Evidence map›Paper›PMID 42547907›Full record

ArticleJournal of applied clinical medical physics2026

Initial experience of clinical implementation of an Online Simulation-free CBCT-based Adaptive Radiotherapy (OSCAR) workflow for palliative and urgent treatment indications.

Robert Schindhelm, Anne Richter, Philip Kleine, Jörg Tamihardja, Victor Lewitzki, Bülent Polat, Marcus Zimmermann, Frederick Mantel, Thomas Fischer, Sebastian Heß and 5 more

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

15 authors.

Robert SchindhelmDepartment of Radiotherapy and Radiation Oncology, University Hospital Würzburg, Würzburg, Germany.
Anne RichterDepartment of Radiotherapy and Radiation Oncology, University Hospital Würzburg, Würzburg, Germany.
Philip KleineDepartment of Radiotherapy and Radiation Oncology, University Hospital Würzburg, Würzburg, Germany.
Jörg TamihardjaDepartment of Radiotherapy and Radiation Oncology, University Hospital Würzburg, Würzburg, Germany.ORCID https://orcid.org/0000-0002-6995-3956
Victor LewitzkiDepartment of Radiotherapy and Radiation Oncology, University Hospital Würzburg, Würzburg, Germany.
Bülent PolatDepartment of Radiotherapy and Radiation Oncology, University Hospital Würzburg, Würzburg, Germany.
Marcus ZimmermannDepartment of Radiotherapy and Radiation Oncology, University Hospital Würzburg, Würzburg, Germany.
Frederick MantelDepartment of Radiotherapy and Radiation Oncology, University Hospital Würzburg, Würzburg, Germany.
Thomas FischerDepartment of Radiotherapy and Radiation Oncology, University Hospital Würzburg, Würzburg, Germany.
Sebastian HeßDepartment of Radiotherapy and Radiation Oncology, University Hospital Würzburg, Würzburg, Germany.
Ingulf LawrenzDepartment of Radiotherapy and Radiation Oncology, University Hospital Würzburg, Würzburg, Germany.
Franziska KünzigDepartment of Radiotherapy and Radiation Oncology, University Hospital Würzburg, Würzburg, Germany.
Felix SchillingDepartment of Radiotherapy and Radiation Oncology, University Hospital Würzburg, Würzburg, Germany.
Andrea Wittig-SauerweinDepartment of Radiotherapy and Radiation Oncology, University Hospital Würzburg, Würzburg, Germany.
Gary RazinskasDepartment of Radiotherapy and Radiation Oncology, University Hospital Würzburg, Würzburg, Germany.ORCID https://orcid.org/0000-0003-0221-972X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe current standard radiotherapy treatment planning workflow typically requires several hours to days, during which patients must wait before treatment can be initiated. In certain oncological situations, however, treatment should commence as soon as possible. This is particularly critical in oncological emergencies to prevent further complications, as well as in palliative treatment indications where rapid symptom relief is essential. PURPOSE: In this study, we report our initial clinical experience with the online simulation-free CBCT-based adaptive radiotherapy (OSCAR) workflow, focusing on feasibility, workflow timing, and dosimetric plan quality.

methodsSeven anatomical regions were predefined for rapid treatment initiation using standardized RT intent templates in Ethos (Varian Medical Systems) with HyperSight CBCT. The OSCAR workflow was implemented including institutional safety strategies and alternative workflows where necessary. For the first patients treated with OSCAR, workflow timing was assessed, post-adaptive treatment strategies were documented, and Ethos on-couch IMRT plans were compared dosimetrically to corresponding IGRT VMAT plans generated in Eclipse on the HyperSight CBCT.

resultsThe OSCAR workflow was successfully established for the first 11 patients requiring rapid initiation of radiotherapy. The average total time required to initiate treatment was approximately 1 h and 50 min, while the adaptive treatment fraction (including patient setup, online adaptation, and irradiation) required approximately 20 min. The dosimetric comparison between static gantry IMRT and VMAT plans demonstrated that both techniques met clinical acceptance criteria for target coverage and OAR sparing.

conclusionsThe OSCAR workflow presented here enables rapid and clinically feasible treatment initiation without the need for a dedicated planning CT by combining standardized RT intent templates with HyperSight-CBCT-based online adaptation. While evaluated in a limited initial cohort and heterogeneous indications, the workflow demonstrated practicability and clinically acceptable plan quality. Future studies should evaluate scalability to additional disease sites and fractionation schemes, including ultra-hypofractionated regimens.

Indexed as

Cone-Beam Computed TomographyNeoplasmsPalliative CareRadiotherapy, Image-GuidedRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedWorkflowHumansOrgans at RiskRadiotherapy Dosagecone‐beam CTEthosonline‐adaptive radiotherapysimulation‐free workflow

Identifiers

PMID42547907
PMCPMC13433485

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.