Evidence map›Paper›PMID 41329278›Full record

ArticleEuropean radiology experimental2025

Spectral ultrahigh-resolution photon-counting CT for coronary stent imaging: evaluation in a dynamic phantom.

Muhammad Taha Hagar, Tilman Emrich, Milán Vecsey-Nagy, Fabian Bamberg, Christopher L Schlett, G William Garrison, Ava Wenderoth, Alexander Isaak, Daniel Kuetting, Julian A Luetkens and 3 more

Abstract read
In one paragraph

Article in European radiology experimental, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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.

Muhammad Taha HagarDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Tilman EmrichDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Milán Vecsey-NagyDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Fabian BambergDepartment of Diagnostic and Interventional Radiology, Medical Centre, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Christopher L SchlettDepartment of Diagnostic and Interventional Radiology, Medical Centre, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
G William GarrisonDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Ava WenderothDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.
Alexander IsaakDepartment of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.
Daniel KuettingDepartment of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.
Julian A LuetkensDepartment of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.
Constantin von Zur MühlenDepartment of Cardiology, Medical Center University of Freiburg, and Faculty of Medicine, University of Freiburg, Freiburg, Germany.
Akos Varga-SzemesDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA. musccvi@musc.edu.ORCID http://orcid.org/0000-0002-2781-7462
Dmitrij KravchenkoDepartment of Radiology and Radiological Science, Medical University of South Carolina, Charleston, SC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe compared ultrahigh-resolution (UHR) photon-counting detector-computed tomography (PCD-CT) and spectral post-processed images for coronary stent visualization in a dynamic, anthropomorphic, and circulatory phantom. MATERIALS AND

methodsTen coronary stents were scanned at 60, 80, and 100 beats per min (bpm) using UHR-spectral PCD-CT (96 × 0.2 mm collimation). Reconstructions included UHR (0.2 mm), downsampled (0.6 mm), and spectral post-processed images (0.4 mm), including virtual monoenergetic images (VMI; 45-100 keV), lumen-preserving images, and iodine maps (IM). Objective quality was assessed by measurable stent lumen visibility and stent strut width overestimation factor, compared to nominal strut width. Subjective quality was rated using a 4-point Likert scale. Repeated-measures analysis of variance-ANOVA and Friedman test with post hoc corrections were applied.

resultsUHR images provided the highest lumen visibility (62.6 ± 7.6%) at 60 bpm, outperforming all reconstructions ranging 43.5-52.7% (p ≤ 0.001) except IM (59.6 ± 11.9%, pairwise p = 0.839). UHR showed the lowest strut overestimation factor (18.1 ± 3.4), better than all spectral images (20.2-26.2, p ≤ 0.003) and DS (32.1 ± 6.5, p < 0.001). Subjective quality was best for UHR at 60 bpm (4.0 [interquartile range, IQR 4.0-4.0]) but declined at 100 bpm (3.0 [IQR 2.0-3.0], p < 0.01). VMI at 55 keV and IM maintained stable quality across heart rates (p ≥ 0.09).

conclusionPCD-CT combining UHR and spectral imaging enhances stent assessment. UHR provides the best lumen visibility and strut accuracy but suffers from motion artifacts, whereas VMIs at 55 keV and IM remain stable across heart rates and potentially provide incremental value. RELEVANCE STATEMENT: Combining UHR and spectral PCD-CT enhances coronary stent visualization by balancing high spatial detail with artifact reduction, potentially improving diagnostic confidence and enabling more reliable non-invasive follow-up across a range of heart rates in clinical practice. KEY POINTS: The combined value of spectral UHR CT for stent imaging remains largely unexplored. UHR PCD-CT showed the highest lumen visibility and sharpest strut delineation, whilst being prone to motion artifacts. Spectral reconstructions complement UHR by reducing artifacts and stabilizing image quality, especially at higher heart rates.

Indexed as

Coronary VesselsPhantoms, ImagingStentsTomography, X-Ray ComputedHumansPhotonsArtifactsComputed tomography angiographyCoronary vesselsPhantoms (imaging)Stents

Identifiers

PMID41329278
PMCPMC12672982

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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.