Evidence map›Paper›PMID 41559569›Full record

ArticleBMC medical imaging2026

Impact of slice thickness on CACS calculation with virtual non-contrast in photon-counting CT.

Qiuju Hu, Huixin Zhang, Bangjun Guo, Dongsheng Jin, Meirong Sun, Jiliang Chen, Song Luo, Yane Zhao, Guang-Ming Lu

Abstract read
In one paragraph

Article in BMC medical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Qiuju Hu *Department of Radiology, Geriatric Hospital of Nanjing Medical University, Jiang su Road 65, Nanjing, 210009, China.
Huixin Zhang *Department of Radiology, Geriatric Hospital of Nanjing Medical University, Jiang su Road 65, Nanjing, 210009, China.
Bangjun Guo *Department of Radiology, The First Affiliated Hospital of Soochow University, Soochow, China.
Dongsheng JinDepartment of Radiology, Geriatric Hospital of Nanjing Medical University, Jiang su Road 65, Nanjing, 210009, China.
Meirong SunDepartment of Radiology, Geriatric Hospital of Nanjing Medical University, Jiang su Road 65, Nanjing, 210009, China.
Jiliang ChenCT Collaboration, Siemens Healthineers, Shanghai, China.
Song LuoDepartment of Radiology, Geriatric Hospital of Nanjing Medical University, Jiang su Road 65, Nanjing, 210009, China. hnldls@163.com.
Yane ZhaoDepartment of Radiology, Geriatric Hospital of Nanjing Medical University, Jiang su Road 65, Nanjing, 210009, China. 15335137@qq.com.
Guang-Ming LuDepartment of Radiology, Jinling Hospital, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to investigate the feasibility of coronary artery calcium scoring (CACS) calculating from PureCalcium virtual non-iodine algorithm on photon-counting detector CT (PCD-CT) and the potential impact of different section thickness, level of virtual monoenergetic images (VMIs), and quantum iterative reconstruction (QIR) on the accuracy of CACS quantification. MATERIALS AND

methodsA total of 123 patients who underwent coronary CT angiography on PCD-CT with a separate true non-contrast CACS (CACS

resultsAt all investigated section thickness, VMI, and QIR levels, the CACS

conclusionCACS derived from the PureCalcium algorithm with optimized reconstruction parameters shows excellent correlation with true non-contrast scans derived values. Thus, it is may possible to use the PureCalcium virtual non-iodine algorithm to replace the true non-contrast scans for CACS quantification, without additional radiation dose exposure.

Indexed as

Computed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseVascular CalcificationAgedAlgorithmsFeasibility StudiesFemaleHumansMaleMiddle AgedPhotonsProspective StudiesRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsCoronary artery calcium scoringCoronary artery diseasePhoton counting CTSpectral imagingVirtual non-iodine algorithm

Identifiers

PMID41559569
PMCPMC12903409

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.