Evidence map›Paper›PMID 33446225›Full record

ArticleRadiation oncology (London, England)2021

Impact of four-dimensional cone-beam computed tomography on target localization for gastric mucosa-associated lymphoid tissue lymphoma radiotherapy: reducing planning target volume.

Yoshinobu Shimohigashi, Ryo Toya, Tetsuo Saito, Yumiko Kono, Yasuhiro Doi, Yoshiyuki Fukugawa, Takahiro Watakabe, Tadashi Matsumoto, Yudai Kai, Masato Maruyama and 1 more

Abstract read
In one paragraph

Article in Radiation oncology (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Radiotherapy for gastric mucosa-associated lymphoid tissue lymphoma.World journal of gastrointestinal oncology · 2021
    Review
  9. Implementation ofIn vivo (Athens, Greece)
    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

11 authors.

Yoshinobu ShimohigashiDepartment of Radiological Technology, Kumamoto University Hospital, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan. shimohe@kuh.kumamoto-u.ac.jp.ORCID http://orcid.org/0000-0003-2948-0733
Ryo ToyaDepartment of Radiation Oncology, Kumamoto University Hospital, Kumamoto, Japan.
Tetsuo SaitoDepartment of Radiation Oncology, Kumamoto University Hospital, Kumamoto, Japan.
Yumiko KonoDepartment of Radiological Technology, Kumamoto University Hospital, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan.
Yasuhiro DoiDepartment of Radiological Technology, Kumamoto University Hospital, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan.
Yoshiyuki FukugawaDepartment of Radiation Oncology, Kumamoto University Hospital, Kumamoto, Japan.
Takahiro WatakabeDepartment of Radiation Oncology, Kumamoto University Hospital, Kumamoto, Japan.
Tadashi MatsumotoDepartment of Radiation Oncology, Kumamoto University Hospital, Kumamoto, Japan.
Yudai KaiDepartment of Radiological Technology, Kumamoto University Hospital, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan.
Masato MaruyamaDepartment of Radiological Technology, Kumamoto University Hospital, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan.
Natsuo OyaDepartment of Radiation Oncology, Kumamoto University Hospital, Kumamoto, Japan.

Funding

Japan Society for the Promotion of Science (JSPS), KAKENHI JP17K16459Japan Society for the Promotion of Science (JSPS), KAKENHI JP20K16793
6 · The paper itself

Abstract

backgroundRadiotherapy of gastric mucosa-associated lymphoid tissue (MALT) lymphoma should be delivered to the entire stomach with planning target volume (PTV) that accounts for variations in stomach volume, respiratory movement, and patient set-up error. In this study, we evaluated whether the use of four-dimensional cone-beam computed tomography (4D-CBCT) reduces the PTV.

methodsEight patients underwent radiotherapy with 15 fractions of gastric MALT lymphoma using 4D-CBCT. PTV structures of 5-30 mm margins (5 mm intervals) from the clinical target volume (CTV) delineated based on the 4D-CT images (CTV-4D) were generated. For the target localization, we performed matching based on skin marking (skin matching), bone anatomy (bone matching), and stomach anatomy (4D soft-tissue matching) based on registration between planning CT and 4D-CBCT images from 10 phases. For each patient, we calculated the covering ratio (CR) of the stomach with variable PTV structures, based on the 4D-CBCT images, with a total of 150 phases [CR (%) = (number of covering phases/150 phases) × 100], for three target localization methods. We compared the CR values of the different target localization methods and defined the PTV with an average CR of ≥ 95% for all patients.

resultsThe average CR for all patients increased from 17.9 to 100%, 19.6 to 99.8%, and 33.8 to 100%, in the skin, bone, and 4D soft-tissue matchings, respectively, as the PTV structures increased from 5 to 30 mm. The CR obtained by 4D soft-tissue matching was superior to that obtained by skin (P = 0.013) and bone matching (P = 0.008) for a PTV structure of 15 mm margin. The PTV required an additional margin of 20 mm (average CR: 95.2%), 25 mm (average CR: 99.1%), and 15 mm (average CR: 98.0%) to CTV-4D for the skin, bone, and 4D soft-tissue matchings, respectively.

conclusionsThis study demonstrates that the use of 4D-CBCT reduces the PTV when applying 4D soft-tissue matching, compared to skin and bone matchings. Additionally, bone matching does not reduce the PTV as compared with traditional skin matching.

Indexed as

Cone-Beam Computed TomographyFour-Dimensional Computed TomographyHumansLymphoma, B-Cell, Marginal ZoneRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedRetrospective StudiesStomach NeoplasmsFour-dimensional computed tomographyFour-dimensional cone-beam computed tomographyImage-guided radiotherapyMalignant lymphomaMucosa-associated lymphoid tissue lymphomaPlanning target volume

Identifiers

PMID33446225
PMCPMC7807891

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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.