Evidence map›Paper›PMID 37488295›Full record

ArticleEuropean radiology2023

Impact of virtual monoenergetic levels on coronary plaque volume components using photon-counting computed tomography.

Borbála Vattay, Bálint Szilveszter, Melinda Boussoussou, Milán Vecsey-Nagy, Andrew Lin, Gábor Konkoly, Anikó Kubovje, Florian Schwarz, Béla Merkely, Pál Maurovich-Horvat and 3 more

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 38 citations in OpenAlex.

  1. Trial
  2. A scoping review of photon-counting detector computed tomography in cardiovascular imaging.Diagnostic and interventional radiology (Ankara, Turkey) · 2026
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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

13 authors at 5 institutions in 4 countries.

Borbála VattayMTA-SE "Lendület" Cardiovascular Imaging Research Group, Semmelweis University Heart and Vascular Center, Városmajor Street 68., 1122, Budapest, Hungary.
Bálint SzilveszterMTA-SE "Lendület" Cardiovascular Imaging Research Group, Semmelweis University Heart and Vascular Center, Városmajor Street 68., 1122, Budapest, Hungary. szilveszter.balint@med.semmelweis-univ.hu.
Melinda BoussoussouMTA-SE "Lendület" Cardiovascular Imaging Research Group, Semmelweis University Heart and Vascular Center, Városmajor Street 68., 1122, Budapest, Hungary.
Milán Vecsey-NagyMTA-SE "Lendület" Cardiovascular Imaging Research Group, Semmelweis University Heart and Vascular Center, Városmajor Street 68., 1122, Budapest, Hungary.
Andrew LinBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Blvd, Suite 400, CA, 90048, Los Angeles, USA.
Gábor KonkolyMTA-SE "Lendület" Cardiovascular Imaging Research Group, Semmelweis University Heart and Vascular Center, Városmajor Street 68., 1122, Budapest, Hungary.
Anikó KubovjeSemmelweis University Medical Imaging Center, Korányi Sándor Street 2., 1082, Budapest, Hungary.
Florian SchwarzClinic for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Augsburg, Stenglinstr. 2, 86156, Augsburg, Germany.
Béla MerkelyMTA-SE "Lendület" Cardiovascular Imaging Research Group, Semmelweis University Heart and Vascular Center, Városmajor Street 68., 1122, Budapest, Hungary.
Pál Maurovich-HorvatSemmelweis University Medical Imaging Center, Korányi Sándor Street 2., 1082, Budapest, Hungary.
Michelle C WilliamsUniversity of Edinburgh/British Heart Foundation Centre for Cardiovascular Science, 47 Little France Crescent, Edinburgh, EH16 4TJ, UK.
Damini DeyBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, 116 N Robertson Blvd, Suite 400, CA, 90048, Los Angeles, USA.
Márton KolossváryGottsegen National Cardiovascular Center, 29 Haller Utca, 1096, Budapest, Hungary. marton.kolossvary@gokvi.hu.ORCID http://orcid.org/0000-0002-5570-991X
Semmelweis University · HUCedars-Sinai Medical Center · USBritish Heart Foundation · GBObuda University · HUUniversity Hospital Augsburg · DE

Funding

British Heart Foundation FS/ICRF/20/26002
6 · The paper itself

Abstract

objectivesVirtual monoenergetic images (VMIs) from photon-counting CT (PCCT) may change quantitative coronary plaque volumes. We aimed to assess how plaque component volumes change with respect to VMIs.

methodsCoronary CT angiography (CTA) images were acquired using a dual-source PCCT and VMIs were reconstructed between 40 and 180 keV in 10-keV increments. Polychromatic images at 120 kVp (T3D) were used as reference. Quantitative plaque analysis was performed on T3D images and segmentation masks were copied to VMI reconstructions. Calcified plaque (CP; > 350 Hounsfield units, HU), non-calcified plaque (NCP; 30 to 350 HU), and low-attenuation NCP (LAP; - 100 to 30 HU) volumes were calculated using fixed thresholds.

resultsWe analyzed 51 plaques from 51 patients (67% male, mean age 65 ± 12 years). Average attenuation and contrast-to-noise ratio (CNR) decreased significantly with increasing keV levels, with similar values observed between T3D and 70 keV images (299 ± 209 vs. 303 ± 225 HU, p = 0.15 for mean HU; 15.5 ± 3.7 vs. 15.8 ± 3.5, p = 0.32 for CNR). Mean NCP volume was comparable between T3D and 100-180-keV reconstructions. There was a monotonic decrease in mean CP volume, with a significant difference between all VMIs and T3D (p < 0.05). LAP volume increased with increasing keV levels and all VMIs showed a significant difference compared to T3D, except for 50 keV (28.0 ± 30.8 mm

conclusionsEstimated coronary plaque volumes significantly differ between VMIs. Normalization protocols are needed to have comparable results between future studies, especially for LAP volume which is currently defined using a fixed HU threshold. CLINICAL RELEVANCE STATEMENT: Different virtual monoenergetic images from photon-counting CT alter attenuation values and therefore corresponding plaque component volumes. New clinical standards and protocols are required to determine the optimal thresholds to derive plaque volumes from photon-counting CT. KEY POINTS: • Utilizing different VMI energy levels from photon-counting CT for the analysis of coronary artery plaques leads to substantial changes in attenuation values and corresponding plaque component volumes. • Low-energy images (40-70 keV) improved contrast-to-noise ratio, however also increased image noise. • Normalization protocols are needed to have comparable results between future studies, especially for low-attenuation plaque volume which is currently defined using a fixed HU threshold.

Indexed as

Plaque, AtheroscleroticRadiography, Dual-Energy Scanned ProjectionAgedComputed Tomography AngiographyCoronary AngiographyFemaleHumansMaleMiddle AgedRetrospective StudiesSignal-To-Noise RatioTomography, X-Ray ComputedAtherosclerosisCoronary arteriosclerosisCT angiographyReproducibility of results

Identifiers

PMID37488295
PMCPMC10667372
OpenAlexW4385196913

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.