Evidence map›Paper›PMID 36434331›Full record

ArticleThe international journal of cardiovascular imaging2022

Coronary plaque characterization assessed by delayed enhancement dual-layer spectral CT angiography and optical coherence tomography.

Jonathan Nadjiri, Tobias Koppara, Andre Kafka, Florian Weis, Michael Rasper, Felix G Gassert, Claudio E von Schacky, Daniela Pfeiffer, Karl-Ludwig Laugwitz, Marcus R Makowski and 1 more

Abstract read
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In one paragraph

Article in The international journal of cardiovascular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 65% 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

3 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Review
  3. Computed Tomography and Coronary Plaque Analysis.Tomography (Ann Arbor, Mich.) · 2025
    Review
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

11 authors at 2 institutions in 2 countries.

Jonathan Nadjiri *Interventional Radiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Straße 22, 81675, Munich, Germany. j.nadjiri@gmx.net.ORCID http://orcid.org/0000-0003-0698-965X
Tobias Koppara *Department of Internal Medicine I, Cardiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
Andre KafkaDepartment of Internal Medicine I, Cardiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
Florian WeisDepartment of Internal Medicine I, Cardiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
Michael RasperDepartment of Radiology, Kantonsspital Muensterlingen, Muensterlingen, Switzerland.
Felix G GassertDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
Claudio E von SchackyDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
Daniela PfeifferDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
Karl-Ludwig LaugwitzDepartment of Internal Medicine I, Cardiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
Marcus R MakowskiDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
Tareq IbrahimDepartment of Internal Medicine I, Cardiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
TUM Klinikum · DEKantonsspital Münsterlingen · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to prospectively evaluate delayed enhancement imaging by spectral computed tomography using soluble iodine containing contrast media to improve the in vivo characterization of coronary plaque types based on the quantification of delayed iodine enhancement. Patients with known or suspected coronary artery disease (CAD) underwent spectral coronary CT-angiography (SCCTA). Absolute delayed iodine enhancement in all visible coronary plaques was assessed. Patients with significant CAD (> 50% stenosis) further underwent invasive coronary angiography (ICA) including optical coherence tomography (OCT). We identified 50 non-calcified coronary plaques in 72 patients undergoing SCCTA. 17 patients with significant CAD underwent further ICA including OCT imaging. In those, we were able to match 35 plaques by both SCCTA and OCT. Based on OCT imaging, 22/35 matched plaques (63%) were characterized as high-risk coronary plaques (thin-cap fibroatheroma n = 2, fibroatheroma n = 20), whereas 13/35 (37%) were characterized as low-risk plaques (fibrocalcific lesion n = 3, fibrous plaques n = 9, and early-onset fibroatheroma n = 1). All plaques showed similar HU's and could not be classified into high-risk or low-risk plaques by conventional CT measures. Minimal delayed iodine enhancement within plaques as quantified by SCCTA demonstrated significantly lower values in high-risk as compared to low-risk coronary plaques (1.0 ± 1.5 mg/ml vs. 2.2 ± 1.1 mg/ml, p = 0.021) which allowed estimation of high-risk plaques with high sensitivity and moderate specificity (77% and 56%). Measurement of delayed enhancement iodine uptake within stable coronary artery plaques using dual-layer SCCTA might contribute to a more precise estimation of plaque vulnerability surpassing conventional CT techniques.

Indexed as

Coronary Artery DiseaseIodinePlaque, AtheroscleroticComputed Tomography AngiographyHumansPredictive Value of TestsTomography, Optical CoherenceIodineComputed tomographyDual energyOptical coherence tomographyPlaque characterizationSpectral plaque analysis

Identifiers

PMID36434331
OpenAlexW4283065592

What OpenQuestion holds

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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.