Evidence map›Paper›PMID 38248031›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Comparison of Two Contemporary Quantitative Atherosclerotic Plaque Assessment Tools for Coronary Computed Tomography Angiography: Single-Center Analysis and Multi-Center Patient Cohort Validation.

Loris Weichsel, Alexander Giesen, Florian André, Matthias Renker, Stefan Baumann, Philipp Breitbart, Meinrad Beer, Pal Maurovitch-Horvat, Bálint Szilveszter, Borbála Vattay and 6 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Sex-specific influence of Lipoprotein(a) levels on coronary plaque characteristics: - The COPRODUCTION Registry.Clinical research in cardiology : official journal of the German Cardiac Society · 2025
    Article
  8. 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

16 authors at 9 institutions in 3 countries.

Loris WeichselGRN Hospital Weinheim, Cardiology, Vascular Medicine & Pneumology, 69469 Weinheim, Germany.ORCID 0009-0009-8353-2769
Alexander GiesenGRN Hospital Weinheim, Cardiology, Vascular Medicine & Pneumology, 69469 Weinheim, Germany.
Florian AndréDepartment of Cardiology, Angiology and Pneumology, University of Heidelberg, 69120 Heidelberg, Germany.ORCID 0000-0003-1428-2611
Matthias RenkerDepartment of Cardiology, Campus Kerckhoff, Justus Liebig University Giessen, 61231 Bad Nauheim, Germany.ORCID 0000-0002-4756-5397
Stefan BaumannDepartment of Cardiology, District Hospital Bergstraße, 64646 Heppenheim, Germany.
Philipp BreitbartDepartment of Cardiology and Angiology, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, 79189 Bad Krozingen, Germany.
Meinrad BeerDepartment for Diagnostic and Interventional Radiology, University Hospital Ulm, 89081 Ulm, Germany.ORCID 0000-0001-7523-1979
Pal Maurovitch-HorvatHeart and Vascular Center, Semmelweis University, 1122 Budapest, Hungary.
Bálint SzilveszterHeart and Vascular Center, Semmelweis University, 1122 Budapest, Hungary.
Borbála VattayHeart and Vascular Center, Semmelweis University, 1122 Budapest, Hungary.
Sebastian J BussMVZ-DRZ Heidelberg, 69126 Heidelberg, Germany.
Mohamed MarwanDepartment of Cardiology, University of Erlangen, 91054 Erlangen, Germany.
Andreas A GiannopoulosDepartment of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, 8091 Zurich, Switzerland.
Sebastian KelleDeutsches Herzzentrum der Charité, Department of Cardiology, Angiology and Intensive Care Medicine, Charité-University Medicine Berlin, 10117 Berlin, Germany.ORCID 0000-0001-8105-6599
Norbert FreyDepartment of Cardiology, Angiology and Pneumology, University of Heidelberg, 69120 Heidelberg, Germany.
Grigorios KorosoglouGRN Hospital Weinheim, Cardiology, Vascular Medicine & Pneumology, 69469 Weinheim, Germany.ORCID 0000-0002-6038-2253
Heidelberg University · DEH.W. & J. Hector Stiftung · DESemmelweis University · HUDeutsches Herzzentrum der Charité · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DEJustus-Liebig-Universität Gießen · DEUniversity Hospital of Zurich · CHUniversity Hospital Ulm · DEUniversity of Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronary computed tomography angiography (CCTA) provides non-invasive quantitative assessments of plaque burden and composition. The quantitative assessment of plaque components requires the use of analysis software that provides reproducible semi-automated plaque detection and analysis. However, commercially available plaque analysis software can vary widely in the degree of automation, resulting in differences in terms of reproducibility and time spent.

aimTo compare the reproducibility and time spent of two CCTA analysis software tools using different algorithms for the quantitative assessment of coronary plaque volumes and composition in two independent patient cohorts.

methodsThe study population included 100 patients from two different cohorts: 50 patients from a single-center (Siemens Healthineers, SOMATOM Force (DSCT)) and another 50 patients from a multi-center study (5 different > 64 slice CT scanner types). Quantitative measurements of total calcified and non-calcified plaque volume of the right coronary artery (RCA), left anterior descending (LAD), and left circumflex coronary artery (LCX) were performed on a total of 300 coronaries by two independent readers, using two different CCTA analysis software tools (Tool #1: Siemens Healthineers, syngo.via Frontier CT Coronary Plaque Analysis and Tool #2: Siemens Healthineers, successor CT Coronary Plaque Analysis prototype). In addition, the total time spent for the analysis was recorded with both programs.

resultsThe patients in cohorts 1 and 2 were 62.8 ± 10.2 and 70.9 ± 11.7 years old, respectively, 10 (20.0%) and 35 (70.0%) were female and 34 (68.0%) and 20 (40.0%), respectively, had hyperlipidemia. In Cohort #1, the inter- and intra-observer variabilities for the assessment of plaque volumes per patient for Tool #1 versus Tool #2 were 22.8%, 22.0%, and 26.0% versus 2.3%, 3.9%, and 2.5% and 19.7%, 21.4%, and 22.1% versus 0.2%, 0.1%, and 0.3%, respectively, for total, noncalcified, and calcified lesions (

conclusionThe plaque analysis Tool #2 (CT-guided PCI) encompassing a higher degree of automated support required less manual editing, was more time-efficient, and showed a higher intra- and inter-observer reproducibility for the quantitative assessment of plaque volumes both in a representative single-center and in a multi-center validation cohort.

Indexed as

calcifiedcompositioninter- and intra-observer variabilitiesnon-calcifiedplaque quantificationplaque volumeserial studies

Identifiers

PMID38248031
PMCPMC10814854
OpenAlexW4390775581

What OpenQuestion holds

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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.