, artificial intelligence has shown promise for use in determining both the diagnosis and prognosis of COVID-19 pneumonia with respect to both radiography and CT.
  • |COVID-19/*diagnosis[MESH]
  • |Humans[MESH]
  • |Lung/*diagnostic imaging[MESH]
  • |SARS-CoV-2[MESH]
  • |Sensitivity and Specificity[MESH]


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