Evidence map›Paper›PMID 31332792›Full record

ArticleMedical physics2019

MR-based CT metal artifact reduction for head-and-neck photon, electron, and proton radiotherapy.

Jonathan Scharff Nielsen, Koen Van Leemput, Jens Morgenthaler Edmund

Abstract read
In one paragraph

Article in Medical physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. MRI-induced artifact by a cochlear implant with a novel magnet system: an experimental cadaver study.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2021
    Article
  7. 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

3 authors.

Jonathan Scharff NielsenDepartment of Health Technology, Technical University of Denmark, 2800 Kgs., Lyngby, Denmark.
Koen Van LeemputDepartment of Health Technology, Technical University of Denmark, 2800 Kgs., Lyngby, Denmark.
Jens Morgenthaler EdmundRadiotherapy Research Unit, Department of Oncology, Gentofte and Herlev Hospital, University of Copenhagen, 2730, Herlev, Denmark.

Funding

Multi-modal Prediction of Future Clinical DementiaR21AG050122 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI VAN LEEMPUT, KOEN · 2016 to 2017
$470k
Danish Centre for Particle Therapy R125-A7753Danish Council for Independent Research DFF-6111-00291European Union's Horizon 2020 765148Herlev and Gentofte Hospital Research CouncilNIA NIH HHS R21 AG050122NIH National Institute on Aging R21AG050122
6 · The paper itself

Abstract

purposeWe investigated the impact on computed tomography (CT) image quality and photon, electron, and proton head-and-neck (H&N) radiotherapy (RT) dose calculations of three CT metal artifact reduction (MAR) approaches: A CT-based algorithm (oMAR Philips Healthcare), manual water override, and our recently presented, Magnetic Resonance (MR)-based kerMAR algorithm. We considered the following three hypotheses: I: Manual water override improves MAR over the CT- and MR-based alternatives; II: The automatic algorithms (oMAR and kerMAR) improve MAR over the uncorrected CT; III: kerMAR improves MAR over oMAR.

methodsWe included a veal shank phantom with/without six metal inserts and nine H&N RT patients with dental implants. We quantified the MAR capabilities by the reduction of outliers in the CT value distribution in regions of interest, and the change in particle range and photon depth at maximum dose.

resultsWater override provided apparent image improvements in the soft tissue region but insignificantly or negatively influenced the dose calculations. We however found significant improvements in image quality and particle range impact, compared to the uncorrected CT, when using oMAR and kerMAR. kerMAR in turn provided superior improvements in terms of high intensity streak suppression compared to oMAR, again with associated impacts on the particle range estimates.

conclusionWe found no benefits of the water override compared to the rest, and tentatively reject hypothesis I. We however found improvements in the automatic algorithms, and thus support for hypothesis II, and found the MR-based kerMAR to improve upon oMAR, supporting hypothesis III.

Indexed as

ArtifactsMagnetic Resonance ImagingMetalsTomography, X-Ray ComputedElectronsHead and Neck NeoplasmsHumansPhotonsProton TherapyRetrospective StudiesMetalsBayesian modellingcomputed tomographyCT metal artifact reductionproton therapyradiotherapy

Identifiers

PMID31332792
PMCPMC6802740

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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.