Evidence map›Paper›PMID 32093632›Full record

ArticleBMC medical imaging2020

The impact of 18F-FDOPA-PET/MRI image fusion in detecting liver metastasis in patients with neuroendocrine tumors of the gastrointestinal tract.

O Barachini, R Bernt, S Mirzaei, C Pirich, K Hergan, S Zandieh

Open access · goldAbstract read
In one paragraph

Article in BMC medical imaging, 2020. 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
0.6field-weighted citation impact, top 32% of its field
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, 7 citations in OpenAlex.

  1. Review
  2. PET/MRI imaging in neuroendocrine neoplasm.Abdominal radiology (New York) · 2023
    Review
  3. European journal of nuclear medicine and molecular imaging · 2021
    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

6 authors at 4 institutions in 1 country.

O BarachiniInstitute of Radiology and Nuclear Medicine, Hanusch-Hospital, Heinrich-Collin-Strasse 30, A-1140, Vienna, Austria.
R BerntInstitute of Radiology and Nuclear Medicine, Hanusch-Hospital, Heinrich-Collin-Strasse 30, A-1140, Vienna, Austria.
S MirzaeiDepartment of Nuclear Medicine with PET-Center, Wilhelminen-Hospital, Vienna, Austria.
C PirichDepartment of Nuclear Medicine, Paracelsus Medical University of Salzburg, Salzburg, Austria.
K HerganDepartment of Radiology, Paracelsus Medical University of Salzburg, Salzburg, Austria.
S ZandiehInstitute of Radiology and Nuclear Medicine, Hanusch-Hospital, Heinrich-Collin-Strasse 30, A-1140, Vienna, Austria. zandieh.s@icloud.com.
Hanusch Hospital · ATUniversity of Salzburg · ATParacelsus Medical University · ATWilhelminen Hospital · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study assesses the value of image fusion using 18F-fluoro-L-DOPA (18F-DOPA) positron emission tomography (PET) and magnetic resonance imaging (MRI) for examining patients with neuroendocrine tumors (NETs) and a suspicion of metastasis of the liver.

methodsEleven patients (five women and six men aged between 20 and 81, with a mean age of 54.6 years) were included in the study. All patients underwent whole-body 18F-DOPA PET examinations and contrast-enhanced MRI with diffusion-weighted sequences (DWS). Image fusion was performed using a semiautomatic voxel-based algorithm. Images obtained using PET and MRI were assessed separately. Side-by-side evaluations of fused PET/MRI images were also performed.

resultsIn total, 55 liver lesions (52 liver metastases and 3 benign lesions) were detected in the 11 patients. Sensitivity detection for liver lesions was higher when using PET/CT than when using contrast-enhanced MRI without DWSs and lower than using MRI with DWSs. The sensitivity of PET/MRI image fusion in the detection of liver metastasis was significantly higher than that of MRI with DWSs (P < 0.05).

conclusionImages of the liver obtained using PET and MRI in patients with NETs exhibited characteristic features. These findings suggest that an appropriate combination of available imaging modalities can optimize patient evaluations.

Indexed as

AdultAgedAged, 80 and overDiffusion Tensor ImagingDihydroxyphenylalanineFemaleGastrointestinal NeoplasmsHumansLiver NeoplasmsMagnetic Resonance ImagingMaleMiddle AgedMultimodal ImagingNeuroendocrine TumorsPositron-Emission TomographyRadiographic Image Interpretation, Computer-AssistedDihydroxyphenylalaninefluorodopa F 18LiverMagnetic resonance imagingMetastasisNeuroendocrine tumorsPositron emission tomography

Identifiers

PMID32093632
PMCPMC7038547
OpenAlexW3008356263

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.