Diagnostic and interventional radiology : official journal of the Turkish Society of Radiology
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Diagn Interv Radiol · Jul 2020
Comparative StudyCT findings of COVID-19 in follow-up: comparison between progression and recovery.
We aimed to retrospectively analyze the imaging changes detected in the follow-up of coronavirus disease 2019 (COVID-19) patients on thin-section computed tomography (CT). ⋯ As COVID-19 progressed, round GGOs tended to evolve into patchy GGOs, consolidation increased, and pleural effusion could be occasionally observed. As COVID-19 resolved, the crazy-paving pattern and air bronchogram significantly decreased.
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Diagn Interv Radiol · Jul 2020
COVID-19 S: A new proposal for diagnosis and structured reporting of COVID-19 on computed tomography imaging.
Because of the widespread use of CT in the diagnosis of COVID 19, indeterminate presentations such as single, few or unilateral lesions amount to a considerable number. We aimed to develop a new classification and structured reporting system on CT imaging (COVID-19 S) that would facilitate the diagnosis of COVID-19 in the most accurate way. ⋯ COVID-19 S CT classification system may meet the needs of radiologists in distinguishing COVID-19 from pneumonia of other etiologies and help optimize patient management and disease control in this pandemic by the use of structured reporting.
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Diagn Interv Radiol · Jul 2020
CT imaging features of COVID-19 pneumonia: initial experience from Turkey.
We aimed to demonstrate the computed tomography (CT) findings observed at the initial presentation of coronavirus disease 2019 (COVID-19) pneumonia and reveal the most frequent infiltration and distribution patterns of the disease. ⋯ Multifocal and bilateral GGO infiltration predominantly distributed in peripheral, posterior, and lower lung areas was the most common infiltration pattern.
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Diagn Interv Radiol · Jul 2020
Strategies for radiology departments in handling the COVID-19 pandemic.
The world is facing an unprecedented global pandemic in the form of the coronavirus disease 2019 (COVID-19) which has ravaged all aspects of life, especially health systems. Radiology services, in particular, are under threat of being overwhelmed by the sheer number of patients affected, unless drastic efforts are taken to contain and mitigate the spread of the virus. Proactive measures, therefore, must be taken to ensure the continuation of diagnostic and interventional support to clinicians, while minimizing the risk of nosocomial transmission among staff and other patients. This article aims to highlight several strategies to improve preparedness, readiness and response towards this pandemic, specific to the radiology department.
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Diagn Interv Radiol · Jul 2020
Comparative StudyInfluence of tube voltage, tube current and newer iterative reconstruction algorithms in CT perfusion imaging in rabbit liver VX2 tumors.
We aimed to explore the influence of tube voltage, current and iterative reconstruction (IR) in computed tomography perfusion imaging (CTPI) and to compare CTPI parameters with microvessel density (MVD). ⋯ CTPI parameters are not affected by tube voltage, current or reconstruction algorithm; HAP can best reflect MVD, but no correlation exists between BV and MVD.