Evidence map›Paper›PMID 40804429›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2025

LI-RADS: concordance between energy-integrating computed tomography, photon-counting detector computed tomography and magnetic resonance imaging.

Lukas Müller, Tobias Jorg, Fabian Stoehr, Jan-Peter Grunz, Dirk Graafen, Moritz C Halfmann, Henner Huflage, Friedrich Foerster, Jens Mittler, Daniel Pinto Dos Santos and 3 more

Abstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Analysis of colorectal liver metastases in photon-counting detector CT - optimizing imaging through spectral reconstruction.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
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

13 authors.

Lukas MüllerDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Langenbeckstr. 1, Mainz, 55131, Germany. lukas.mueller@unimedizin-mainz.de.
Tobias JorgDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Langenbeckstr. 1, Mainz, 55131, Germany.
Fabian StoehrDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Langenbeckstr. 1, Mainz, 55131, Germany.
Jan-Peter GrunzDepartment of Radiology, University of Wisconsin, Madison, WI, USA.
Dirk GraafenDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Langenbeckstr. 1, Mainz, 55131, Germany.
Moritz C HalfmannDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Langenbeckstr. 1, Mainz, 55131, Germany.
Henner HuflageDepartment of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany.
Friedrich FoersterDepartment of Internal Medicine I, University Medical Center Mainz, Mainz, Germany.
Jens MittlerDepartment of General, Visceral and Transplant Surgery, University Medical Center Mainz, Mainz, Germany.
Daniel Pinto Dos SantosDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Langenbeckstr. 1, Mainz, 55131, Germany.
Tobias BäuerleDepartment of Diagnostic and Interventional Radiology, University Medical Center Mainz, Langenbeckstr. 1, Mainz, 55131, Germany.
Roman Kloeckner *Institute of Interventional Radiology, University Hospital of Schleswig-Holstein - Campus Lübeck, Lübeck, Germany.
Tilman Emrich *Department of Diagnostic and Interventional Radiology, University Medical Center Mainz, Langenbeckstr. 1, Mainz, 55131, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhoton-counting detector CT (PCD-CT) offers technical advantages over energy-integrating detector CT (EID-CT) for liver imaging. However, it is unclear whether these translate into clinical improvements regarding the classification of suspicious liver lesions using the Liver Imaging Reporting and Data System (LI-RADS). This study compared the intra- and intermodal agreement of EID-CT and PCD-CT with Magnetic resonance imaging (MRI) for liver lesion classification.

methodsThis retrospective study included patients who underwent EID-CT or PCD-CT and MRI within 30 days between 02/2023 and 01/2024. Three board-certified radiologists assessed LI-RADS classification and presence of LI-RADS major features. Fleiss' Kappa and intraclass correlation coefficients (ICC) were used to evaluate rater agreement.

resultsSixty-eight lesions in 26 patients (mean age 65.0 ± 14.2 years, 19 [73.1%] male) were analyzed. Intramodal inter-rater agreement for LI-RADS classification was 0.88 (0.62-0.88) for EID-CT, 0.90 (0.83-0.94) for PCD-CT, and 0.87 (0.81-0.91) for MRI. Agreement in PCD-CT was substantial for all LI-RADS major features, whereas in EID-CT only for washout. Intermodal agreement between CT and MRI ranged from 0.67 to 0.72. Final intermodal LI-RADS classification agreement was higher for PCD-CT (0.72-0.85) than EID-CT (0.52-0.64).

conclusionsPCD-CT demonstrated higher intermodal and intramodal agreement for LI-RADS classification and major features than EID-CT. Additionally, PCD-CT shows significantly higher intramodal and inter-rater agreement for LI-RADS classification and greater concordance with MRI compared to EID-CT, reaching substantial to almost perfect agreement. These results suggest a potential benefit of PCD-CT in the management and treatment decision-making of HCC.

Indexed as

Liver NeoplasmsMagnetic Resonance ImagingTomography, X-Ray ComputedAgedFemaleHumansMaleMiddle AgedRetrospective StudiesAccuracyHepatocellular CarcinomaLiver Imaging Reporting & Data SystemMagnetic Resonance ImagingPhoton-Counting Computed Tomography

Identifiers

PMID40804429
PMCPMC12351820

What OpenQuestion holds

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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.