Evidence map›Paper›PMID 33458393›Full record

ArticlePhysics and imaging in radiation oncology2018

An uncertainty metric to evaluate deformation vector fields for dose accumulation in radiotherapy.

Akihiro Takemura, Akira Nagano, Hironori Kojima, Tomohiro Ikeda, Noriomi Yokoyama, Kosuke Tsukamoto, Kimiya Noto, Naoki Isomura, Shinichi Ueda, Hiroki Kawashima

Open access · goldAbstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Akihiro TakemuraFaculty of Health Sciences, Institution of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 5-11-80 Kodatsuno, Kanazawa 920-0942, Japan.
Akira NaganoDivision of Radiology, Okayama University Hospital, 2-5-1 Shikatacho, Kitaku, Okayama 700-8558, Japan.
Hironori KojimaDepartment of Radiological Technology, Kanazawa University Hospital, 13-1 Takaramachi, Kanazawa 920-8641, Japan.
Tomohiro IkedaDepartment of Radiation Oncology, Southern Tohoku Proton Therapy Center, 7-115 Yatsuyamada, Koriyama-City, Fukushima-Pref. 963-8563, Japan.
Noriomi YokoyamaDivision of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, 5-11-80 Kodatsuno, Kanazawa 920-0942, Japan.
Kosuke TsukamotoDepartment of Radiological Technology, Kanazawa University Hospital, 13-1 Takaramachi, Kanazawa 920-8641, Japan.
Kimiya NotoDepartment of Radiological Technology, Kanazawa University Hospital, 13-1 Takaramachi, Kanazawa 920-8641, Japan.
Naoki IsomuraDepartment of Radiological Technology, Kanazawa University Hospital, 13-1 Takaramachi, Kanazawa 920-8641, Japan.
Shinichi UedaDepartment of Radiological Technology, Kanazawa University Hospital, 13-1 Takaramachi, Kanazawa 920-8641, Japan.
Hiroki KawashimaFaculty of Health Sciences, Institution of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 5-11-80 Kodatsuno, Kanazawa 920-0942, Japan.
Kanazawa University · JPKanazawa University Hospital · JPOkayama University Hospital · JPSouthern Tohoku General Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeIn adaptive radiotherapy, deformable image registration (DIR) is used to propagate delineations of tumors and organs into a new therapy plan and to calculate the accumulated total dose. Many DIR accuracy metrics have been proposed. An alternative proposed here could be a local uncertainty (LU) metric for DIR results. MATERIALS AND

methodsThe LU represented the uncertainty of each DIR position and was focused on deformation evaluation in uniformly-dense regions. Four cases demonstrated LU calculations: two head and neck cancer cases, a lung cancer case, and a prostate cancer case. Each underwent two CT examinations for radiotherapy planning.

resultsLU maps were calculated from each DIR of the clinical cases. Reduced fat regions had LUs of 4.6 ± 0.9 mm, 4.8 ± 1.0 mm, and 4.5 ± 0.7 mm, while the shrunken left parotid gland had a LU of 4.1 ± 0.8 mm and the shrunken lung tumor had a LU of 3.7 ± 0.7 mm. The bowels in the pelvic region had a LU of 10.2 ± 3.7 mm. LU histograms for the cases were similar and 99% of the voxels had a LU < 3 mm.

conclusionsLU is a new uncertainty metric for DIR that was demonstrated for clinical cases. It had a tolerance of <3 mm.

Indexed as

Deformable image registrationDeformation vector field correctnessRadiotherapyUncertainty

Identifiers

PMID33458393
PMCPMC7807581
OpenAlexW2805866391

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.