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Evaluation of chest CT-scan appearances of COVID-19 according to RSNA classification system.
Arian, Arvin; Gity, Masoumeh; Kolahi, Shahriar; Khani, Sina; Ahmadi, Mehran Arab; Salehi, Mohammadreza; Delazar, Sina.
Afiliação
  • Arian A; Department of Radiology, Tehran University of Medical Science, Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences (TUMS), Tehran, Iran.
  • Gity M; Department of Radiology, Tehran University of Medical Science, Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences (TUMS), Tehran, Iran.
  • Kolahi S; Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences (TUMS), Tehran, Iran.
  • Khani S; Students Research Committee, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Ahmadi MA; Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences (TUMS), Tehran, Iran.
  • Salehi M; Department of Infectious Diseases, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
  • Delazar S; Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences (TUMS), Tehran, Iran.
J Family Med Prim Care ; 11(8): 4410-4416, 2022 Aug.
Article em En | MEDLINE | ID: mdl-36353019
ABSTRACT

Background:

The Radiologic Society of North America (RSNA) divides patients into four sections negative, atypical, indeterminate, and typical coronavirus disease 2019 (COVID-19) pneumonia based on their computed tomography (CT) scan findings. Herein, we evaluate the frequency of the chest CT-scan appearances of COVID-19 according to each RSNA categorical group.

Methods:

A total of 90 patients with real-time reverse transcriptase-polymerase chain reaction (RT-PCR)-confirmed COVID-19 were enrolled in this study and differences in age, sex, cardiac characteristics, and imaging features of lung parenchyma were evaluated in different categories of RSNA classification.

Results:

According to the RSNA classification 87.8, 5.56, 4.44, and 2.22% of the patients were assigned as typical, indeterminate, atypical, and negative, respectively. The proportion of "atypical" patients was higher in the patients who had mediastinal lymphadenopathy and pleural effusion. Moreover, ground-glass opacity (GGO) and consolidation were more pronounced in the lower lobes and left lung compared to the upper lobes and right lung, respectively. While small nodules were mostly seen in the atypical group, small GGO was associated with the typical group, especially when it is present in the right lung and indeterminate group.

Conclusion:

Regardless of its location, non-round GGO is the most prevalent finding in the typical group of the RSNA classification systems. Mediastinal lymphadenopathy, pleural effusion, and small nodules are mostly observed in the atypical group and small GGO in the right lung is mostly seen in the typical group.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Family Med Prim Care Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Irã

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Family Med Prim Care Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Irã