Evidence map›Paper›PMID 38175219›Full record

ArticleEuropean radiology2024

The influence of motion-compensated reconstruction on coronary artery analysis for a dual-layer detector CT system: a dynamic phantom study.

Magdalena M Dobrolinska, Philip M Tetteroo, Marcel J W Greuter, Robbert W van Hamersvelt, Niek H J Prakken, Riemer H J A Slart, Mani Vembar, Michael Grass, Tim Leiner, Birgitta K Velthuis and 2 more

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Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

12 authors.

Magdalena M Dobrolinska *Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Philip M Tetteroo *Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, The Netherlands. p.m.tetteroo-2@umcutrecht.nl.ORCID http://orcid.org/0000-0001-5314-3855
Marcel J W GreuterDepartment of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Robbert W van HamersveltDepartment of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
Niek H J PrakkenDepartment of Radiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Riemer H J A SlartMedical Imaging Center, Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Mani VembarCT Clinical Science, Philips Healthcare, Cleveland, OH, USA.
Michael GrassPhilips Research Laboratories, Hamburg, Germany.
Tim LeinerDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Birgitta K VelthuisDepartment of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
Dominika SucháDepartment of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.
Niels R van der WerfPhilips Healthcare, Best, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCardiac motion artifacts hinder the assessment of coronary arteries in coronary computed tomography angiography (CCTA). We investigated the impact of motion compensation reconstruction (MCR) on motion artifacts in CCTA at various heart rates (HR) using a dynamic phantom. MATERIALS AND

methodsAn artificial hollow coronary artery (5-mm diameter lumen) filled with iodinated contrast agent (400 HU at 120 kVp), positioned centrally in an anthropomorphic chest phantom, was scanned using a dual-layer spectral detector CT. The artery was translated at constant horizontal velocities (0-80 mm/s, increment of 10 mm/s). For each velocity, five CCTA scans were repeated using a clinical protocol. Motion artifacts were quantified using the in-plane motion area. Regression analysis was performed to calculate the reduction in motion artifacts provided by MCR, by division of the slopes of non-MCR and MCR fitted lines.

resultsReference mean (95% confidence interval) motion artifact area was 24.9 mm

conclusionMCR may improve CCTA assessment in patients by reducing coronary artery motion artifacts, especially in those with elevated HR who cannot receive beta blockers or do not attain the targeted HR. CLINICAL RELEVANCE STATEMENT: This vendor-specific motion compensation reconstruction may improve coronary computed tomography angiography assessment in patients by reduction of coronary artery motion artifacts, especially in those with elevated various heart rates (HR) who cannot receive beta blockers or do not attain the targeted HR. KEY POINTS: • Motion artifacts are known to hinder the assessment of coronary arteries on coronary CT angiography (CCTA), leading to more non-diagnostic scans. • This dynamic phantom study shows that motion compensation reconstruction (MCR) reduces motion artifacts at various velocities, which may help to decrease the number of non-diagnostic scans. • MCR in this study showed to reduce motion artifacts 11-fold.

Indexed as

ArtifactsComputed Tomography AngiographyCoronary AngiographyCoronary VesselsPhantoms, ImagingHeart RateHumansImage Processing, Computer-AssistedMotionArtifactsCoronary computed tomography angiographyCoronary vesselsImaging phantomsMotion

Identifiers

PMID38175219

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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.