Evidence map›Paper›PMID 40232874›Full record

ArticleInvestigative radiology2025

Photon-Counting Computed Tomography-Based Hepatic iron Quantification Using a Tungsten-Based Contrast Agent.

Jonas Neumann, Johannes Haubold, Felix Jergas, Gregor Jost, Hubertus Pietsch, Bernhard Schmidt, Tristan Nowak, Joachim von Zanthier

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Article in Investigative radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jonas NeumannQuantum Optics & Quantum Information (QOQI) group, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany (J.N., J.v.Z.); Siemens Healthineers AG, Forchheim, Germany (J.N., B.S., T.N.); Department of Diagnostic and Interventional Radiology and Neuroradiology, Universitätsklinikum Essen, Essen, Germany (J.H., F.J.); Bayer AG, Berlin, Germany (G.J.); Bayer AG, Berlin, Germany (H.P.).ORCID 0009-0004-6280-0000
Johannes Haubold
Felix Jergas
Gregor Jost
Hubertus Pietsch
Bernhard Schmidt
Tristan Nowak
Joachim von Zanthier

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study explores the potential of quantifying hepatic iron in computed tomography (CT) scans in the presence of iodine (I)- or tungsten (W)-based contrast media (CM). MATERIALS AND

methodsExperimental work was performed on a commercial photon-counting CT system able to simultaneously acquire up to 4 spectral data sets in a single scan. We examined 2 anthropomorphic abdominal phantoms with material samples of liquid liver tissue surrogate, fat, iron, and I- or W-based CM to mimic different liver compositions in an enhanced CT scan. Iron was quantified by material decomposition of reconstructed spectral CT images.

resultsTwo-material decomposition based on 2 spectral data sets provided material images of iron and liver with an accuracy of 1.4 mg/mL in the iron image of CM-free samples. The presence of W affected the iron quantification: For 2 and 4 mgW/mL in the material samples, the iron concentration was overestimated ( P  < 0.05) with accuracies of 2.7 and 4.7 mg/mL, respectively. Three-material decomposition based on 4 spectral data sets provided material images of iron, liver, and W, with an accuracy of 1.4 mg/mL in the images without W and 1.5 (nonsignificant difference, P  > 0.07) and 1.6 mg/mL (overestimation, P  > 0.03) in the iron image at 2 and 4 mgW/mL, respectively. The presence of I affected the iron quantification more than W in both 2- and 3-material decomposition: For 2 and 4 mgI/mL in the material samples, the measured iron concentration was even higher ( P  < 0.05), with accuracies >18 and >37 mg/mL, respectively.

conclusionsThe accuracy of iron quantification from a 3-material decomposition suggested clinically feasible detection and quantification of critical hepatic iron levels in enhanced CT scans with suitable CM. In a 2-material decomposition, severe pathology is required to detect an iron liver. W-based CM was superior to I-based CM.

Indexed as

Contrast MediaIronLiverTomography, X-Ray ComputedTungstenHumansIodinePhantoms, ImagingPhotonsContrast MediaIodineIronTungstencomputed tomographycontrast mediairon quantificationlivermultimaterial decompositionphoton counting CTspectral CTtungsten

Identifiers

PMID40232874
PMCPMC12588641

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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.