CT
computed tomography
The reverse transcription–polymerase chain reaction (RT–PCR) test, rapid antigen assays, and chest computed tomography (CT) scans can help diagnose the Omicron variant.
Medical imaging techniques, such as chest X-ray or chest radiographs, computed tomography (CT) scan, and electrocardiogram (ECG) trace images are the most widely known for early discovery and analysis of the coronavirus disease (COVID-19).
computed tomography (CT) scans can be considered as the best way to diagnose Covid-19.
During the pandemic, patients were significantly more likely to be investigated with computered tomography (CT) scan (p ≤ 0.001), present with complicated appendicitis (p = 0.03), and require caecectomy (p = 0.005).
First, we provide a method of data normalization that can handle the diversity of data collected from five different sources using several computed tomography (CT) scanners.
A total body computerized tomography (CT) scan, positron emission tomography (PET) and bone-marrow biopsy showed a stage-II non-Hodgkin lymphoma (NHL).
Parameters recorded were: age, gender, co-morbidities, clinical staging as per institute protocol, vaccination status, oxygen requirement, the requirement of non invasive or invasive ventilation, inflammatory markers like C-Reactive Protein (CRP), ferritin, D dimer, Computed Tomography (CT) severity index, and outcomes.
According to the multispiral computed tomography (CT) chest scans, more than half of the patients (54.2%) had mild disease (category CT-1).
(2) To compare clinical severity with computed tomography (CT) severity score in COVID-19 patients.
84 patients (41.0%) received antibiotics during their hospitalization; however, only 32 patients (15.6%) had signs and symptoms suggestive of an infection, 19 (9.3%) presented pulmonary consolidation on the computed tomography (CT) scan, 20 (9.7%) patients had leukocytosis, 29 (14.1%) had an increased procalcitonin level and only 22 (10.7%) patients had positive microbiological tests.
Chest computed tomography (CT) demonstrated a subpleural consolidation in the inferior lobe of the left lung.
AbstractChest computed tomography (CT) is effective for assessing the severity of coronavirus disease 2019 (COVID-19).
We included those who underwent pulmonary function tests (PFT) and chest computerized tomography (CT) 90-120 days later.
Both chest X-ray and computed tomography (CT) images are capable of accurately diagnosing COVID-19.
Also, the presence of COVID-19 thoracic computed tomography (CT) findings and polypharmacy was associated with increased hospitalization.
As visceral adiposity is associated with severe COVID-19 irrespective of obesity, we aimed to evaluate and compare the predictive value for early intensive care or death of three fat depots (cardiac, visceral and subcutaneous) using computed tomography (CT) at admission for COVID-19 in consecutive patients with and without T2D.
Since the novel coronavirus disease 2019 (COVID-19) outbreak, there has been an unprecedented increase in the acquisition of chest computed tomography (CT) scans.
Primary outcomes were evaluated, such as retinal findings, and secondary outcomes as retinal thickness, choroidal thickness (CT), retinal nerve fiber layer thickness, and ganglion cell layer thickness.
Consequently, several countries are looking at chest computed tomography (CT) for the diagnostic workup of patients with suspected or probable COVID-19 to inform clinical management.
Background: Few studies have focused on predicting the overall survival (OS) of patients affected by SARS-CoV-2 (i.e., COVID-19) using radiomic features (RFs) extracted from computer tomography (CT) images.