Assessing anemia in stroke patients through virtual non-contrast imaging with photon-counting detector CT: validation on supra-aortic vessel CT-Angiography

Guilherme A Quint; Josua A Decker; Abraham Cortes; Ansgar Berlis; Christoph J Maurer

doi:10.1007/s00234-025-03620-2

Assessing anemia in stroke patients through virtual non-contrast imaging with photon-counting detector CT: validation on supra-aortic vessel CT-Angiography

Neuroradiology. 2025 Apr 24. doi: 10.1007/s00234-025-03620-2. Online ahead of print.

Authors

Guilherme A Quint¹, Josua A Decker², Abraham Cortes¹, Ansgar Berlis¹, Christoph J Maurer³

Affiliations

¹ Department of Diagnostic and Interventional Neuroradiology, University Hospital Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany.
² Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany.
³ Department of Diagnostic and Interventional Neuroradiology, University Hospital Augsburg, Stenglinstraße 2, 86156, Augsburg, Germany. Christoph.Maurer@uk-augsburg.de.

PMID: 40272466
DOI: 10.1007/s00234-025-03620-2

Abstract

Background and purpose: Anemia is a common comorbidity in stroke patients, traditionally detected via blood tests. This study evaluates the feasibility of using virtual non-contrast (VNC) imaging from photon counting detector-CT (PCD-CT) angiography to detect anemia and identifies the optimal anatomical site for assessment.

Materials and methods: In this retrospective study of 80 patients undergoing PCD-CT angiography of supra-aortic vessels, VNC series were analyzed at various anatomical sites, including the jugular veins, aorta, and cerebral sinuses. Correlations between serum hemoglobin (Hb) levels and VNC Hounsfield Unit (HU) values were assessed using Pearson's coefficients. Linear regression and ROC analysis evaluated diagnostic performance.ResultsThe jugular veins showed the strongest correlation between VNC HU values and Hb levels (R² = 0.49, p < 0.001), with weaker correlations in arterial vessels like the aorta (R² = 0.11, p < 0.001). ROC analysis of jugular vein VNC values yielded an AUC of 0.79 for anemia detection. Correlation strength declined with longer intervals between imaging and blood tests, suggesting temporal Hb variability.

Conclusions: VNC imaging in CT angiography is a feasible method for detecting anemia, with the jugular veins providing the most reliable site for assessment. VNC imaging could be a valuable alternative when blood tests are delayed or unavailable.

Keywords: Anemia detection; Photon-counting detector CT; Stroke; Supra-aortic vessels; Virtual-non-contrast-imaging.