Evidence map›Paper›PMID 26501810›Full record

ArticleEJNMMI physics2015

Dental artifacts in the head and neck region: implications for Dixon-based attenuation correction in PET/MR.

Claes N Ladefoged, Adam E Hansen, Sune H Keller, Barbara M Fischer, Jacob H Rasmussen, Ian Law, Andreas Kjær, Liselotte Højgaard, Francois Lauze, Thomas Beyer and 1 more

Abstract read
In one paragraph

Article in EJNMMI physics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 4 pooled it
–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

16 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Guideline
  2. Guideline
  3. Pooled it
  4. Pooled it
  5. Review
  6. Review
  7. Article
  8. International EANM-SNMMI-ISMRM consensus recommendation for PET/MRI in oncology.European journal of nuclear medicine and molecular imaging · 2023
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Comparison between MRI-based attenuation correction methods for brain PET in dementia patients.European journal of nuclear medicine and molecular imaging · 2016
    Article
  16. Automatic correction of dental artifacts in PET/MRI.Journal of medical imaging (Bellingham, Wash.) · 2015
    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

11 authors.

Claes N LadefogedDepartment of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen East, Denmark. claesnl@gmail.com.
Adam E HansenDepartment of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen East, Denmark. adam.espe.hansen@regionh.dk.
Sune H KellerDepartment of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen East, Denmark. sune.hoegild.keller@regionh.dk.
Barbara M FischerDepartment of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen East, Denmark. malene.fischer@regionh.dk.
Jacob H RasmussenDepartment of Oncology, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen East, Denmark. jacobrasmu@gmail.com.
Ian LawDepartment of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen East, Denmark. ian.law@regionh.dk.
Andreas KjærDepartment of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen East, Denmark. andreas.kjaer@regionh.dk.
Liselotte HøjgaardDepartment of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen East, Denmark. liselotte.hoejgaard@rh.regionh.dk.
Francois LauzeDepartment of Computer Science, University of Copenhagen, Universitetsparken 5, 2100, Copenhagen East, Denmark. francois@di.ku.dk.
Thomas BeyerCentre for Medical Physics and Biomedical Engineering, Medical University of Vienna, Waehringer Guertel 18-20/4L, Vienna, A-1090, Austria. Thomas.Beyer@meduniwien.ac.at.
Flemming L AndersenDepartment of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100, Copenhagen East, Denmark. flemming.andersen@regionh.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the absence of CT or traditional transmission sources in combined clinical positron emission tomography/magnetic resonance (PET/MR) systems, MR images are used for MR-based attenuation correction (MR-AC). The susceptibility effects due to metal implants challenge MR-AC in the neck region of patients with dental implants. The purpose of this study was to assess the frequency and magnitude of subsequent PET image distortions following MR-AC.

methodsA total of 148 PET/MR patients with clear visual signal voids on the attenuation map in the dental region were included in this study. Patients were injected with [(18)F]-FDG, [(11)C]-PiB, [(18)F]-FET, or [(64)Cu]-DOTATATE. The PET/MR data were acquired over a single-bed position of 25.8 cm covering the head and neck. MR-AC was based on either standard MR-ACDIXON or MR-ACINPAINTED where the susceptibility-induced signal voids were substituted with soft tissue information. Our inpainting algorithm delineates the outer contour of signal voids breaching the anatomical volume using the non-attenuation-corrected PET image and classifies the inner air regions based on an aligned template of likely dental artifact areas. The reconstructed PET images were evaluated visually and quantitatively using regions of interests in reference regions. The volume of the artifacts and the computed relative differences in mean and max standardized uptake value (SUV) between the two PET images are reported.

resultsThe MR-based volume of the susceptibility-induced signal voids on the MR-AC attenuation maps was between 1.6 and 520.8 mL. The corresponding/resulting bias of the reconstructed tracer distribution was localized mainly in the area of the signal void. The mean and maximum SUVs averaged across all patients increased after inpainting by 52% (± 11%) and 28% (± 11%), respectively, in the corrected region. SUV underestimation decreased with the distance to the signal void and correlated with the volume of the susceptibility artifact on the MR-AC attenuation map.

conclusionsMetallic dental work may cause severe MR signal voids. The resulting PET/MR artifacts may exceed the actual volume of the dental fillings. The subsequent bias in PET is severe in regions in and near the signal voids and may affect the conspicuity of lesions in the mandibular region.

Indexed as

Attenuation correctionInpaintingMetal artifactsPET/MRIQuantification

Identifiers

PMID26501810
PMCPMC4546019

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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.