(2023) COVID-19 diagnostic approaches with an extensive focus on computed tomography in accurate diagnosis, prognosis, staging, and follow-up. Polish Journal of Radiology. e53-e64. ISSN 0137-7183
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Abstract
Although a long time has passed since its outbreak, there is currently no specific treatment for COVID-19, and it seems that the most appropriate strategy to combat this pandemic is to identify and isolate infected individuals. Various clinical diagnosis methods such as molecular techniques, serologic assays, and imaging techniques have been developed to identify suspected patients. Although reverse transcription-quantitative PCR (RT-qPCR) has emerged as a reference standard method for diagnosis of SARS-CoV-2, the high rate of false-negative results and limited supplies to meet current demand are the main shortcoming of this technique. Based on a comprehensive literature review, imaging techniques, particularly computed tomography (CT), show an acceptable level of sensitivity in the diagnosis and follow-up of COVID-19. Indeed, because lung infection or pneumonia is a common complication of COVID-19, the chest CT scan can be an alternative testing method in the early diagnosis and treatment assessment of the disease. In this review, we summarize all the currently available frontline diagnostic tools for the detection of SARS-CoV-2-infected individuals and highlight the value of chest CT scan in the diagnosis, prognosis, staging, management, and follow-up of infected patients.
Item Type: | Article |
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Keywords: | COVID-19 pneumonia SARS-CoV-2 computed tomography CT scan diagnosis follow-up respiratory syndrome coronavirus ct findings amplification technologies pneumonia fibrosis lung Radiology, Nuclear Medicine & Medical Imaging |
Subjects: | WB Practice of Medicine > WB 141-293Diagnosis |
Divisions: | Research Vice-Chancellor Department > Non-Communicable Diseases Research Center |
Page Range: | e53-e64 |
Journal or Publication Title: | Polish Journal of Radiology |
Journal Index: | ISI, Pubmed |
Volume: | 88 |
Identification Number: | https://doi.org/10.5114/pjr.2023.124597 |
ISSN: | 0137-7183 |
Depositing User: | خانم مهتاب اکبری |
URI: | http://eprints.rums.ac.ir/id/eprint/30344 |
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