Evidence map›Paper›PMID 42135272›Full record

ReviewJournal of applied clinical medical physics2026

Best Practice: CT-guided Adaptive Radiotherapy Reference Planning on the Ethos Platform.

Xenia Ray, Joseph Harms, Alex Price, Mu-Han Lin, Dennis N Stanley

Abstract readReview
In one paragraph

Review 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.

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

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

5 authors.

Xenia RayDepartment of Radiation Medicine and Applied Sciences, Moores Cancer Center, University of California San Diego, San Diego, California, USA.ORCID https://orcid.org/0000-0003-0150-0843
Joseph HarmsDepartment of Radiation Oncology, Washington University School of Medicine, St Louis, Missouri, USA.ORCID https://orcid.org/0000-0003-2441-9853
Alex PriceDepartment of Radiation Oncology, University Hospitals Seidman Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0002-9054-6474
Mu-Han LinDepartment of Radiation Oncology, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0002-7992-5465
Dennis N StanleyDepartment of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0003-4792-748X

Funding

NIH HHS
6 · The paper itself

Abstract

Online adaptive radiotherapy (ART) enables treatment plan modifications based on the patient's anatomy at each fraction, addressing limitations of conventional radiotherapy that relies on a static pre-treatment plan. CT-guided ART (CTgART), as implemented on the Varian Ethos platform, has gained increased clinical adoption over the past several years; however, its success is highly dependent on reference plan design due to limited on-table planning flexibility. As a result, clinicians creating and reviewing reference plans will greatly benefit from both understanding how upstream planning decisions affect the downstream adaptive process and proactively incorporating strategies that improve optimization robustness and efficiency on-treatment. We describe a planning framework that emphasizes integration of standard planning while incorporating the temporal workflow considerations. We term this new planning paradigm: Thinking in 4D. In this article, we provide practical recommendations and strategies, gained from high-volume clinical experience adapting hundreds of cases across multiple institutions, to guide the design of robust Ethos reference planning templates. These recommendations are based on accumulated clinical experience and are intended to complement, rather than replace, formal quantitative validation studies. These principles aim to improve adaptive plan quality, efficiency, and safety, while also supporting implementation, training, and routine plan checks for teams transitioning to planning in 4D.

Indexed as

NeoplasmsPractice Guidelines as TopicQuality Assurance, Health CareRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedTomography, X-Ray ComputedHumansImage Processing, Computer-AssistedOrgans at RiskRadiotherapy DosageRadiotherapy, Intensity-ModulatedCT‐guided ARTonline adaptive radiotherapytreatment planning

Identifiers

PMID42135272
PMCPMC13175920

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.