Evidence map›Paper›PMID 36920871›Full record

ArticleJournal of applied clinical medical physics2023

A roadmap for implementation of kV-CBCT online adaptive radiation therapy and initial first year experiences.

Dennis N Stanley, Joseph Harms, Joel A Pogue, Jean-Guy Belliveau, Samuel R Marcrom, Andrew M McDonald, Michael C Dobelbower, Drexell H Boggs, Michael H Soike, John A Fiveash and 2 more

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

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  4. Dosimetric impact of daily skin surface variations in kidney stereotactic ablative proton therapy.Technical innovations & patient support in radiation oncology · 2026
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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.

Dennis N StanleyDepartment of Radiation Oncology, University of Alabama, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0003-4792-748X
Joseph HarmsDepartment of Radiation Oncology, University of Alabama, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0003-2441-9853
Joel A PogueDepartment of Radiation Oncology, University of Alabama, Birmingham, Alabama, USA.
Jean-Guy BelliveauDepartment of Radiation Oncology, University of Alabama, Birmingham, Alabama, USA.
Samuel R MarcromDepartment of Radiation Oncology, University of Alabama, Birmingham, Alabama, USA.
Andrew M McDonaldDepartment of Radiation Oncology, University of Alabama, Birmingham, Alabama, USA.
Michael C DobelbowerDepartment of Radiation Oncology, University of Alabama, Birmingham, Alabama, USA.
Drexell H BoggsDepartment of Radiation Oncology, University of Alabama, Birmingham, Alabama, USA.
Michael H SoikeDepartment of Radiation Oncology, University of Alabama, Birmingham, Alabama, USA.
John A FiveashDepartment of Radiation Oncology, University of Alabama, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0002-1129-2884
Richard A PoppleDepartment of Radiation Oncology, University of Alabama, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0003-1252-738X
Carlos E CardenasDepartment of Radiation Oncology, University of Alabama, Birmingham, Alabama, USA.

Funding

NCI NIH HHS L30 CA284339
6 · The paper itself

Abstract

purposeOnline Adaptive Radiation Therapy (oART) follows a different treatment paradigm than conventional radiotherapy, and because of this, the resources, implementation, and workflows needed are unique. The purpose of this report is to outline our institution's experience establishing, organizing, and implementing an oART program using the Ethos therapy system.

methodsWe include resources used, operational models utilized, program creation timelines, and our institutional experiences with the implementation and operation of an oART program. Additionally, we provide a detailed summary of our first year's clinical experience where we delivered over 1000 daily adaptive fractions. For all treatments, the different stages of online adaption, primary patient set-up, initial kV-CBCT acquisition, contouring review and edit of influencer structures, target review and edits, plan evaluation and selection, Mobius3D 2nd check and adaptive QA, 2nd kV-CBCT for positional verification, treatment delivery, and patient leaving the room, were analyzed.

resultsWe retrospectively analyzed data from 97 patients treated from August 2021-August 2022. One thousand six hundred seventy seven individual fractions were treated and analyzed, 632(38%) were non-adaptive and 1045(62%) were adaptive. Seventy four of the 97 patients (76%) were treated with standard fractionation and 23 (24%) received stereotactic treatments. For the adaptive treatments, the generated adaptive plan was selected in 92% of treatments. On average(±std), adaptive sessions took 34.52 ± 11.42 min from start to finish. The entire adaptive process (from start of contour generation to verification CBCT), performed by the physicist (and physician on select days), was 19.84 ± 8.21 min.

conclusionWe present our institution's experience commissioning an oART program using the Ethos therapy system. It took us 12 months from project inception to the treatment of our first patient and 12 months to treat 1000 adaptive fractions. Retrospective analysis of delivered fractions showed that the average overall treatment time was approximately 35 min and the average time for the adaptive component of treatment was approximately 20 min.

Indexed as

Radiotherapy Planning, Computer-AssistedSpiral Cone-Beam Computed TomographyDose Fractionation, RadiationHumansRadiotherapy DosageRetrospective StudiescommissioningEthosonline adaptive radiation therapyprocess mappingworkflow analysis

Identifiers

PMID36920871
PMCPMC10338842

What OpenQuestion holds

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LicenceCC BY
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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.