Evidence map›Paper›PMID 38463219›Full record

ArticlePhysics and imaging in radiation oncology2024

Impact of daily plan adaptation on accumulated doses in ultra-hypofractionated magnetic resonance-guided radiation therapy of prostate cancer.

Yuqing Xiong, Moritz Rabe, Carolin Rippke, Maria Kawula, Lukas Nierer, Sebastian Klüter, Claus Belka, Maximilian Niyazi, Juliane Hörner-Rieber, Stefanie Corradini and 2 more

Abstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

12 authors.

Yuqing XiongDepartment of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
Moritz RabeDepartment of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
Carolin RippkeDepartment of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.
Maria KawulaDepartment of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
Lukas NiererDepartment of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
Sebastian KlüterDepartment of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.
Claus BelkaDepartment of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
Maximilian NiyaziDepartment of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
Juliane Hörner-RieberDepartment of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.
Stefanie CorradiniDepartment of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
Guillaume LandryDepartment of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
Christopher KurzDepartment of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Ultra-hypofractionated online adaptive magnetic resonance-guided radiotherapy (MRgRT) is promising for prostate cancer. However, the impact of online adaptation on target coverage and organ-at-risk (OAR) sparing at the level of accumulated dose has not yet been reported. Using deformable image registration (DIR)-based accumulation, we compared the delivered adapted dose with the simulated non-adapted dose. Materials and methods: Twenty-three prostate cancer patients treated at two clinics with 0.35 T magnetic resonance-guided linear accelerator (MR-linac) following the same treatment protocol (5 Results: Normalized to the baseline, the accumulated PTV* Conclusions: Online adaptation in MRgRT improved target coverage and OARs sparing at the level of accumulated dose.

Indexed as

Dose accumulationMRgRTOnline plan adaptationProstateUltra-hypofractionation

Identifiers

PMID38463219
PMCPMC10924058

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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.