A Retrospective Cross-sectional Study of High-Resolution Computed tomography Thorax Manifestations in Cancer Patients Suspected to Have Coronavirus Disease 2019 Infection
Abstract
BACKGROUND
The novel coronavirus Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) primarily affects the respiratory system, producing lung findings - notably ground-glass opacities (GGOs) - on high-resolution computed tomography (HRCT) that closely mimic those seen in malignancy-related pulmonary lesions. Cancer patients, owing to their immunocompromised state, are particularly susceptible to COVID-19 infection and carry a worse prognosis. This overlap in radiological findings between COVID-19 pneumonia and malignancy-associated pulmonary changes poses a significant diagnostic challenge, risking misdiagnosis and delayed management.
AIMS AND OBJECTIVES
To study the role of HRCT Thorax in the identification and evaluation of typical manifestations of suspected COVID-19 infection in patients with preexisting malignancies. To identify atypical HRCT features of suspected COVID-19 infection in patients with preexisting malignancies.
MATERIALS AND METHODS
This retrospective cross-sectional study was conducted between August 2020 and February 2021 in the CT section of the Department of Radio-diagnosis at a tertiary care hospital. A total of 100 patients satisfying the inclusion-exclusion criteria, referred for HRCT Thorax with suspected COVID-19 infection and having preexisting malignancies, were enrolled. Categorical variables were presented as number and percentage, and continuous variables as mean ± standard deviation and median. Data were visualized using bar…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 100 participants or records.
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