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Comprehensive literature review on the radiographic findings, imaging modalities, and the role of radiology in the COVID-19 pandemic.
Pal, Aman; Ali, Abulhassan; Young, Timothy R; Oostenbrink, Juan; Prabhakar, Akul; Prabhakar, Amogh; Deacon, Nina; Arnold, Amar; Eltayeb, Ahmed; Yap, Charles; Young, David M; Tang, Alan; Lakshmanan, Subramanian; Lim, Ying Yi; Pokarowski, Martha; Kakodkar, Pramath.
  • Pal A; School of Medicine, National University of Ireland Galway, Galway H91 TK33, Galway, Ireland.
  • Ali A; School of Medicine, National University of Ireland Galway, Galway H91 TK33, Galway, Ireland.
  • Young TR; School of Medicine, National University of Ireland Galway, Galway H91 TK33, Galway, Ireland.
  • Oostenbrink J; School of Medicine, National University of Ireland Galway, Galway H91 TK33, Galway, Ireland.
  • Prabhakar A; School of Medicine, National University of Ireland Galway, Galway H91 TK33, Galway, Ireland.
  • Prabhakar A; School of Medicine, National University of Ireland Galway, Galway H91 TK33, Galway, Ireland.
  • Deacon N; School of Medicine, National University of Ireland Galway, Galway H91 TK33, Galway, Ireland.
  • Arnold A; School of Medicine, National University of Ireland Galway, Galway H91 TK33, Galway, Ireland.
  • Eltayeb A; School of Medicine, National University of Ireland Galway, Galway H91 TK33, Galway, Ireland.
  • Yap C; School of Medicine, National University of Ireland Galway, Galway H91 TK33, Galway, Ireland.
  • Young DM; Department of Computer Science, Yale University, New Haven, CO 06520, United States.
  • Tang A; Department of Health Science, Duke University, Durham, NC 27708, United States.
  • Lakshmanan S; School of Medicine, National University of Ireland Galway, Galway H91 TK33, Galway, Ireland.
  • Lim YY; School of Medicine, National University of Ireland Galway, Galway H91 TK33, Galway, Ireland.
  • Pokarowski M; The Hospital for Sick Kids, University of Toronto, Toronto M5S, Ontario, Canada.
  • Kakodkar P; School of Medicine, National University of Ireland Galway, Galway H91 TK33, Galway, Ireland. p.kakodkar1@nuigalway.ie.
World J Radiol ; 13(9): 258-282, 2021 Sep 28.
Article in English | MEDLINE | ID: covidwho-1463946
ABSTRACT
Since the outbreak of the coronavirus disease 2019 (COVID-19) pandemic, over 103214008 cases have been reported, with more than 2231158 deaths as of January 31, 2021. Although the gold standard for diagnosis of this disease remains the reverse-transcription polymerase chain reaction of nasopharyngeal and oropharyngeal swabs, its false-negative rates have ignited the use of medical imaging as an important adjunct or alternative. Medical imaging assists in identifying the pathogenesis, the degree of pulmonary damage, and the characteristic features in each imaging modality. This literature review collates the characteristic radiographic findings of COVID-19 in various imaging modalities while keeping the preliminary focus on chest radiography, computed tomography (CT), and ultrasound scans. Given the higher sensitivity and greater proficiency in detecting characteristic findings during the early stages, CT scans are more reliable in diagnosis and serve as a practical method in following up the disease time course. As research rapidly expands, we have emphasized the CO-RADS classification system as a tool to aid in communicating the likelihood of COVID-19 suspicion among healthcare workers. Additionally, the utilization of other scoring systems such as MuLBSTA, Radiological Assessment of Lung Edema, and Brixia in this pandemic are reviewed as they integrate the radiographic findings into an objective scoring system to risk stratify the patients and predict the severity of disease. Furthermore, current progress in the utilization of artificial intelligence via radiomics is evaluated. Lastly, the lesson from the first wave and preparation for the second wave from the point of view of radiology are summarized.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Experimental Studies / Prognostic study / Reviews Language: English Journal: World J Radiol Year: 2021 Document Type: Article Affiliation country: Wjr.v13.i9.258

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Experimental Studies / Prognostic study / Reviews Language: English Journal: World J Radiol Year: 2021 Document Type: Article Affiliation country: Wjr.v13.i9.258