Evidence map›Paper›PMID 41142701›Full record

ArticleEuropean journal of radiology open2025

Photon counting CT improves coronary stent imaging and fat attenuation index assessment across reconstruction modes.

Yujie Gao, Yaru Yang, Qiuju Hu, Yane Zhao, Yong Yuan, Jiliang Chen, Bangjun Guo, Dongsheng Jin, Song Luo, Guangming Lu

Abstract read
In one paragraph

Article in European journal of radiology open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Yujie GaoDepartment of Radiology, Geriatric Hospital of Nanjing Medical University, Nanjing, Jiangsu Province 210029, China.
Yaru YangDepartment of Radiology, Geriatric Hospital of Nanjing Medical University, Nanjing, Jiangsu Province 210029, China.
Qiuju HuDepartment of Radiology, Geriatric Hospital of Nanjing Medical University, Nanjing, Jiangsu Province 210029, China.
Yane ZhaoDepartment of Radiology, Geriatric Hospital of Nanjing Medical University, Nanjing, Jiangsu Province 210029, China.
Yong YuanDepartment of Radiology, Geriatric Hospital of Nanjing Medical University, Nanjing, Jiangsu Province 210029, China.
Jiliang ChenSiemens Healthineers CT Collaboration, Shanghai 200126, China.
Bangjun GuoDepartment of Radiology, The First Affiliated Hospital of Soochow University, 188#, Shizi Road, Suzhou, Jiangsu 215006, China.
Dongsheng JinDepartment of Radiology, Geriatric Hospital of Nanjing Medical University, Nanjing, Jiangsu Province 210029, China.
Song LuoDepartment of Radiology, Geriatric Hospital of Nanjing Medical University, Nanjing, Jiangsu Province 210029, China.
Guangming LuDepartment of Radiology, Geriatric Hospital of Nanjing Medical University, Nanjing, Jiangsu Province 210029, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To investigate the effect of photon counting CT (PCCT) ultra-high resolution (UHR) mode on coronary stent visualization and fat attenuation index (FAI) assessment in individuals with percutaneous coronary intervention (PCI). Methods: Patients who underwent PCI with stent placement and following coronary CT angiography (CCTA) by using a PCCT system were enrolled during January to August 2024. Simulated energy integrating detector CT (EID-CT) images (0.8 mm) were reconstructed with kernel Bv48, while UHR images (0.2 mm) were reconstructed using kernel Bv60 and Bv72. Objective and subjective image quality, stent-specific FAI and peri-stent FAI was evaluated. Results: A total of 41 patients with 51 isolated stents (69.76 ± 8.75 years; 34 men) were included. Compared to simulated EID-CT, 0.2 mm Bv72 images showed larger in-stent diameters and reduced blooming artifacts (all p < 0.001). Subjective image quality scores for 0.2 mm UHR images were superior to those for simulated EID-CT (all p < 0.01). The stent-specific FAI and peri-stent FAI of 51 isolated stents was lower in the 0.2 mm UHR images than in simulated EID-CT (all p < 0.05). The reconstruction mode of 0.2 mm Bv72 showed the ability of stent-specific FAI and peri-stent FAI to distinguish stents with in-stent restenosis (ISR) < 50 % in diameter from stents without ISR, with cut-off value of -98HU and -99.5HU, respectively. Conclusions: PCCT UHR mode improved the image quality of coronary stents, reduced the FAI values and provided cut-off values based on stent-specific FAI and peri-stent FAI.

Indexed as

Cardiovascular DiseasesCoronary RestenosisFat Attenuation IndexPhoton Counting Computed TomographyStents

Identifiers

PMID41142701
PMCPMC12549922

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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.