Evidence map›Paper›PMID 34505172›Full record

ArticleEuropean radiology experimental2021

Improved precision of noise estimation in CT with a volume-based approach.

Hendrik Joost Wisselink, Gert Jan Pelgrim, Mieneke Rook, Ivan Dudurych, Maarten van den Berge, Geertruida H de Bock, Rozemarijn Vliegenthart

Abstract read
In one paragraph

Article in European radiology experimental, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

7 authors.

Hendrik Joost WisselinkDepartment of Radiology, EB44, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
Gert Jan PelgrimDepartment of Radiology, EB44, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
Mieneke RookDepartment of Radiology, EB44, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
Ivan DudurychDepartment of Radiology, EB44, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
Maarten van den BergeDepartment of Pulmonology, Groningen Research Institute for Asthma and COPD (GRIAC), University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Geertruida H de BockDepartment of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Rozemarijn VliegenthartDepartment of Radiology, EB44, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands. r.vliegenthart@umcg.nl.ORCID 0000-0002-7262-3376

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessment of image noise is a relevant issue in computed tomography (CT). Noise is routinely measured by the standard deviation of density values (Hounsfield units, HU) within a circular region of interest (ROI). We explored the effect of a spherical volume of interest (VOI) on noise measurements. Forty-nine chronic obstructive pulmonary disease patients underwent CT with clinical protocol (regular dose [RD], volumetric CT dose index [CTDIvol] 3.04 mGy, 64-slice unit), and ultra-low dose (ULD) protocol (median CTDIvol 0.38 mGy, dual-source unit). Noise was measured in 27 1-cm

Indexed as

Tomography, X-Ray ComputedHumansRadiation DosageData accuracyNoisePulmonary disease (chronic obstructive)ThoraxTomography (x-ray computed)

Identifiers

PMID34505172
PMCPMC8429536

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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.