• Users Online: 381
  • Print this page
  • Email this page
Year : 2022  |  Volume : 11  |  Issue : 2  |  Page : 124-127

Correlation of Radiological Findings on High-Resolution Computed Tomography Chest in Vaccinated and Unvaccinated COVID-19 Patients from Eastern India

Department of Radio-diagnosis, Kalinga Institute of Medical Sciences, Bhubaneswar, Odisha, India

Correspondence Address:
Dr. Roopak Dubey
Department of Radio-diagnosis, Kalinga Institute of Medical Sciences, Patia, Bhubaneswar, Odisha
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/ijrc.ijrc_148_21

Rights and Permissions

Background: In this coronavirus disease-2019 (COVID-19) pandemic, safe and effective preventative vaccines are essential to contain the pandemic, which has had severe medical, economic, and societal consequences, despite some people still becoming infected after receiving immunisation. Methods: A total of 200 patients were examined and split into two groups: (1) 100 consecutive COVID-19-positive cases who had been vaccinated and (2) 100 consecutive COVID-19-positive patients with no vaccination. At the time of the scan, the patient's vaccination status was noted. Results: The computed tomography severity score (CTSS) of unvaccinated individuals was found to be considerably greater than that of partly or fully vaccinated patients (median 13 vs. 7, P < 0.001). Completely vaccinated individuals had a considerably lower median CTSS than partly vaccinated patients (6 vs. 9, P < 0.001). Conclusions: Individuals should be thoroughly vaccinated to avoid major lung disease. As a result, stronger dedication and motivating efforts should be made worldwide to improve the COVID-19 vaccination program.

Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded30    
    Comments [Add]    

Recommend this journal