Evidence map›Paper›PMID 29368163›Full record

ArticleEuropean radiology2018

Assessment of image quality in abdominal CT: potential dose reduction with model-based iterative reconstruction.

Bharti Kataria, Jonas Nilsson Althén, Örjan Smedby, Anders Persson, Hannibal Sökjer, Michael Sandborg

Abstract read
In one paragraph

Article in European radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Bharti KatariaDepartment of Radiology, Department of Medical and Health Sciences, Center for Medical Image Science and Visualization (CMIV), Linköping University, S-581 85, Linköping, Sweden. Bharti.Kataria@liu.se.ORCID http://orcid.org/0000-0002-4013-4615
Jonas Nilsson AlthénDepartment of Medical Physics, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Örjan SmedbySchool of Technology and Health (STH), KTH Royal Institute, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-7750-1917
Anders PerssonDepartment of Radiology, Department of Medical and Health Sciences, Center for Medical Image Science and Visualization (CMIV), Linköping University, S-581 85, Linköping, Sweden.ORCID http://orcid.org/0000-0002-9446-6981
Hannibal SökjerDepartment of Medical and Health Sciences, Linköping University, S-581 83, Linköping, Sweden.
Michael SandborgDepartment of Medical Physics, Department of Medical and Health Sciences, Linköping University, Linköping, Sweden.ORCID http://orcid.org/0000-0003-3352-8330

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo estimate potential dose reduction in abdominal CT by visually comparing images reconstructed with filtered back projection (FBP) and strengths of 3 and 5 of a specific MBIR. MATERIAL AND

methodsA dual-source scanner was used to obtain three data sets each for 50 recruited patients with 30, 70 and 100% tube loads (mean CTDI

resultsComparing 30 and 70% tube load, improved image quality was observed as a significant strong effect of log tube load and reconstruction method with potential dose reduction relative to FBP of 22-47% for MBIR strength 3 (p < 0.001). For MBIR strength 5 no dose reduction was possible for image criteria 1 (liver parenchyma), but dose reduction between 34 and 74% was achieved for other criteria. Interobserver reliability showed agreement of 71-76% (κ

conclusionMBIR showed improved image quality compared to FBP with positive correlation between MBIR strength and increasing potential dose reduction for all but one image criterion. KEY POINTS: • MBIR's main advantage is its de-noising properties, which facilitates dose reduction. • MBIR allows for potential dose reduction in relation to FBP. • Visual Grading Regression (VGR) produces direct numerical estimates of potential dose reduction. • MBIR strengths 3 and 5 dose reductions were 22-34 and 34-74%. • MBIR strength 5 demonstrates inferior performance for liver parenchyma.

Indexed as

AdultAgedAged, 80 and overAlgorithmsClinical ProtocolsFemaleHumansMaleMiddle AgedObserver VariationRadiation DosageRadiographic Image Interpretation, Computer-AssistedRadiography, AbdominalReproducibility of ResultsTomography, X-Ray ComputedYoung AdultAbdomenComputed tomographyDoseFBPIterative reconstruction

Identifiers

PMID29368163
PMCPMC5938296

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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.