A SINGLE-CENTRE RETROSPECTIVE AND OBSERVATIONAL INVESTIGATION ON THE MANIFESTATIONS OF COVID-19 ON CHEST HRCT IN THEPOPULATION OF ANDHRA PRADESH,
INDIA
Author:
Pentyla Suneetha1, Ponnambalam Sharmila Bhanu2, Karuppiah Devi Sankar2, Chowdary Kolla Harshith3, Shaik Ahammad Basha4
Affiliation:
1. Department of Radiodiagnosis & Imaging, Narayana Medical College, Chinthareddypalem, Nellore, Andhra Pradesh, India 524003. 2. Department of Anatomy, Narayana Medical College, Chinthareddypalem, Nellore, Andhra Pradesh, India 524003. 3. Final MBBS, Jawaharlal Institute of Postgraduate Medical Education & Research (JIPMER), Puducherry, India 605006. 4. Department of Community Medicine, Narayana Medical College, Chinthareddypalem, Nellore, Andhra Pradesh, India 524003.
Abstract
Background: The clinical symptoms of COVID-19 in conjunction with chest high resolution computed
tomography (HRCT) can give quick screening and determine the disease's severity. HRCT plays an
important role in the evaluation and clinical management of COVID-19, which would benet from a more comprehensive
overview of its clinical diagnosis and therapy. To dene the spectrum of HRCT results in Objective: COVID 19 individuals with
symptoms and to connect HRCT ndings with clinical symptoms of the disease. A retrospective r Methods: esearch of 1513
COVID patients recently diagnosed with COVID-19 and positive RT-PCR test ndings; both sexes were included from the
middle of March to the end of May 2021. The patients were separated into three age groups and their HRCT CT severity scores
(CTSS) were evaluated. Different age groups' clinical symptoms were connected with the derived CTSS. Results: The average
age of the patients was 50.14 percent, with 34% falling between the ages of 35 and 54. The majority of them had fever, cough,
dyspnea, myalgia, and headache, but other symptoms like sore throat, diarrhoea, nausea, anosmia, and chest discomfort
were less common. In the current study, clinical characteristics had the strongest relationship with moderate CTSS. HRCT
ndings include ground-glass opacity (GGO), consolidation, bronchovascular thickening, crazy paving look, subpleural
bands/brosis, and bronchiectasis. In moderate and severe patient groups, the CTSS link with lung lobe distribution and
gender was highly signicant. Bilateral lung distribution changes (83.6%) were more common in group 2 than central and
peripheral distribution changes (70.5%), with lower lobe involvement in both genders. Conclusion: HRCT helps identify
COVID-19's pulmonary symptoms in diagnosis and treatment. Imaging patterns depending on infection duration help
understand pathophysiology and predict illness development and effects. This study may link clinical symptoms to CTSS and
COVID-19 pulmonary changes. It could mean understanding the following wave's features and management. HRCT chest
detects early parenchymal abnormalities, measures disease severity in all symptomatic patients, and diagnoses COVID
infection regardless of RT-PCR status.
Publisher
World Wide Journals
Subject
Insect Science,Ecology, Evolution, Behavior and Systematics,Infectious Diseases,Immunology and Allergy,Medicine (miscellaneous),Epidemiology,Molecular Biology,Biochemistry,Infectious Diseases,Pulmonary and Respiratory Medicine,Aerospace Engineering,Mechanical Engineering,Energy Engineering and Power Technology,Aerospace Engineering,Computer Networks and Communications,Software,Electrical and Electronic Engineering,Communication,Artificial Intelligence,Information Systems,Control and Systems Engineering,Software,Urban Studies,Sociology and Political Science,Development
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