CT Scan Finding Characteristics of Confirmed Covid-19 Patients Based on Clinical Symptom Onset Patterns

Dewi Roziqo, Dewi and Anita Widyoningroem, Anita and Prijambodo, Prijambodo and Rosy Setiawati, Rosy CT Scan Finding Characteristics of Confirmed Covid-19 Patients Based on Clinical Symptom Onset Patterns. Indian Journal of Forensic Medicine & Toxicology, 16 (1). pp. 343-351. ISSN 0973-9122

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Abstract

Chest computed tomography (CT) scan is one of the main modalities to detect COVID-19 infection. Several CT scan findings are the hallmark to rapidly detect suspected COVID-19 infection, therefore timely treatment could be administered. This study aims to describe chest CT scan findings of confirmed COVID-19 patients based on clinical symptom onset patterns. This study is a descriptive study with a retrospective design in confirmed COVID-19 patients. Data regarding characteristics of chest CT scan findings and the patient’s history including clinical symptoms onset were collected. There were 123 subjects in this study. The study data were categorized into modified clinical symptom onset patterns which were early, progressive, peak, absorption, and advanced phases. Most of male (57%) and female (43%) patients that were admitted to the hospital were in absorption phase of the disease with fever, cough, and dyspnea as the most prevalent symptoms. Chest CT scan findings of absorption phase included GGO (ground glass opacity) in 28 patients (76%), crazy paving pattern in 18 patients (49%), consolidation in 22 patients (59%), and fibrosis in 31 patients (84%). Chest CT scan findings of confirmed COVID-19 patients vary depending on the phase of the disease. Risk factors and secondary bacterial infection may contribute to long-term persistence of symptoms

Item Type: Article
Subjects: R Medicine > R Medicine (General) > R5-920 Medicine (General)
Divisions: 01. Fakultas Kedokteran > Radiologi
Creators:
CreatorsNIM
Dewi Roziqo, DewiUNSPECIFIED
Anita Widyoningroem, AnitaUNSPECIFIED
Prijambodo, PrijambodoUNSPECIFIED
Rosy Setiawati, RosyNIDN0015027604
Depositing User: arys fk
Date Deposited: 21 Apr 2023 12:12
Last Modified: 21 Apr 2023 12:12
URI: http://repository.unair.ac.id/id/eprint/124281
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