Cardiac Imaging and Diagnostics Open access Peer reviewed

Coronary artery calcium scoring using virtual vs. true non-contrast images from ultra-high-resolution and normal-resolution photon-counting coronary CT angiography

Sophia Engel, Iram Shahzadi, Nina Pauline Haag, Roman Johannes Gertz and 4 more

European Journal of Radiology Open | Jul 4, 2026

Abstract

Abstract

Objective To validate the reliability of Coronary Artery Calcium Scoring (CACS) by using virtual non-contrast (VNC) images reconstructed from contrast-enhanced photon-counting coronary CT angiography (CCTA) versus true non-contrast (TNC) images, and to assess the impact on plaque burden classification. Materials and methods 239 patients who underwent contrast-enhanced photon-counting CCTA with TNC imaging were included. Agatston score was calculated on both (VNC and TNC) datasets. Scores ≤ 0.9 were rounded to 0. Patients were divided into plaque groups according to the CAD-RADS 2.0 classification system. Borderline cases (P0 vs. P1) were reassessed by two radiologists with blinded adjudication. Results Median Agatston scores showed no significant difference (TNC: 14.2 [range: 0.0–2951.2] vs. VNC: 8.0 [range: 0.0–3069.3]; p = 0.54). Correlation was excellent (intraclass correlation coefficient, 0.97 [95% CI: 0.97, 0.98]. Robust linear regression revealed a significant relationship (intercept = 3.27 [95% CI: 1.28, 5.87]; slope=0.97 [95% CI: 0.97, 0.98]; p < 0.001). Despite the excellent correlation, a significant difference in plaque classification was observed ( p = 0.005). Classification was consistent in 160/239 (67%; κ = 0.88) patients. After a consensus reading, the agreement improved to 205/239 patients (86%; κ = 0.95). Conclusion Agatston scores derived from TNC and VNC images show no significant differences and excellent consistency. However, the agreement for plaque classification is limited, preventing VNC images from directly substituting for TNC images for this purpose. While a subjective reading significantly improved agreement, further research is required before clinical implementation.

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Sophia Engel

first | University Hospitals of the Ruhr-University of Bochum | ORCID 0009-0001-5840-7474

Iram Shahzadi

middle | University Hospitals of the Ruhr-University of Bochum | ORCID 0000-0003-4026-6586

Nina Pauline Haag

middle | University Hospitals of the Ruhr-University of Bochum | ORCID 0000-0002-8598-1295

Roman Johannes Gertz

middle | University of Cologne | ORCID 0000-0002-6414-4105

Julius Henning Niehoff

middle | University Hospitals of the Ruhr-University of Bochum | ORCID 0000-0003-0103-3819

Alexey Surov

middle | University Hospitals of the Ruhr-University of Bochum

Jan Borggrefe

middle | University Hospitals of the Ruhr-University of Bochum

Jan Robert Kroeger

last | University Hospitals of the Ruhr-University of Bochum

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Citation

BibTeX

@article{Engel2026Coronary,
  title = {Coronary artery calcium scoring using virtual vs. true non-contrast images from ultra-high-resolution and normal-resolution photon-counting coronary CT angiography},
  author = {Sophia Engel and Iram Shahzadi and Nina Pauline Haag and Roman Johannes Gertz and Julius Henning Niehoff and Alexey Surov and Jan Borggrefe and Jan Robert Kroeger},
  journal = {European Journal of Radiology Open},
  year = {2026},
  doi = {10.1016/j.ejro.2026.100795},
  url = {https://doi.org/10.1016/j.ejro.2026.100795}
}

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