ArticleAdvances in radiation oncology
Computed Tomography in Radiation Oncology During the Coronavirus Disease 2019 Pandemic.
Article in Advances in radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed, 1 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
During the coronavirus disease 2019 (COVID-19) pandemic, cancer centers must implement effective measures to protect patients and staff from infection with the novel coronavirus. A critical component of this effort is the timely identification of patients undergoing treatment who have COVID-19. Limitations on testing make such efforts challenging. However, the specialty of radiation oncology is unique in its use of computed tomography (CT) imaging for image guidance, and these CT studies have the potential to identify patients with COVID-19 even before they develop symptoms. Several organizations have developed published guidelines for radiologists to identify characteristic findings of COVID-19 on thoracic CT scans. The present article describes these recommendations in order to educate radiation oncologists on how to identify potential cases of COVID-19 and empower physicians in our field to optimally protect patients and staff.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.