Evidence map›Paper›PMID 35096416›Full record

ArticleActa radiologica open2022

Do submillisievert-chest CT protocols impact diagnostic quality in suspected COVID-19 patients?

Hans-Martin Thieß, Keno K Bressem, Lisa Adams, Georg Böning, Janis L Vahldiek, Stefan M Niehues

Open access · goldAbstract read
In one paragraph

Article in Acta radiologica open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 37% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Hans-Martin ThießDepartment of Radiology, Charité Universitätsmedizin Berlin Campus Benjamin Franklin, Berlin, Germany.ORCID https://orcid.org/0000-0002-2381-6075
Keno K BressemDepartment of Radiology, Charité, Universitätsmedizin Berlin, Berlin, Germany.
Lisa AdamsDepartment of Radiology, Charité, Universitätsmedizin Berlin, Berlin, Germany.
Georg BöningDepartment of Radiology, Charité, Universitätsmedizin Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0002-8819-6209
Janis L VahldiekDepartment of Radiology, Charité, Universitätsmedizin Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0002-1537-1424
Stefan M NiehuesKlinik für Radiologie, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Charité - Universitätsmedizin Berlin · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the ongoing global SARS-CoV-2 pandemic, there is a high demand for quick and reliable methods for early identification of infected patients. Due to its widespread availability, chest-CT is commonly used to detect early pulmonary manifestations and for follow-ups. PURPOSE: This study aims to analyze image quality and reproducibility of readings of scans using low-dose chest CT protocols in patients suspected of SARS-CoV-2 infection. MATERIALS AND

methodsTwo radiologists retrospectively analyzed 100 low-dose chest CT scans of patients suspected of SARS-CoV-2 infection using two protocols on devices from two vendors regarding image quality based on a Likert scale. After 3 weeks, quality ratings were repeated to allow for analysis of intra-reader in addition to the inter-reader agreement. Furthermore, radiation dose and presence as well as distribution of radiological features were noted.

resultsThe exams' effective radiation doses were in median in the submillisievert range (median of 0.53 mSv, IQR: 0.35 mSv). While most scans were rated as being of optimal quality, 38% of scans were scored as suboptimal, yet only one scan was non-diagnostic. Inter-reader and intra-reader reliability showed almost perfect agreement with Cohen's kappa of 0.82 and 0.87.

conclusionOverall, in this study, we present two protocols for submillisievert low-dose chest CT demonstrating appropriate or better image quality with almost perfect inter-reader and intra-reader agreement in patients suspected of SARS-CoV-2 infection.

Indexed as

adultsCOVID-19image qualitylow-dose CTLungradiation safety

Identifiers

PMID35096416
PMCPMC8796096
OpenAlexW4205432782

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.