Evidence map›Paper›PMID 39287697›Full record

ArticleLa Radiologia medica2024

Carotid artery assessment in dual-source photon-counting CT: impact of low-energy virtual monoenergetic imaging on image quality, vascular contrast and diagnostic assessability.

Christian Booz, Giuseppe M Bucolo, Tommaso D'Angelo, Silvio Mazziotti, Ludovica R M Lanzafame, Ibrahim Yel, Leona S Alizadeh, Leon D Gruenewald, Vitali Koch, Simon S Martin and 6 more

Abstract read
In one paragraph

Article in La Radiologia medica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. 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

16 authors.

Christian Booz *Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Giuseppe M Bucolo *Division of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Tommaso D'AngeloDiagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital "Policlinico G. Martino", Via Consolare Valeria 1, 98100, Messina, Italy. tommasodang@gmail.com.ORCID http://orcid.org/0000-0003-0004-6378
Silvio MazziottiDiagnostic and Interventional Radiology Unit, BIOMORF Department, University Hospital "Policlinico G. Martino", Via Consolare Valeria 1, 98100, Messina, Italy.
Ludovica R M LanzafameDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Ibrahim YelDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Leona S AlizadehDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Leon D GruenewaldDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Vitali KochDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Simon S MartinDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Mirela DimitrovaDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Aynur GoekdumanDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Thomas J VoglDivision of Experimental Imaging, Department of Diagnostic and Interventional Radiology, University Hospital Frankfurt, Theodor-Stern-Kai 7, 60590, Frankfurt Am Main, Germany.
Hanns L KaatschDepartment of Radiology and Neuroradiology, Bundeswehr Central Hospital, Rübenacher Straße 170, 56072, Koblenz, Germany.
Daniel OverhoffDepartment of Radiology and Neuroradiology, Bundeswehr Central Hospital, Rübenacher Straße 170, 56072, Koblenz, Germany.
Stephan WaldeckDepartment of Radiology and Neuroradiology, Bundeswehr Central Hospital, Rübenacher Straße 170, 56072, Koblenz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePreliminary dual-energy CT studies have shown that low-energy virtual monoenergetic (VMI) + reconstructions can provide superior image quality compared to standard 120 kV CTA series. The purpose of this study is to evaluate the impact of low-energy VMI reconstructions on quantitative and qualitative image quality, vascular contrast, and diagnostic assessability of the carotid artery in patients undergoing photon-counting CTA examinations. MATERIALS AND

methodsA total of 122 patients (67 male) who had undergone dual-source photon-counting CTA scans of the carotid artery were retrospectively analyzed in this study. Standard 120 kV CT images and low-keV VMI series from 40 to 100 keV with an interval of 15 keV were reconstructed. Quantitative analyses included the evaluation of vascular CT numbers, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR). CT number measurements were performed in the common, external, and internal carotid arteries. Qualitative analyses were performed by three board-certified radiologists independently using five-point scales to evaluate image quality, vascular contrast, and diagnostic assessability of the carotid artery.

resultsMean attenuation, CNR and SNR values were highest in 40 keV VMI reconstructions (HU, 1362.32 ± 457.81; CNR, 33.19 ± 12.86; SNR, 34.37 ± 12.89) followed by 55-keV VMI reconstructions (HU, 736.94 ± 150.09; CNR, 24.49 ± 7.11; SNR, 26.25 ± 7.34); all three mean values at these keV levels were significantly higher compared with the remaining VMI series and standard 120 kV CT series (HU, 154.43 ± 23.69; CNR, 16.34 ± 5.47; SNR, 24.44 ± 7.14) (p < 0.0001). The qualitative analysis showed the highest rating scores for 55 keV VMI reconstructions followed by 40 keV and 70 keV VMI series with a significant difference compared to standard 120 kV CT images series regarding image quality, vascular contrast, and diagnostic assessability of the carotid artery (all comparisons, p < 0.01).

conclusionsLow-keV VMI reconstructions at a level of 40-55 keV significantly improve image quality, vascular contrast, and the diagnostic assessability of the carotid artery compared with standard CT series in photon-counting CTA.

Indexed as

Carotid ArteriesComputed Tomography AngiographyContrast MediaSignal-To-Noise RatioAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRadiographic Image Interpretation, Computer-AssistedRadiography, Dual-Energy Scanned ProjectionRetrospective StudiesTomography, X-Ray ComputedContrast MediaCarotid arteriesDual-energy CTPhoton-counting CTVirtual monoenergetic imaging

Identifiers

PMID39287697
PMCPMC11554704

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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.