Evidence map›Paper›PMID 40710894›Full record

ArticleTomography (Ann Arbor, Mich.)2025

Optimizing Imaging Parameters for Assessment of Hepatocellular Carcinoma Using Photon-Counting Detector Computed Tomography-Impact of Reconstruction Kernel and Slice Thickness.

Anna Szelenyi, Philipp Stelzer, Christian Wassipaul, Jakob Kittinger, Andreas Strassl, Victor Schmidbauer, Martin Luther Watzenböck, Florian Lindenlaub, Michael Arnoldner, Michael Weber and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Anna SzelenyiDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.
Philipp StelzerDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.
Christian WassipaulDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-6468-5577
Jakob KittingerDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.
Andreas StrasslDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-7320-0279
Victor SchmidbauerDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-3599-1436
Martin Luther WatzenböckDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.
Florian LindenlaubDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-0232-1639
Michael ArnoldnerDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.
Michael WeberDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-8507-2219
Matthias PinterDivision of Gastroenterology and Hepatology, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0002-7260-532X
Ruxandra-Iulia MilosDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.ORCID 0000-0001-7254-5606
Dietmar TamandlDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, 1090 Vienna, Austria.

Funding

Siemens Healthineers AG C00241776
6 · The paper itself

Abstract

backgroundThe use of photon-counting detector computed tomography (PCD-CT) has improved image quality in cardiac, pulmonary, and musculoskeletal imaging. Abdominal imaging research, especially about the use of PCD-CT in hepatocellular carcinoma (HCC), is sparse.

objectivesWe aimed to compare the image quality of tumors, the liver parenchyma, and the vasculature in patients with HCC using PCD-CT reconstructions at different slice thicknesses and kernels to identify the most appropriate settings for the clinical routine.

methodsCT exams from twenty adult patients with HCC performed with a clinically approved, first-generation PCD-CT scanner (Naeotom Alpha

resultsCompared with the clinical reference, the Br44

conclusionPCD-CT reconstruction Br40

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsRadiographic Image Interpretation, Computer-AssistedTomography, X-Ray ComputedAdultAgedFemaleHumansLiverMaleMiddle AgedRetrospective Studieshepatocellular carcinomakernel reconstructionsphoton counting detector computed tomographyspatial resolution

Identifiers

PMID40710894
PMCPMC12299250

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.