Evidence map›Paper›PMID 34327581›Full record

ArticleEuropean radiology2022

Assessment of task-based image quality for abdominal CT protocols linked with national diagnostic reference levels.

Anaïs Viry, Christoph Aberle, Thiago Lima, Reto Treier, Sebastian T Schindera, Francis R Verdun, Damien Racine

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In one paragraph

Article in European radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Anaïs Viry *Institute of Radiation Physics, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland. Anais.viry@chuv.ch.ORCID http://orcid.org/0000-0002-0039-4244
Christoph Aberle *Department of Radiology, University Hospital Basel, University of Basel, Basel, Switzerland.
Thiago LimaInstitute of Radiation Physics, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Reto TreierRadiological Protection Division, Federal Office of Public Health, Bern, Switzerland.
Sebastian T SchinderaDepartment of Radiology, Kantonsspital Aarau, Aarau, Switzerland.
Francis R VerdunInstitute of Radiation Physics, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Damien RacineInstitute of Radiation Physics, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.

Funding

Bundesamt für Gesundheit 17.017358.
6 · The paper itself

Abstract

objectivesTo assess task-based image quality for two abdominal protocols on various CT scanners. To establish a relationship between diagnostic reference levels (DRLs) and task-based image quality.

methodsA protocol for the detection of focal liver lesions was used to scan an anthropomorphic abdominal phantom containing 8- and 5-mm low-contrast (20 HU) spheres at five CTDI

resultsFor the detection of 8-mm spheres, the image quality reached a high level (mean AUC over all CTs higher than 0.95) at 11 mGy. For the detection of 5-mm spheres, the AUC never reached a high level of image quality. Variability between CTs was found, especially at low dose levels. For the search of renal stones, the AUC was nearly maximal even for the lowest dose level.

conclusionsComparable task-based image quality cannot be reached at the same dose level on all CT scanners. This variability implies the need for scanner-specific dose optimization. KEY POINTS: • There is an image quality variability for subtle low-contrast lesion detection in the clinically used dose range. • Diagnostic reference levels were linked with task-based image quality metrics. • There is a need for specific dose optimization for each CT scanner and clinical protocol.

Indexed as

Diagnostic Reference LevelsTomography, X-Ray ComputedAlgorithmsHumansPhantoms, ImagingRadiation DosageSignal-To-Noise RatioTomography Scanners, X-Ray ComputedDiagnostic reference levelsMultidetector computed tomographyRadiation protection

Identifiers

PMID34327581
PMCPMC8794993

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Registered trials

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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.