Evidence map›Paper›PMID 37404795›Full record

ArticleRadiology. Cardiothoracic imaging2023

Cardiac Virtual Noncontrast Images for Calcium Quantification with Photon-counting Detector CT.

Victor Mergen, Sadaf Ghouse, Thomas Sartoretti, Robert Manka, André Euler, Albert M Kasel, Hatem Alkadhi, Matthias Eberhard

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology. Cardiothoracic imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

34 citing papers in PubMed, 44 citations in OpenAlex.

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  5. Advanced myocardial characterization and function with cardiac CT.The international journal of cardiovascular imaging · 2026
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  7. Cardiac imaging using photon counting CT - benefits, challenges and prospects.The international journal of cardiovascular imaging · 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

8 authors at 1 institution in 1 country.

Victor MergenFrom the Institute of Diagnostic and Interventional Radiology (V.M., S.G., T.S., R.M., A.E., H.A., M.E.) and Department of Cardiology, University Heart Center (R.M., A.M.K.), University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland; and Institute of Radiology, Spitäler fmi AG, Unterseen, Switzerland (M.E.).ORCID 0000-0003-4544-4804
Sadaf GhouseFrom the Institute of Diagnostic and Interventional Radiology (V.M., S.G., T.S., R.M., A.E., H.A., M.E.) and Department of Cardiology, University Heart Center (R.M., A.M.K.), University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland; and Institute of Radiology, Spitäler fmi AG, Unterseen, Switzerland (M.E.).ORCID 0000-0003-2771-4399
Thomas SartorettiFrom the Institute of Diagnostic and Interventional Radiology (V.M., S.G., T.S., R.M., A.E., H.A., M.E.) and Department of Cardiology, University Heart Center (R.M., A.M.K.), University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland; and Institute of Radiology, Spitäler fmi AG, Unterseen, Switzerland (M.E.).ORCID 0000-0002-4812-987X
Robert MankaFrom the Institute of Diagnostic and Interventional Radiology (V.M., S.G., T.S., R.M., A.E., H.A., M.E.) and Department of Cardiology, University Heart Center (R.M., A.M.K.), University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland; and Institute of Radiology, Spitäler fmi AG, Unterseen, Switzerland (M.E.).ORCID 0000-0002-3383-4998
André EulerFrom the Institute of Diagnostic and Interventional Radiology (V.M., S.G., T.S., R.M., A.E., H.A., M.E.) and Department of Cardiology, University Heart Center (R.M., A.M.K.), University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland; and Institute of Radiology, Spitäler fmi AG, Unterseen, Switzerland (M.E.).
Albert M KaselFrom the Institute of Diagnostic and Interventional Radiology (V.M., S.G., T.S., R.M., A.E., H.A., M.E.) and Department of Cardiology, University Heart Center (R.M., A.M.K.), University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland; and Institute of Radiology, Spitäler fmi AG, Unterseen, Switzerland (M.E.).ORCID 0000-0002-1090-9213
Hatem AlkadhiFrom the Institute of Diagnostic and Interventional Radiology (V.M., S.G., T.S., R.M., A.E., H.A., M.E.) and Department of Cardiology, University Heart Center (R.M., A.M.K.), University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland; and Institute of Radiology, Spitäler fmi AG, Unterseen, Switzerland (M.E.).ORCID 0000-0002-2581-2166
Matthias EberhardFrom the Institute of Diagnostic and Interventional Radiology (V.M., S.G., T.S., R.M., A.E., H.A., M.E.) and Department of Cardiology, University Heart Center (R.M., A.M.K.), University Hospital Zurich, University of Zurich, Raemistrasse 100, CH-8091, Zurich, Switzerland; and Institute of Radiology, Spitäler fmi AG, Unterseen, Switzerland (M.E.).ORCID 0000-0002-9476-3759
University of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To assess the accuracy of aortic valve calcium (AVC), mitral annular calcium (MAC), and coronary artery calcium (CAC) quantification and risk stratification using virtual noncontrast (VNC) images from late enhancement photon-counting detector CT as compared with true noncontrast images. Materials and Methods: This retrospective, institutional review board-approved study evaluated patients undergoing photon-counting detector CT between January and September 2022. VNC images were reconstructed from late enhancement cardiac scans at 60, 70, 80, and 90 keV using quantum iterative reconstruction (QIR) strengths of 2-4. AVC, MAC, and CAC were quantified on VNC images and compared with quantification of AVC, MAC, and CAC on true noncontrast images using Bland-Altman analyses, regression models, intraclass correlation coefficients (ICC), and Wilcoxon tests. Agreement between severe aortic stenosis likelihood categories and CAC risk categories determined from VNC and true noncontrast images was assessed by weighted κ analysis. Results: Ninety patients were included (mean age, 80 years ± 8 [SD]; 49 male patients). Scores were similar on true noncontrast images and VNC images at 80 keV for AVC and MAC, regardless of QIR strengths, and VNC images at 70 keV with QIR 4 for CAC (all Conclusion: VNC images from cardiac photon-counting detector CT enables patient risk stratification and accurate quantification of AVC, MAC, and CAC.

Indexed as

Aortic StenosisAortic ValveCalcificationsCoronary ArteriesMitral ValvePhoton-counting Detector CT

Identifiers

PMID37404795
PMCPMC10316300
OpenAlexW4381614540

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.