Evidence map›Paper›PMID 37672211›Full record

ArticleJournal of applied clinical medical physics2023

Evaluation of computed tomography metal artifact and CyberKnife fiducial recognition for novel size fiducial markers.

Hikaru Nemoto, Masahide Saito, Toshihiro Suzuki, Hidekazu Suzuki, Naoki Sano, Zennosuke Mochizuki, Koji Mochizuki, Koji Ueda, Takafumi Komiyama, Kan Marino and 4 more

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

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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

14 authors.

Hikaru NemotoDepartment of Advanced Biomedical Imaging, University of Yamanashi, Yamanashi, Japan.
Masahide SaitoDepartment of Radiology, University of Yamanashi, Yamanashi, Japan.
Toshihiro SuzukiKasugai CyberKnife Rehabilitation Hospital, Yamanashi, Japan.
Hidekazu SuzukiDepartment of Radiology, University of Yamanashi, Yamanashi, Japan.
Naoki SanoDepartment of Radiology, University of Yamanashi, Yamanashi, Japan.
Zennosuke MochizukiKasugai CyberKnife Rehabilitation Hospital, Yamanashi, Japan.
Koji MochizukiKasugai CyberKnife Rehabilitation Hospital, Yamanashi, Japan.
Koji UedaDepartment of Radiology, University of Yamanashi, Yamanashi, Japan.
Takafumi KomiyamaDepartment of Radiology, University of Yamanashi, Yamanashi, Japan.
Kan MarinoDepartment of Radiology, University of Yamanashi, Yamanashi, Japan.
Shinichi AokiDepartment of Radiology, University of Yamanashi, Yamanashi, Japan.
Mitsuhiko OguriDepartment of Radiology, Shizuoka General Hospital, Shizuoka, Japan.
Hiroshi TakahashiKasugai CyberKnife Rehabilitation Hospital, Yamanashi, Japan.
Hiroshi OnishiDepartment of Radiology, University of Yamanashi, Yamanashi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to compare fiducial markers used in CyberKnife treatment in terms of metal artifact intensity observed in CT images and fiducial recognition in the CyberKnife system affected by patient body thickness and type of marker.

methodsFive markers, ACCULOC 0.9 mm × 3 mm, Ball type Gold Anchor (GA) 0.28 mm × 10 mm, 0.28 mm × 20 mm, and novel size GA 0.4 mm × 10 mm, 0.4 mm × 20 mm were evaluated. To evaluate metal artifacts of CT images, two types of CT images of water-equivalent gels with each marker were acquired using Aquilion LB CT scanner, one applied SEMAR (SEMAR-on) and the other did not apply this technique (SEMAR-off). The evaluation metric of artifact intensity (M

resultsThe mean M

conclusionsWe demonstrated the potential to reduce metal artifacts in the CT image to the same level for all the markers we evaluated by applying SEMAR. Additionally, the fiducial recognition of each marker may vary depending on the thickness of the patient's body. Particularly, we showed that GA 0.40 × 20 mm may have more optimal recognition for CyberKnife treatment in cases of high bodily thickness in comparison to the other markers.

Indexed as

Fiducial MarkersRadiotherapy, Image-GuidedAlgorithmsArtifactsGoldHumansTomography, X-Ray ComputedWaterGoldWaterCT-artifactsCyberKnife systemfiducialimage recognitionmarkers

Identifiers

PMID37672211
PMCPMC10691645

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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.