CT not useful for COVID-19 Diagnosis: Study published in Ame
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Pneumonia from COVID-19 and from influenza could not be distinguished on CT scans, even with help from artificial intelligence (AI) software, a study from China showed.

The purpose of this study was to investigate differences in CT manifestations of COVID-19 pneumonia and those of influenza virus pneumonia.

Researchers conducted a retrospective study of 52 patients with COVID-19 pneumonia and 45 patients with influenza virus pneumonia. All patients had positive results for the respective viruses from nucleic acid testing and had complete clinical data and CT images. CT findings of pulmonary inflammation, CT score, and length of largest lesion were evaluated in all patients. Mean density, volume, and mass of lesions were further calculated using artificial intelligence software. CT findings and clinical data were evaluated.

-- Between the group of patients with COVID-19 pneumonia and the group of patients with influenza virus pneumonia, the largest lesion close to the pleura (i.e., no pulmonary parenchyma between the lesion and the pleura), mucoid impaction, presence of pleural effusion, and axial distribution showed statistical difference.
-- The properties of the largest lesion, presence of ground-glass opacity, presence of consolidation, mosaic attenuation, bronchial wall thickening, centrilobular nodules, interlobular septal thickening, crazy paving pattern, air bronchogram, unilateral or bilateral distribution, and longitudinal distribution did not show significant differences.
-- In addition, no significant difference was seen in CT score, length of the largest lesion, mean density, volume, or mass of the lesions between the two groups.

Conclusively, Most lesions in patients with COVID-19 pneumonia were located in the peripheral zone and close to the pleura, whereas influenza virus pneumonia was more prone to show mucoid impaction and pleural effusion. However, differentiating between COVID-19 pneumonia and influenza virus pneumonia in clinical practice remains difficult.

Source:: https://www.ajronline.org/doi/full/10.2214/AJR.20.23304
Dr. M●●●●●v D●●●i and 15 others like this37 shares
Dr. k●●●●●●●●r p●●●●●●a
Dr. k●●●●●●●●r p●●●●●●a Internal Medicine
Chinies study always false dont fallow china it could be danger.
Jul 18, 2020Like