Evidence map›Paper›PMID 40618162›Full record

ArticleRadiation oncology (London, England)2025

Prescription dose and optimisation strategies in MR-guided online adaptive radiotherapy for kidney tumours: a two-step planning analysis.

Takaya Yamamoto, Noriyoshi Takahashi, Shohei Tanaka, Rei Umezawa, Yu Suzuki, Keita Kishida, So Omata, Kazuya Takeda, Hinako Harada, Kiyokazu Sato and 2 more

Abstract read
In one paragraph

Article in Radiation oncology (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed.

  1. 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

12 authors.

Takaya YamamotoDepartment of Radiation Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan. takaya.yamamoto.c3@tohoku.ac.jp.
Noriyoshi TakahashiDepartment of Radiation Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Shohei TanakaDepartment of Radiation Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Rei UmezawaDepartment of Radiation Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Yu SuzukiDepartment of Radiation Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Keita KishidaDepartment of Radiation Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
So OmataDepartment of Radiation Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Kazuya TakedaDepartment of Radiation Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Hinako HaradaDepartment of Radiation Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Kiyokazu SatoDepartment of Radiation Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Noriyuki KadoyaDepartment of Radiation Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.
Keiichi JinguDepartment of Radiation Oncology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai, 980-8574, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStereotactic radiotherapy (SRT) for kidney cancer, particularly when tumours are situated near critical organs-at-risk (OARs), presents significant challenges in achieving optimal dose delivery. MR-guided online adaptive radiotherapy (MRgoART) offers a promising solution by allowing real-time anatomical modification and plan reoptimisation. However, the ideal strategy for prescription dose selection and reoptimisation remains unclear.

methodsThis single-centre planning study evaluated kidney tumours located within 1 cm of gastrointestinal OARs. In Step 1, prescription doses for MRgoART were compared: the target dose (26 Gy) versus the planned dose (adjusted during pre-treatment planning to satisfy OAR constraints). In Step 2, two optimisation strategies were assessed: (1) covering 99% of the planning target volume (PTV) with the prescription dose (99%_xGy_Plan) and (2) delivering the full target dose with acceptable partial PTV coverage accepting dose heterogeneity (26Gy_x%_Plan), both respecting OAR constraints. Dose-volume parameters and blinded expert preferences were evaluated.

resultsOf 22 patients assessed, 14 patients with 18 tumours met the inclusion criteria. Among these, 36 MRgoART plans for 12 tumours were analysed in Step 1. Reoptimisation using the target dose resulted in significantly higher mean tumour doses, improved dose gradients, and PTV coverage metrics compared to reoptimisation based on the planned dose. In Step 2, 54 plans were assessed. Although the 26Gy_x%_Plan demonstrated superior mean tumour and PTV dose, it exhibited lower conformity. Radiation oncologists preferred the 26Gy_x%_Plan in 48% of cases, following 26% deemed almost equal, indicating its clinical advantage.

conclusionFor kidney tumours adjacent to gastrointestinal OARs, MRgoART planning should favour reoptimisation based on the target dose. A high-dose strategy with partial PTV coverage (26Gy_x%_Plan) was generally preferred by radiation oncologists, balancing therapeutic effectiveness with OAR protection.

Indexed as

Kidney NeoplasmsMagnetic Resonance ImagingRadiosurgeryRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedAgedAged, 80 and overFemaleHumansMaleMiddle AgedOrgans at RiskRadiotherapy DosageRadiotherapy, Intensity-ModulatedAdaptive radiotherapyKidney tumourMR-guided online adaptive radiotherapyMR-LinacPlanning studyStereotactic radiosurgery

Identifiers

PMID40618162
PMCPMC12228998

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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.