Evidence map›Paper›PMID 31140058›Full record

ArticleRadiological physics and technology2019

Dosimetric assessment of a single-energy metal artifact reduction algorithm for computed tomography images in radiation therapy.

Hiroo Murazaki, Junichi Fukunaga, Taka-Aki Hirose, Naomi Funatsu, Ryoji Matsumoto, Kyohei Hidaka, Shuji Nagamine, Daiki Nakanishi, Toyoyuki Kato

Abstract read
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In one paragraph

Article in Radiological physics and technology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. 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

9 authors at 2 institutions in 1 country.

Hiroo MurazakiDivision of Radiology, Department of Medical Technology, Kyushu University Hospital, 3-1-1 Maidashi, Fukuoka, 812-8582, Japan. murasaki@r-tec.med.kyushu-u.ac.jp.ORCID http://orcid.org/0000-0002-3320-8305
Junichi FukunagaDivision of Radiology, Department of Medical Technology, Kyushu University Hospital, 3-1-1 Maidashi, Fukuoka, 812-8582, Japan.
Taka-Aki HiroseDivision of Radiology, Department of Medical Technology, Kyushu University Hospital, 3-1-1 Maidashi, Fukuoka, 812-8582, Japan.
Naomi FunatsuDivision of Radiology, Department of Medical Technology, Kyushu University Hospital, 3-1-1 Maidashi, Fukuoka, 812-8582, Japan.
Ryoji MatsumotoDivision of Radiology, Department of Medical Technology, Kyushu University Hospital, 3-1-1 Maidashi, Fukuoka, 812-8582, Japan.
Kyohei HidakaDivision of Radiology, Department of Medical Technology, Kyushu University Hospital, 3-1-1 Maidashi, Fukuoka, 812-8582, Japan.
Shuji NagamineDivision of Radiology, Department of Medical Technology, Kyushu University Hospital, 3-1-1 Maidashi, Fukuoka, 812-8582, Japan.
Daiki NakanishiDivision of Radiology, Department of Medical Technology, Kyushu University Hospital, 3-1-1 Maidashi, Fukuoka, 812-8582, Japan.
Toyoyuki KatoDivision of Radiology, Department of Medical Technology, Kyushu University Hospital, 3-1-1 Maidashi, Fukuoka, 812-8582, Japan.
Kyushu University Hospital · JPKyushu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate the performance of a single-energy metal artifact reduction (SEMAR) algorithm for radiation therapy treatment using phantom cases with metal inserts, assess improvements in computed tomography (CT) number accuracy, and investigate its effects on treatment planning dosimetry. A standard electron density phantom was scanned with and without metal inserts. The numbers of tissue-equivalent materials on both uncorrected and SEMAR-corrected CT images were compared. Treatment planning accuracy was evaluated by comparing dose distributions computed using true density images (without metal inserts), uncorrected images (with metal inserts), and SEMAR-corrected images (with metal inserts) using three-dimensional gamma analysis. The numbers of the true density and uncorrected and SEMAR-corrected CT images in a muscle plug with unilateral inserts were 25.9 HU, - 281.8 HU, and 26.1 HU, respectively. A similar tendency was obtained for other tissue-equivalent materials, and the numbers on CT images were improved with the SEMAR algorithm. In cases involving 1 portal irradiation, 10-MV X-ray, and the Acuros XB algorithm, the pass ratio between the true density and uncorrected images was 89.89%, while that between the true density and SEMAR-corrected images was 95.03%. Improvements in dose distribution were evident using the SEMAR algorithm. Similar trends were found for different irradiation methods and dose calculation algorithms. The SEMAR algorithm can significantly reduce metal artifacts on CT images used for radiation treatment planning. This aspect influenced dosimetry in the region of the artifact and dose distribution was significantly improved with use of the SEMAR-corrected images.

Indexed as

AlgorithmsArtifactsMetalsRadiotherapy, Image-GuidedTomography, X-Ray ComputedRadiometryRadiotherapy DosageMetalsDose distributionMetal artifact reductionRadiation treatment planningSingle-energy metal artifact reduction

Identifiers

PMID31140058
OpenAlexW2947671688

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.