Evidence map›Paper›PMID 24577950›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2014

PET/MRI and PET/CT in follow-up of head and neck cancer patients.

Marcelo A Queiroz, Martin Hüllner, Felix Kuhn, Gerhardt Huber, Christian Meerwein, Spyros Kollias, Gustav von Schulthess, Patrick Veit-Haibach

Abstract readComparative StudyEvaluation Study
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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
11.0field-weighted citation impact, top 1% 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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 90 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Application ofDiagnostics (Basel, Switzerland) · 2025
    Article
  7. Review
  8. Head and Neck Tumor Segmentation Using Pre-RT MRI Scans and Cascaded DualUNet.Head and Neck Tumor Segmentation for MR-Guided Applications : First MICCAI Challenge, HNTS-MRG 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024, proceedings · 2025
    Article
  9. The use of PET/MRI in radiotherapy.Insights into imaging · 2024
    Review
  10. International EANM-SNMMI-ISMRM consensus recommendation for PET/MRI in oncology.European journal of nuclear medicine and molecular imaging · 2023
    Article
  11. Diagnostic Accuracy ofContrast media & molecular imaging · 2022
    Observational
  12. Article
  13. Value ofCancer management and research · 2021
    Article
  14. Are Gadolinium-Enhanced MR Sequences Needed in SimultaneousAJNR. American journal of neuroradiology · 2020
    Article
  15. Improving MR sequence of 18F-FDG PET/MR for diagnosing and staging gastric Cancer: a comparison study toCancer imaging : the official publication of the International Cancer Imaging Society · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. Comparison ofEuropean journal of nuclear medicine and molecular imaging · 2020
    Article
  20. Cancers · 2019
    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

8 authors at 1 institution in 1 country.

Marcelo A QueirozDepartment of Medical Radiology, Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland, marcelo.araujoqueiroz@usz.ch.
Martin Hüllner
Felix Kuhn
Gerhardt Huber
Christian Meerwein
Spyros Kollias
Gustav von Schulthess
Patrick Veit-Haibach
University Hospital of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePositron emission tomography (PET)/MRI combines the functional ability of PET and the high soft tissue contrast of MRI. The aim of this study was to assess contrast-enhanced (ce)PET/MRI compared to cePET/CT in patients with suspected recurrence of head and neck cancer (HNC).

methodsEighty-seven patients underwent sequential cePET/CT and cePET/MRI using a trimodality PET/CT-MRI set-up. Diagnostic accuracy for the detection of recurrent HNC was evaluated using cePET/CT and cePET/MRI. Furthermore, image quality, presence of unclear (18)F-fluorodeoxy-D-glucose (FDG) findings of uncertain significance and the diagnostic advantages of use of gadolinium contrast enhancement were analysed.

resultscePET/MRI showed no statistically significant difference in diagnostic accuracy compared to cePET/CT (91.5 vs 90.6%). Artefacts' grade was similar in both methods, but their location was different. cePET/CT artefacts were primarily located in the suprahyoid area, while on cePET/MRI, artefacts were more equally distributed among the supra and infrahyoid neck regions. cePET/MRI and cePET/CT showed 34 unclear FDG findings; of those 11 could be solved by cePET/MRI and 5 by cePET/CT. The use of gadolinium in PET/MRI did not yield higher diagnostic accuracy, but helped to better define tumour margins in 6.9% of patients.

conclusionOur data suggest that cePET/MRI may be superior compared to cePET/CT to specify unclear FDG uptake related to possible tumour recurrence in follow-up of patients after HNC. It seems to be the modality of choice for the evaluation of the oropharynx and the oral cavity because of a higher incidence of artefacts in cePET/CT in this area mainly due to dental implants. However, overall there is no statistically significant difference.

Indexed as

Magnetic Resonance ImagingMultimodal ImagingPositron-Emission TomographyTomography, X-Ray ComputedAdultAgedAged, 80 and overCarcinomaFemaleFluorodeoxyglucose F18Follow-Up StudiesHead and Neck NeoplasmsHumansMaleMiddle AgedPredictive Value of TestsFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID24577950
OpenAlexW2068316543

What OpenQuestion holds

Textmetadata
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.