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Severity and Patterns of COVID-19 Among Sudanese Patients Using High Resolution Computed Tomography: Jabra Isolation Centre Based Study

Received: 19 May 2022     Accepted: 1 June 2022     Published: 8 June 2022
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Abstract

Background: Following the emergence of COVID-19, chest CT exams were utilized as a supplement to RT-PCR for diagnosis and follow-up when RTPCR findings became unavailable. Aims: characterize the patterns and severity of COVID-19 using high resolution computed tomography among Sudanese patients in Jabra Isolation Center, Khartoum State. methods and Materials: A total of 50 patients having COVID-19 who had chest CT and were confirmed positively by RT-PCR were involved in this study. clinical and laboratory data were collected by reviewing the hard medical records. radiology abnormalities were categorized based upon the patterns and distribution within the lungs. The CT-SS was determined by adding individual scores from each of the six lung regions; rated by Likert scale as 0 (0%), 1 (1–25%), 2 (26–50%), 3 (51–75%), or 4 (76–100%). The total severity score was reached by summing the sex lobe scores into mild and severe cases. Results: (33 were men and 17 were women, 26 patients have more than 60 years, they were the majority age group, There were 28 cases of mild and 22 cases of severe disease). Study found that (COVID-19) was distributed as Multi-lesions in 46 cases (92%), bilaterally, and diffused within the lung fields in (39,77%, 41,81% respectively). Peripheral ground glass opacities patterns (GGOs) were the most domain feature. There was a significant difference in distribution of disease between right and left lungs (p < 0.05). Where the right lung was the most infected in both mild and severe cases. The lower lobes of both lungs were the most involved sites by COVID-19 in compare with the upper and middle lobes in both lungs. Conclusions: In COVID-19, thin-section high-resolution chest CT is a critical medical imaging tool for detecting the lung parenchymal diseases. Semi-quantitative CT scoring system can be used to assess the severity of lung involvement rapidly and effectively.

Published in International Journal of Medical Imaging (Volume 10, Issue 2)
DOI 10.11648/j.ijmi.20221002.13
Page(s) 22-28
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

COVID-19, HRCT, Ground Glass Opacities, CT Scoring System

References
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Cite This Article
  • APA Style

    Abdulaziz Hussein, Saida Abdalkreem, Duha Abdu, Abdelmonem Adam, Mohammed Khalifa, et al. (2022). Severity and Patterns of COVID-19 Among Sudanese Patients Using High Resolution Computed Tomography: Jabra Isolation Centre Based Study. International Journal of Medical Imaging, 10(2), 22-28. https://doi.org/10.11648/j.ijmi.20221002.13

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    ACS Style

    Abdulaziz Hussein; Saida Abdalkreem; Duha Abdu; Abdelmonem Adam; Mohammed Khalifa, et al. Severity and Patterns of COVID-19 Among Sudanese Patients Using High Resolution Computed Tomography: Jabra Isolation Centre Based Study. Int. J. Med. Imaging 2022, 10(2), 22-28. doi: 10.11648/j.ijmi.20221002.13

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    AMA Style

    Abdulaziz Hussein, Saida Abdalkreem, Duha Abdu, Abdelmonem Adam, Mohammed Khalifa, et al. Severity and Patterns of COVID-19 Among Sudanese Patients Using High Resolution Computed Tomography: Jabra Isolation Centre Based Study. Int J Med Imaging. 2022;10(2):22-28. doi: 10.11648/j.ijmi.20221002.13

