Evidence map›Paper›PMID 38789792›Full record

ArticleEuropean radiology2024

Feasibility of virtual non-iodine coronary calcium scoring on dual source photon-counting coronary CT angiography: a dynamic phantom study.

Magdalena M Dobrolinska, Lennart R Koetzier, Marcel J W Greuter, Rozemarijn Vliegenthart, Judith van der Bie, Niek H J Prakken, Riemer H J A Slart, Tim Leiner, Ricardo P J Budde, Domenico Mastrodicasa and 5 more

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In one paragraph

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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. 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

15 authors.

Magdalena M DobrolinskaDepartment of Radiology and Nuclear Medicine Rotterdam, Erasmus MC University Medical Center, Rotterdam, The Netherlands. magdalena.dobrolinska@gmail.com.ORCID http://orcid.org/0000-0002-7997-5884
Lennart R KoetzierDepartment of Radiology and Nuclear Medicine Rotterdam, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Marcel J W GreuterDepartment of Radiology, University of Groningen, University Medical Center Groningen, Medical Imaging Center, Groningen, The Netherlands.
Rozemarijn VliegenthartDepartment of Radiology, University of Groningen, University Medical Center Groningen, Medical Imaging Center, Groningen, The Netherlands.
Judith van der BieDepartment of Radiology and Nuclear Medicine Rotterdam, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Niek H J PrakkenDepartment of Radiology, University of Groningen, University Medical Center Groningen, Medical Imaging Center, Groningen, The Netherlands.
Riemer H J A SlartDepartment of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Medical Imaging Center, Groningen, The Netherlands.
Tim LeinerDepartment of Radiology Rochester, Mayo Clinic, Rochester, MN, USA.
Ricardo P J BuddeDepartment of Radiology and Nuclear Medicine Rotterdam, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Domenico MastrodicasaDepartment of Radiology Stanford, Stanford University School of Medicine, Stanford, CA, USA.
Ronald BooijDepartment of Radiology and Nuclear Medicine Rotterdam, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Dominik FleischmannDepartment of Radiology Stanford, Stanford University School of Medicine, Stanford, CA, USA.
Martin J WilleminkDepartment of Radiology Stanford, Stanford University School of Medicine, Stanford, CA, USA.
Marcel van StratenDepartment of Radiology and Nuclear Medicine Rotterdam, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Niels R van der WerfDepartment of Radiology and Nuclear Medicine Rotterdam, Erasmus MC University Medical Center, Rotterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of our current systematic dynamic phantom study was first, to optimize reconstruction parameters of coronary CTA (CCTA) acquired on photon counting CT (PCCT) for coronary artery calcium (CAC) scoring, and second, to assess the feasibility of calculating CAC scores from CCTA, in comparison to reference calcium scoring CT (CSCT) scans.

methodsIn this phantom study, an artificial coronary artery was translated at velocities corresponding to 0, < 60, and 60-75 beats per minute (bpm) within an anthropomorphic phantom. The density of calcifications was 100 (very low), 200 (low), 400 (medium), and 800 (high) mgHA/cm

resultsFor CCTA reconstructed with 0.4 mm slice thickness, calcium detectability was perfect (100%). At < 60 bpm, CAC

conclusionIn this dynamic phantom study, the detection of calcifications with different densities was excellent with CCTA on PCCT using thin-slice VNI reconstruction. Agatston scores were underestimated compared to CSCT but agreement in risk classification was substantial. CLINICAL RELEVANCE STATEMENT: Photon counting CT may enable the implementation of coronary artery calcium scoring from coronary CTA in daily clinical practice. KEY POINTS: Photon-counting CTA allows for excellent detectability of low-density calcifications at all heart rates. Coronary artery calcium scoring from coronary CTA acquired on photon counting CT is feasible, although improvement is needed. Adoption of the standard acquisition and reconstruction protocol for calcium scoring is needed for improved quantification of coronary artery calcium to fully employ the potential of photon counting CT.

Indexed as

Computed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseFeasibility StudiesPhantoms, ImagingCalcinosisCoronary VesselsHumansPhotonsRadiographic Image Interpretation, Computer-AssistedVascular CalcificationCalciumCoronary vesselsImaging phantomsX-ray computed tomography

Identifiers

PMID38789792
PMCPMC11519197

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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.