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10.1016/j.crad.2020.07.024

http://scihub22266oqcxt.onion/10.1016/j.crad.2020.07.024
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32854921!7420062!32854921
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suck abstract from ncbi


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pmid32854921      Clin+Radiol 2020 ; 75 (11): 877.e1-877.e6
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  • Lung ultrasonography in patients with COVID-19: comparison with CT #MMPMID32854921
  • Ottaviani S; Franc M; Ebstein E; Demaria L; Lheure C; Debray MP; Khalil A; Crestani B; Borie R; Dieude P
  • Clin Radiol 2020[Nov]; 75 (11): 877.e1-877.e6 PMID32854921show ga
  • AIM: To determine whether findings from lung ultrasound and chest high-resolution computed tomography (HRCT) correlate when evaluating COVID-19 pulmonary involvement. MATERIALS AND METHODS: The present prospective single-centre study included consecutive symptomatic patients with reverse transcription polymerase chain reaction (RT-PCR)-proven COVID-19 who were not in the intensive care unit. All patients were assessed using HRCT and ultrasound of the lungs by distinct operators blinded to each other's findings. The number of areas (0-12) with B-lines and/or consolidations was evaluated using ultrasound and compared to the percentage and classification (absent or limited, <10%; moderate, 10-25%; extensive, 25-50%; severe, 50-75%; critical, >75%) of lung involvement on chest HRCT. RESULTS: Data were analysed for 21 patients with COVID-19 (median [range] age 65 [37-90] years, 76% male) and excellent correlation was found between the ultrasound score for B-lines and the classification (p<0.01) and percentage of lung involvement on chest HRCT (r=0.935, p<0.001). In addition, the ultrasound score correlated positively with supplemental oxygen therapy (r=0.45, p=0.041) and negatively with minimal oxygen saturation at ambient air (r=-0.652, p<0.01). CONCLUSION: The present study suggests that among COVID-19 patients, lung ultrasound and HRCT findings agree in quantifying lung involvement and oxygen parameters. In the context of the COVID-19 pandemic, lung ultrasound could be a relevant alternative to chest HRCT.
  • |Adult[MESH]
  • |Age Factors[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |COVID-19[MESH]
  • |Chi-Square Distribution[MESH]
  • |Cohort Studies[MESH]
  • |Coronavirus Infections/*diagnostic imaging/*epidemiology/physiopathology[MESH]
  • |DNA, Viral/analysis[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Italy[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Observer Variation[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*diagnostic imaging/*epidemiology/physiopathology[MESH]
  • |Prospective Studies[MESH]
  • |Real-Time Polymerase Chain Reaction/methods[MESH]
  • |Risk Assessment[MESH]
  • |Severe Acute Respiratory Syndrome/*diagnostic imaging/epidemiology/physiopathology[MESH]
  • |Severity of Illness Index[MESH]
  • |Sex Factors[MESH]
  • |Statistics, Nonparametric[MESH]
  • |Tomography, X-Ray Computed/*methods[MESH]


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