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  • @article{10.11648/j.ijmi.20221002.13,
      author = {Abdulaziz Hussein and Saida Abdalkreem and Duha Abdu and Abdelmonem Adam and Mohammed Khalifa and Aseif Abdalla and Sayd Ahmed Mohammed and Ahmed Balil},
      title = {Severity and Patterns of COVID-19 Among Sudanese Patients Using High Resolution Computed Tomography: Jabra Isolation Centre Based Study},
      journal = {International Journal of Medical Imaging},
      volume = {10},
      number = {2},
      pages = {22-28},
      doi = {10.11648/j.ijmi.20221002.13},
      url = {https://doi.org/10.11648/j.ijmi.20221002.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmi.20221002.13},
      abstract = {Background: Following the emergence of COVID-19, chest CT exams were utilized as a supplement to RT-PCR for diagnosis and follow-up when RTPCR findings became unavailable. Aims: characterize the patterns and severity of COVID-19 using high resolution computed tomography among Sudanese patients in Jabra Isolation Center, Khartoum State. methods and Materials: A total of 50 patients having COVID-19 who had chest CT and were confirmed positively by RT-PCR were involved in this study. clinical and laboratory data were collected by reviewing the hard medical records. radiology abnormalities were categorized based upon the patterns and distribution within the lungs. The CT-SS was determined by adding individual scores from each of the six lung regions; rated by Likert scale as 0 (0%), 1 (1–25%), 2 (26–50%), 3 (51–75%), or 4 (76–100%). The total severity score was reached by summing the sex lobe scores into mild and severe cases. Results: (33 were men and 17 were women, 26 patients have more than 60 years, they were the majority age group, There were 28 cases of mild and 22 cases of severe disease). Study found that (COVID-19) was distributed as Multi-lesions in 46 cases (92%), bilaterally, and diffused within the lung fields in (39,77%, 41,81% respectively). Peripheral ground glass opacities patterns (GGOs) were the most domain feature. There was a significant difference in distribution of disease between right and left lungs (p Conclusions: In COVID-19, thin-section high-resolution chest CT is a critical medical imaging tool for detecting the lung parenchymal diseases. Semi-quantitative CT scoring system can be used to assess the severity of lung involvement rapidly and effectively.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Severity and Patterns of COVID-19 Among Sudanese Patients Using High Resolution Computed Tomography: Jabra Isolation Centre Based Study
    AU  - Abdulaziz Hussein
    AU  - Saida Abdalkreem
    AU  - Duha Abdu
    AU  - Abdelmonem Adam
    AU  - Mohammed Khalifa
    AU  - Aseif Abdalla
    AU  - Sayd Ahmed Mohammed
    AU  - Ahmed Balil
    Y1  - 2022/06/08
    PY  - 2022
    N1  - https://doi.org/10.11648/j.ijmi.20221002.13
    DO  - 10.11648/j.ijmi.20221002.13
    T2  - International Journal of Medical Imaging
    JF  - International Journal of Medical Imaging
    JO  - International Journal of Medical Imaging
    SP  - 22
    EP  - 28
    PB  - Science Publishing Group
    SN  - 2330-832X
    UR  - https://doi.org/10.11648/j.ijmi.20221002.13
    AB  - Background: Following the emergence of COVID-19, chest CT exams were utilized as a supplement to RT-PCR for diagnosis and follow-up when RTPCR findings became unavailable. Aims: characterize the patterns and severity of COVID-19 using high resolution computed tomography among Sudanese patients in Jabra Isolation Center, Khartoum State. methods and Materials: A total of 50 patients having COVID-19 who had chest CT and were confirmed positively by RT-PCR were involved in this study. clinical and laboratory data were collected by reviewing the hard medical records. radiology abnormalities were categorized based upon the patterns and distribution within the lungs. The CT-SS was determined by adding individual scores from each of the six lung regions; rated by Likert scale as 0 (0%), 1 (1–25%), 2 (26–50%), 3 (51–75%), or 4 (76–100%). The total severity score was reached by summing the sex lobe scores into mild and severe cases. Results: (33 were men and 17 were women, 26 patients have more than 60 years, they were the majority age group, There were 28 cases of mild and 22 cases of severe disease). Study found that (COVID-19) was distributed as Multi-lesions in 46 cases (92%), bilaterally, and diffused within the lung fields in (39,77%, 41,81% respectively). Peripheral ground glass opacities patterns (GGOs) were the most domain feature. There was a significant difference in distribution of disease between right and left lungs (p Conclusions: In COVID-19, thin-section high-resolution chest CT is a critical medical imaging tool for detecting the lung parenchymal diseases. Semi-quantitative CT scoring system can be used to assess the severity of lung involvement rapidly and effectively.
    VL  - 10
    IS  - 2
    ER  - 

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Author Information
  • College of Medical Radiological Science, Sudan University of Science and Technology, Khartoum, Sudan

  • College of Medical Radiological Science, Sudan University of Science and Technology, Khartoum, Sudan

  • College of Medical Radiological Science, Sudan University of Science and Technology, Khartoum, Sudan

  • College of Medical Radiological Science, Sudan University of Science and Technology, Khartoum, Sudan

  • College of Medical Radiological Science, Sudan University of Science and Technology, Khartoum, Sudan

  • College of Medical Radiological Science, Sudan University of Science and Technology, Khartoum, Sudan

  • College of Medical Radiological Science, Sudan University of Science and Technology, Khartoum, Sudan

  • College of Medical Radiological Science, Sudan University of Science and Technology, Khartoum, Sudan

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