Evidence map›Paper›PMID 40761189›Full record

ArticleTechnical innovations & patient support in radiation oncology2025

New workflow and motion analysis for gastric mucosa-associated lymphoid tissue lymphoma on a 1.5-T MR-Linac.

Masato Tsuneda, Kota Abe, Yukinao Abe, Yohei Ikeda, Asuka Kodate, Aki Kanazawa, Makoto Saito, Rintaro Harada, Miho Watanabe, Takashi Uno

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In one paragraph

Article in Technical innovations & patient support in radiation oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Masato TsunedaDepartment of Radiation Oncology, MR Linac ART Division, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan.
Kota AbeDepartment of Radiation Oncology, MR Linac ART Division, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan.
Yukinao AbeDepartment of Radiology, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba 260-8677, Japan.
Yohei IkedaDepartment of Radiology, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba 260-8677, Japan.
Asuka KodateDepartment of Radiology, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba 260-8677, Japan.
Aki KanazawaDepartment of Radiology, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba 260-8677, Japan.
Makoto SaitoDepartment of Radiology, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba 260-8677, Japan.
Rintaro HaradaDepartment of Radiology, Chiba University Hospital, 1-8-1 Inohana, Chuo-ku, Chiba 260-8677, Japan.
Miho WatanabeDiagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan.
Takashi UnoDiagnostic Radiology and Radiation Oncology, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed and evaluated a multiplane cine magnetic resonance imaging (MRI) workflow for magnetic resonance (MR)-guided online adaptive radiation therapy (MRgOART) for gastric mucosa-associated lymphoid tissue (MALT) lymphoma. Two patients underwent MRgOART using this workflow, which enabled real-time assessments of stomach motion and ensured accurate target coverage within a planning target volume. Our workflow allowed visualization of the stomach with complex intrafractional motion caused by respiration and peristalsis. The total treatment time was clinically acceptable. All fractions satisfied our dose constraints. Our workflow supports precise MRgOART delivery for targets with variable shapes and motion, such as gastric MALT lymphoma.

Indexed as

Cine magnetic resonance imagingGastric mucosa-associated lymphoid tissue lymphomaMagnetic resonance-guided online adaptive radiation therapy

Identifiers

PMID40761189
PMCPMC12320183

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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.