High Resolution Computed Tomography Chest Findings in Patients with Positive RT-PCR of Covid-19

Autor: Arooma Afzaal, Syed Muhammad Yousaf Farooq, Faisal Ehsan Cheema, Mahnoor, Nimra Yousaf, Misbah Karim, Awon Abbas Malik
Rok vydání: 2022
Zdroj: Pakistan BioMedical Journal. :278-283
ISSN: 2709-2798
2709-278X
DOI: 10.54393/pbmj.v5i7.607
Popis: High-resolution CT chest abnormalities in patients with higher RT-PCR among those with COVID-19 have been poorly studied. It remained unknown what mechanism was responsible for the rise in COVID-19 cases. Objective: Observations from high-resolution chest CT scans in patients with a negative RT-PCR for COVID-19. Methods: A total of 400 male and female samples were collected using a simple random sampling method. The research method used was a descriptive one. The researchers used CT scans and in-depth interviews to compile their data. The current version of SPSS (21.0.0) was utilized for the statistical analysis. Results: There were a total of 245 men and 155 females in the sample pool for this investigation. COVID-19 was present in all of these patients. Based on the findings of the study, the patients were diagnosed with respiratory symptoms as fever, breathlessness, and cough. High resolution computed CT revealed, however, that these patients also have Ground glass opacities, heterogeneous patterns, septal thickening, consolidations, and pleural effusion. The patient population also included smokers. Conclusion: High-resolution computed CT results consistent with COVID-19 infection were found to include ground glassware opacities, mixed patterning, septal thickness, restructurings, CORAD classifications, nodules, bronchiectasis, crazy paving, and pleural effusion. Negative RT-PCR results in people with COVID-19 symptoms (such as cough, illness, fever, and shortness of breath) received little to no attention. The HRCT should be used for the overall diagnosis of COVID-19, and this should be the centre of learning and treatment for the population that tested negative with the RT-PCR.
Databáze: OpenAIRE
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