Evidence map›Paper›PMID 38369635›Full record

ArticleRadiation protection dosimetry2024

Image quality in CT thorax: effect of altering reconstruction algorithm and tube load.

Bharti Kataria, Mischa Woisetschläger, Jonas Nilsson Althén, Michael Sandborg, Örjan Smedby

Open access · hybridAbstract read
In one paragraph

Article in Radiation protection dosimetry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

5 authors at 2 institutions in 1 country.

Bharti KatariaDepartment of Radiology, Linköping University, SE-581 85, Linköping, Sweden.ORCID 0000-0002-4013-4615
Mischa WoisetschlägerDepartment of Radiology, Linköping University, SE-581 85, Linköping, Sweden.
Jonas Nilsson AlthénDepartment of Health, Medicine & Caring Sciences, Linköping University, SE-581 83 Linköping, Sweden.
Michael SandborgDepartment of Health, Medicine & Caring Sciences, Linköping University, SE-581 83 Linköping, Sweden.ORCID 0000-0003-3352-8330
Örjan SmedbyDepartment of Biomedical Engineering and Health Systems (MTH), KTH Royal Institute of Technology, SE-141 57 Stockholm, Sweden.
Linköping University · SEKTH Royal Institute of Technology · SE

Funding

Avtal Läkarutbildning och Forskning RÖ-602731Forskning och Utveckling RÖ-724631Medical Faculty at Linköping UniversityRegion financiered Forskning och UtbildningSwedish Heart-Lung Foundation 2022-0490
6 · The paper itself

Abstract

Non-linear properties of iterative reconstruction (IR) algorithms can alter image texture. We evaluated the effect of a model-based IR algorithm (advanced modelled iterative reconstruction; ADMIRE) and dose on computed tomography thorax image quality. Dual-source scanner data were acquired at 20, 45 and 65 reference mAs in 20 patients. Images reconstructed with filtered back projection (FBP) and ADMIRE Strengths 3-5 were assessed independently by six radiologists and analysed using an ordinal logistic regression model. For all image criteria studied, the effects of tube load 20 mAs and all ADMIRE strengths were significant (p < 0.001) when compared to reference categories 65 mAs and FBP. Increase in tube load from 45 to 65 mAs showed image quality improvement in three of six criteria. Replacing FBP with ADMIRE significantly improves perceived image quality for all criteria studied, potentially permitting a dose reduction of almost 70% without loss in image quality.

Indexed as

Radiographic Image Interpretation, Computer-AssistedTomography, X-Ray ComputedAlgorithmsHumansRadiation DosageThorax

Identifiers

PMID38369635
PMCPMC10997858
OpenAlexW4391980091

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.