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ArticleStrahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]2016

Iterative metal artifact reduction improves dose calculation accuracy : Phantom study with dental implants.

Manuel Maerz, Pia Mittermair, Andreas Krauss, Oliver Koelbl, Barbara Dobler

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Article in Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al], 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Metal artefact reduction for accurate tumour delineation in radiotherapy.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2018
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  13. [Metal artifact reduction for dental implants in kilovoltage computed tomography using megavoltage cone-beam computer tomography].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2017
    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

5 authors.

Manuel MaerzDepartment of Radiotherapy, Regensburg University Medical Center, 93042, Regensburg, Germany. manuel.maerz@klinik.uni-regensburg.de.
Pia MittermairDepartment of Radiotherapy, Regensburg University Medical Center, 93042, Regensburg, Germany.
Andreas KraussSiemens Healthcare GmbH, Forchheim, Germany.
Oliver KoelblDepartment of Radiotherapy, Regensburg University Medical Center, 93042, Regensburg, Germany.
Barbara DoblerDepartment of Radiotherapy, Regensburg University Medical Center, 93042, Regensburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMetallic dental implants cause severe streaking artifacts in computed tomography (CT) data, which affect the accuracy of dose calculations in radiation therapy. The aim of this study was to investigate the benefit of the metal artifact reduction algorithm iterative metal artifact reduction (iMAR) in terms of correct representation of Hounsfield units (HU) and dose calculation accuracy. MATERIALS AND

methodsHeterogeneous phantoms consisting of different types of tissue equivalent material surrounding metallic dental implants were designed. Artifact-containing CT data of the phantoms were corrected using iMAR. Corrected and uncorrected CT data were compared to synthetic CT data to evaluate accuracy of HU reproduction. Intensity-modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT) plans were calculated in Oncentra v4.3 on corrected and uncorrected CT data and compared to Gafchromic™ EBT3 films to assess accuracy of dose calculation.

resultsThe use of iMAR increased the accuracy of HU reproduction. The average deviation of HU decreased from 1006 HU to 408 HU in areas including metal and from 283 HU to 33 HU in tissue areas excluding metal. Dose calculation accuracy could be significantly improved for all phantoms and plans: The mean passing rate for gamma evaluation with 3 % dose tolerance and 3 mm distance to agreement increased from 90.6 % to 96.2 % if artifacts were corrected by iMAR.

conclusionThe application of iMAR allows metal artifacts to be removed to a great extent which leads to a significant increase in dose calculation accuracy.

Indexed as

ArtifactsDental ImplantsHumansMetalsPhantoms, ImagingRadiographic Image EnhancementRadiometryRadiotherapy DosageRadiotherapy Planning, Computer-AssistedReproducibility of ResultsSensitivity and SpecificityTomography, X-Ray ComputedDental ImplantsMetalsDental implantsDose calculationGafchromicMARMetal artifact reductionMetal artifactsRadiation therapy

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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.