Evidence map›Paper›PMID 41792572›Full record

ArticleEuropean radiology2026

Photon-counting detector CT with iodine quantification: improved distinction between bland and neoplastic portal vein thrombosis.

Lukas Müller, Tobias Jorg, Jan-Peter Grunz, Dirk Graafen, Aline Mähringer-Kunz, Maximilian Moos, Friedrich Foerster, Henner Huflage, Daniel Pinto Dos Santos, Matteo Ligorio and 4 more

Abstract read
In one paragraph

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

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Lukas MüllerDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Mainz, Germany. lukas.mueller@unimedizin-mainz.de.ORCID http://orcid.org/0000-0002-8626-4044
Tobias JorgDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Mainz, Germany.
Jan-Peter GrunzDepartment of Radiology, University of Wisconsin, Madison, WI, USA.
Dirk GraafenDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Mainz, Germany.
Aline Mähringer-KunzDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Mainz, Germany.
Maximilian MoosDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Mainz, Germany.
Friedrich FoersterDepartment of Internal Medicine I, University Medical Center Mainz, Mainz, Germany.
Henner HuflageDepartment of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany.
Daniel Pinto Dos SantosDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Mainz, Germany.
Matteo LigorioDepartment of Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Constantin ScholzDepartment of General, Visceral and Transplant Surgery, University Medical Center Mainz, Mainz, Germany.
Tobias BäuerleDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Mainz, Germany.
Tilman Emrich *Department of Diagnostic and Interventional Radiology, University Medical Center Mainz, Mainz, Germany.
Roman Kloeckner *Institute of Interventional Radiology, University Hospital of Schleswig-Holstein - Campus Lübeck, Lübeck, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNeoplastic portal vein thrombosis (PVT) is a critical prognostic factor in hepatocellular carcinoma (HCC); however, differentiation from bland PVT remains challenging using conventional imaging criteria. Photon-counting detector CT (PCD-CT) enables quantitative iodine density (ID) assessment in every contrast-enhanced acquisition. This study evaluated the diagnostic performance of ID for distinguishing bland from neoplastic PVT. MATERIALS AND

methodsIn this retrospective single-center study, 104 patients with suspected PVT who underwent PCD-CT between 09/2022 and 08/2024 were included. Based on imaging, follow-up data, and multidisciplinary consensus, patients were classified into four groups: HCC with neoplastic PVT (n = 18), HCC with bland PVT (n = 29), bland PVT without malignancy (n = 31), and neoplastic PVT in non-HCC malignancies (n = 26). ID was measured in the late arterial phase (LAP) and portal venous phase (PVP) by two independent radiologists and compared with a CT feature-based score including vessel infiltration, thrombus extension, and arterial hyperenhancement.

resultsID measurements demonstrated excellent inter- and intra-rater agreement (ICC ≥ 0.99). ID was significantly higher in neoplastic PVT in both phases. Diagnostic performance was high, with sensitivities and specificities of 100% and 95.9% in LAP and 93.1% and 100% in PVP (AUC 0.98 (95% CI: 0.95-1.00) and 0.97 (95% CI: 0.92-1.00)). The feature-based score showed lower accuracy. In non-HCC malignancies, ID achieved high diagnostic accuracy in PVP.

conclusionID derived from PCD-CT reliably differentiates neoplastic from bland PVT in HCC and outperforms conventional CT features. In non-HCC malignancies, ID is particularly accurate in the portal venous phase, supporting its broader clinical utility as an imaging biomarker in this contrast media phase. KEY POINTS: Question Can iodine density measured by photon-counting detector CT improve the differentiation between bland and neoplastic portal vein thrombosis? Findings Iodine density measurements obtained with photon-counting CT accurately differentiated neoplastic from bland portal vein thrombosis and outperformed established morphologic CT features. Clinical relevance Photon-counting CT-derived iodine density enables reliable, noninvasive identification of neoplastic portal vein thrombosis, thereby improving diagnostic confidence and treatment planning in patients with hepatocellular carcinoma and other malignancies.

Indexed as

Carcinoma, HepatocellularIodineLiver NeoplasmsPortal VeinTomography, X-Ray ComputedVenous ThrombosisAdultAgedContrast MediaDiagnosis, DifferentialFemaleHumansMaleMiddle AgedPhotonsRetrospective StudiesContrast MediaIodineCarcinoma (hepatocellular)Iodine/analysisPortal vein thrombosisSpectral imagingTomography (X-ray computed)

Identifiers

PMID41792572
PMCPMC13282226

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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.