Evaluation of chest computed tomography features in COVID-19: a single-center retrospective study


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Akshat Sanjay Shukla Sanjay Rajendraprasad Shukla Feral Ravi Daruwala

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Abstract

Background: Even though Real-Time Polymerase Chain Reaction (RT-PCR) is a gold standard for confirming COVID-19, it continues to be plagued by a lack of RT-PCR kits and the potential of false-negative results. Hence, during the second wave of COVID-19 in India, Computed Tomography (CT) scan is an emerging diagnostic tool in evaluating the severity of illness in COVID-19 pneumonia. The present study endeavored to assess chest CT features of COVID-19 pneumonia in Indian population.


Methods: This was a single-center, retrospective, observational study conducted in 300 consecutive adults RT-PCR confirmed COVID-19 patients from 1, Jan 2021 to 31, March 2021 at a private radio diagnostic center.  Data regarding baseline demographics, clinical and laboratory characteristics, extent, pattern, and type of abnormal CT findings were noted.


Results: The study population (204 males and 108 females) had mean age of 43.18 ± 8.27 years.  Our study's most common clinical presentation was cough (48.1%) and fever (47.1%), respectively. Lung parenchymal abnormalities were found in 294 (94.2%) patients. Abnormal CT findings revealed the involvement of bilateral (45.6%) and multilobar (42.9%) with a predominant peripheral (92.3%) and posterior (80.8%) distribution. According to the type of opacity, Ground Glass Opacity (GGO) was the dominant abnormality found in 270 (91.8%) patients, in which pure GGO (36.7%), GGO with crazy paving pattern (39.8%), and GGO mixed with consolidation (52.0 %) were noted. Peri-lesional or intralesional segmental or subsegmental pulmonary vessel enlargement was found in 192 (65.3 %) patients.


Conclusion: During the second wave of COVID-19, a chest CT scan is a modality of choice in diagnosing COVID-19 pneumonia and related lung parenchymal changes.




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Shukla A, Shukla S, Daruwala F. Evaluation of chest computed tomography features in COVID-19: a single-center retrospective study. jidhealth [Internet]. 23Nov.2021 [cited 5Dec.2021];4(4):588-94. Available from: https://jidhealth.com/index.php/jidhealth/article/view/172
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