Evidence map›Paper›PMID 41432759›Full record

ArticleEuropean radiology2026

Photon-counting CT-derived hepatic extracellular volume quantification for noninvasive risk stratification of clinically significant portal hypertension (CSPH): a prospective cohort study.

Tatjana Dell, Verena Tischler, Dario Zocholl, Narine Mesropyan, Alice Margarida Jacob, Johannes Chang, Bernhard Schmidt, Claus Christian Pieper, Alexander Isaak, Patrick Kupczyk and 5 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.

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

15 authors.

Tatjana DellDepartment of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany. tatjana.dell@ukbonn.de.ORCID http://orcid.org/0000-0002-2835-8560
Verena TischlerInstitute of Pathology, University Hospital Bonn, Bonn, Germany.
Dario ZochollInstitute of Medical Biometry, Informatics and Epidemiology, Medical Faculty, University of Bonn, Bonn, Germany.
Narine MesropyanDepartment of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany.
Alice Margarida JacobDepartment of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany.
Johannes ChangDepartment of Internal Medicine I, Center for Cirrhosis and Portal Hypertension Bonn (CCB), University Hospital Bonn, Bonn, Germany.
Bernhard SchmidtComputed Tomography, Siemens Healthcare GmbH, Forchheim, Germany.
Claus Christian PieperDepartment of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany.
Alexander IsaakDepartment of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany.
Patrick KupczykDepartment of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany.
Carsten MeyerDepartment of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany.
Julian LuetkensDepartment of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany.
Christian StrassburgDepartment of Internal Medicine I, Center for Cirrhosis and Portal Hypertension Bonn (CCB), University Hospital Bonn, Bonn, Germany.
Christian JansenDepartment of Internal Medicine I, Center for Cirrhosis and Portal Hypertension Bonn (CCB), University Hospital Bonn, Bonn, Germany.
Daniel KuettingDepartment of Diagnostic and Interventional Radiology and Quantitative Imaging Lab Bonn (QILaB), University Hospital Bonn, Bonn, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate whether photon-counting CT (PCCT)-derived hepatic extracellular volume (ECV) can serve as a noninvasive imaging biomarker to detect or exclude clinically significant portal hypertension (CSPH) in patients with compensated advanced chronic liver disease (cACLD). MATERIALS AND

methodsThis prospective single-center study included 113 participants with chronic liver disease who underwent contrast-enhanced liver PCCT between February 2022 and January 2025. Hepatic ECV was calculated from the delayed phase (5 min post-contrast). Liver stiffness measurements (LSM) by transient elastography (n = 79) and histological fibrosis grading (n = 34) served as reference standards. Correlations were evaluated using Spearman's ρ, and multivariable linear regression was applied to identify independent associations with LSM. Diagnostic performance for CSPH was assessed with ROC analysis using guideline-endorsed LSM thresholds (≤ 15 kPa to rule out; ≥ 25 kPa to rule in).

resultsHepatic PCCT-ECV showed strong correlations with fibrosis grade (ρ = 0.79, p < 0.001) and LSM (ρ = 0.83, p < 0.001). An ECV threshold of 27.7% identified CSPH (LSM ≥ 25 kPa) with 95% sensitivity and 93% specificity. To rule out CSPH (LSM ≤ 15 kPa), a threshold of 23.9% achieved 88% sensitivity and 97% specificity. In multivariable analysis including MELD score and platelet count, ECV remained independently associated with LSM. Inter-observer reproducibility was good (two-way random-effects, absolute agreement ICC = 0.83).

conclusionPCCT-derived ECV provides a promising noninvasive biomarker for identifying or excluding CSPH in patients with chronic liver disease. Given its reproducibility and integration into routine HCC surveillance imaging, ECV may support early risk stratification. Validation in multicenter settings is warranted. KEY POINTS: Question Can a quantitative biomarker from routine CT scans reliably stratify risk for clinically significant portal hypertension, overcoming limitations of current noninvasive methods? Findings Photon-counting CT-derived ECV accurately stratifies portal hypertension risk, offering high sensitivity (95%) for rule-in and high specificity (97%) for rule-out. Clinical relevance Integrating PCCT-ECV into routine surveillance CT provides an opportunistic, noninvasive tool for CSPH risk stratification, guiding timely patient management without requiring a separate examination.

Indexed as

Hypertension, PortalTomography, X-Ray ComputedAdultAgedElasticity Imaging TechniquesFemaleHumansLiverLiver CirrhosisMaleMiddle AgedPhotonsProspective StudiesRisk AssessmentSensitivity and SpecificityClinically significant portal hypertension (CSPH)Liver stiffness measurement (LSM)Photon-counting CT (PCCT)Transient elastography (TE), Hepatic extracellular volume (ECV)

Identifiers

PMID41432759
PMCPMC13086718

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.