Evidence map›Paper›PMID 26667965›Full record

ArticleMagma (New York, N.Y.)2016

Potential influence of Gadolinium contrast on image segmentation in MR-based attenuation correction with Dixon sequences in whole-body 18F-FDG PET/MR.

Verena Ruhlmann, Philipp Heusch, Hilmar Kühl, Karsten Beiderwellen, Gerald Antoch, Michael Forsting, Andreas Bockisch, Christian Buchbender, Harald H Quick

Abstract read
PubMed Publisher
In one paragraph

Article in Magma (New York, N.Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. International EANM-SNMMI-ISMRM consensus recommendation for PET/MRI in oncology.European journal of nuclear medicine and molecular imaging · 2023
    Article
  4. Cardiac PET/MRI-an update.European journal of hybrid imaging · 2019
    Review
  5. 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

9 authors at 2 institutions in 1 country.

Verena RuhlmannDepartment of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, Hufelandstr. 55, 45122, Essen, Germany. verena.ruhlmann@uk-essen.de.
Philipp HeuschDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University of Dusseldorf, 40225, Dusseldorf, Germany.
Hilmar KühlDepartment of Diagnostic and Interventional Radiology and Neuroradiology, University of Duisburg-Essen, 45147, Essen, Germany.
Karsten BeiderwellenDepartment of Diagnostic and Interventional Radiology and Neuroradiology, University of Duisburg-Essen, 45147, Essen, Germany.
Gerald AntochDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University of Dusseldorf, 40225, Dusseldorf, Germany.
Michael ForstingDepartment of Diagnostic and Interventional Radiology and Neuroradiology, University of Duisburg-Essen, 45147, Essen, Germany.
Andreas BockischDepartment of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, Hufelandstr. 55, 45122, Essen, Germany.
Christian BuchbenderDepartment of Diagnostic and Interventional Radiology, Medical Faculty, University of Dusseldorf, 40225, Dusseldorf, Germany.
Harald H QuickErwin L. Hahn Institute for MR Imaging, University of Duisburg-Essen, 45141, Essen, Germany.
University of Duisburg-Essen · DEHeinrich Heine University Düsseldorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the influence of Gadolinium contrast agent on image segmentation in magnetic resonance (MR)-based attenuation correction (AC) with four-segment dual-echo time Dixon-sequences in whole-body [18F]-fluorodeoxyglucose positron emission tomography (PET)/MR imaging, and to analyze the consecutive effect on standardized uptake value (SUV). MATERIALS AND

methodsHybrid imaging with an integrated PET/MR system was performed in 30 oncological patients. AC was based on MR imaging with a Dixon sequence with subsequent automated image segmentation. AC maps (µmaps) were acquired and reconstructed prior to (µmap-gd) and after (µmap+gd) Gd-contrast agent application. For quantification purposes, the SUV of organs and tumors based on both µmaps were compared.

resultsTissue classification based on µmap-gd was correct in 29/30 patients; based on µmap+gd, the brain was falsely classified as fat in 12/30 patients with significant underestimation of SUV. In all cancerous lesions, tissue segmentation was correct. All concordant µmaps-gd/+gd resulted in no significant difference in SUV.

conclusionIn PET/MR, Gd-contrast agent potentially influences fat/water separation in Dixon-sequences of the head with above-average false tissue segmentation and an associated underestimation of SUV. Thus, MR-based AC should be acquired prior to Gd-contrast agent application. Additionally, integrating the MR-based AC maps into the reading-routine in PET/MR is recommended to avoid interpretation errors in cases where tissue segmentation fails.

Indexed as

Fluorodeoxyglucose F18GadoliniumAdultAgedContrast MediaFemaleHumansImage EnhancementMagnetic Resonance ImagingMaleMiddle AgedMultimodal ImagingNeoplasmsPositron-Emission TomographyRadiopharmaceuticalsReproducibility of ResultsContrast MediaFluorodeoxyglucose F18GadoliniumRadiopharmaceuticalsAttenuation correction (AC)MR-based tissue segmentationPET/MRSUV

Identifiers

PMID26667965
OpenAlexW2221157563

What OpenQuestion holds

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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.