Evidence map›Paper›PMID 38587689›Full record

ArticleThe international journal of cardiovascular imaging2024

CT radiomic features reproducibility of virtual non-contrast series derived from photon-counting CCTA datasets using a novel calcium-preserving reconstruction algorithm compared with standard non-contrast series: focusing on epicardial adipose tissue.

MengXu Cui, ShouYu Bao, JiQiang Li, HaiPeng Dong, ZhiHan Xu, Fuhua Yan, Wenjie Yang

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in The international journal of cardiovascular imaging, 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
–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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Cardiac imaging using photon counting CT - benefits, challenges and prospects.The international journal of cardiovascular imaging · 2026
    Review
  4. Review
  5. Review
  6. Article
  7. Review
  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

7 authors.

MengXu CuiDepartment of Radiology, Ruijin Hospital affiliated to School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
ShouYu BaoDepartment of Radiology, Ruijin Hospital affiliated to School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
JiQiang LiDepartment of Radiology, Ruijin Hospital affiliated to School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
HaiPeng DongDepartment of Radiology, Ruijin Hospital affiliated to School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
ZhiHan XuSiemens Healthineers CT Collaboration, Erlangen, Germany.
Fuhua YanDepartment of Radiology, Ruijin Hospital affiliated to School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Wenjie YangDepartment of Radiology, Ruijin Hospital affiliated to School of Medicine, Shanghai Jiao Tong University, Shanghai, China. lisa_ywj@163.com.

Funding

National Key Research and Development Program of China 2022YFC2401604
6 · The paper itself

Abstract

purposeWe aimed to evaluate the reproducibility of computed tomography (CT) radiomic features (RFs) about Epicardial Adipose Tissue (EAT). The features derived from coronary photon-counting computed tomography (PCCT) angiography datasets using the PureCalcium (VNC

methodsRFs of EAT from 52 patients who underwent PCCT were quantified using VNC

resultsthe VNC

conclusionThe accuracy evaluation of EATV and EATD and the reproducibility of RFs from VNC

Indexed as

Adipose TissueAlgorithmsComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseasePericardiumPredictive Value of TestsRadiographic Image Interpretation, Computer-AssistedAdiposityAgedCoronary VesselsEpicardial Adipose TissueFemaleHumansMaleMiddle AgedEpicardial adipose tissueIntraclass correlation coefficientPhoton counting computed tomographyRadiomic featuresVirtual non-contrast

Identifiers

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.