Evidence map›Paper›PMID 40813674›Full record

ArticleRadiation oncology (London, England)2025

CBCT-based online adaptive radiotherapy of the bladder - geometrical and dosimetrical considerations compared to conventional IGRT.

Jann Fischer, Laura Anna Fischer, Jona Bensberg, Natalia Bojko, Mohamed Bouabdallaoui, Jasper Frohn, Petra Hüttenrauch, Mandy Klingebiel, Daniela Schmitt, Katharina Tegeler and 17 more

Abstract readComparative Study
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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

27 authors.

Jann FischerDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany. jann.fischer@med.uni-goettingen.de.
Laura Anna FischerDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Jona BensbergDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Natalia BojkoDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Mohamed BouabdallaouiDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Jasper FrohnDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Petra HüttenrauchDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Mandy KlingebielDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Daniela SchmittDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Katharina TegelerDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Daniela WagnerDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Alina WenzelDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Jessica MoldauerDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Niklas Christian ScheeleDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Hanne Elisabeth AmmonDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Stephanie BendrichDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Sandra DonathDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Leif Hendrik DrögeDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Manuel GuhlichDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Andrea HilleDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Olga KnausDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Martin LeuDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Jan OelmannDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Rami El ShafieDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.
Georg StammComprehensive Cancer Centre, University Medical Centre Göttingen, Göttingen, Germany.
Arndt F SchillingComprehensive Cancer Centre, University Medical Centre Göttingen, Göttingen, Germany.
Stefan RiekenDepartment of Radiotherapy and Radiation Oncology, University Medical Centre Göttingen, Göttingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBladder cancer radiotherapy presents unique challenges due to the dynamic anatomy of the bladder and the surrounding organs. Conventional image-guided radiotherapy (IGRT) relies on fixed treatment margins and daily couch corrections, which can result in suboptimal dose delivery. Cone Beam Computed Tomography (CBCT)-based online adaptive radiotherapy (oART) allows daily re-optimization of treatment plans, potentially improving target dose coverage while minimizing exposure to organs at risk (OAR). This study compares oART with IGRT in bladder cancer patients.

methods160 oART fractions delivered using the Ethos system (Varian Medical Systems, Palo Alto, CA, USA) were analyzed and compared to conventional IGRT. For each adaptive fraction (fx), three plans were evaluated: the scheduled plan (initial plan recalculated based on daily CBCT), the adapted plan (re-optimized to daily anatomy), and the verification plan (dose distribution recalculated on the verification CBCT - vCBCT). Geometric variations, dose-volume parameters and treatment times were analyzed. Clinical plan acceptability was assessed using predefined dose-volume parameters. Dose coverage on the target's surface was analyzed using a novel method and visualized via Mercator projections.

resultsDespite drinking guidelines, bladder volumes varied significantly day-to-day. Dose coverage of the clinical target volume (CTV) improved significantly with adaptation (median D

conclusionsTreatment times were approximately 1.5 times longer than IGRT; however, CBCT-based oART enhanced target dose coverage, reduced OAR doses, and decreased variability in both target and OAR doses compared to IGRT, while also improving plan acceptability, although the results should be interpreted with caution due to the limited sample size and single-center design.

trial registrationNot applicable.

Indexed as

Cone-Beam Computed TomographyRadiotherapy, Image-GuidedRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedUrinary Bladder NeoplasmsHumansOrgans at RiskRadiotherapy DosageUrinary BladderBladder cancerCBCTImage-guided radiotherapyMercator projectionOnline adaptive radiotherapyOrgans at riskTarget coverageTarget surface dose

Identifiers

PMID40813674
PMCPMC12351964

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Registered trials

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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.