Evidence map›Paper›PMID 20717825›Full record

Trial reportEuropean journal of nuclear medicine and molecular imaging2011

Differentiation of hepatocellular adenoma and focal nodular hyperplasia using 18F-fluorocholine PET/CT.

Jacomina W van den Esschert, Matthanja Bieze, Ulrich H Beuers, Thomas M van Gulik, Roelof J Bennink

Abstract readClinical Trial
In one paragraph

Trial report in European journal of nuclear medicine and molecular imaging, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. [Nuclear medicine and molecular imaging · 2024
    Article
  2. Article
  3. [Research progress in metabolic and receptor-like nuclear imaging agents for hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2016
    Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. That liver lesion on MDCT in the oncology patient: is it important?Cancer imaging : the official publication of the International Cancer Imaging Society · 2012
    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

5 authors.

Jacomina W van den EsschertDepartment of Surgery, Academic Medical Center Amsterdam, Amsterdam, The Netherlands. j.w.vandenesschert@amc.uva.nl
Matthanja Bieze
Ulrich H Beuers
Thomas M van Gulik
Roelof J Bennink

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this pilot study was to evaluate the use of PET/CT with (18)F-fluorocholine in the differentiation of hepatocellular adenoma (HCA) from focal nodular hyperplasia (FNH). Patients with liver lesions larger than 2 cm suspicious for HCA or FNH were prospectively included. All patients underwent PET/CT with (18)F-fluorocholine and histopathological diagnosis was obtained by either liver biopsy or surgery. The ratios between the maximum standardized uptake value (SUV) of the lesion and the mean SUV of normal liver parenchyma were calculated and a receiver operating characteristic (ROC) curve analysis was performed. Ten patients with FNH and 11 with HCA were included. The mean SUV ratio was 1.68±0.29 (±SD) for FNH and 0.88±0.18 for HCA (p<0.001). An SUV ratio cut-off value between 1.12 and 1.22 differentiated patients with FNH from those with HCA with 100% sensitivity and 100% specificity. This pilot study showed that PET/CT with (18)F-fluorocholine can differentiate HCA from FNH.

Indexed as

Positron-Emission TomographyTomography, X-Ray ComputedAdenoma, Liver CellAdultBiological TransportCholineDiagnosis, DifferentialFemaleFocal Nodular HyperplasiaHumansLiver NeoplasmsMiddle AgedPilot ProjectsYoung AdultCholinefluorocholine

Identifiers

PMID20717825
PMCPMC3034878

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.