Evidence map›Paper›PMID 40714933›Full record

ArticleJournal of applied clinical medical physics2025

Adaptive-driven CT simulation-free multi-fraction SBRT radiotherapy: Initial clinical experience.

V N Malkov, B J Kemp, A Ferrero, L Buchholtz, S S Park, J A Kavanaugh

Abstract read
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Article in Journal of applied clinical medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

6 authors.

V N MalkovDepartment of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA.
B J KempDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
A FerreroDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
L BuchholtzDepartment of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA.
S S ParkDepartment of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA.
J A KavanaughDepartment of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA.ORCID https://orcid.org/0000-0001-6001-914X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionUsing diagnostic CT for radiotherapy (RT) planning can bypass traditional CT simulation but introduces challenges in patient positioning and Hounsfield unit (HU) fidelity, affecting dose accuracy. Here a Varian Ethos adaptive-driven CT direct-to-treatment (DtT) multi-fraction stereotactic body radiation therapy (SBRT) workflow is presented.

methodsThis study employed institutional diagnostic PET-CT images to generate an initial reference Ethos treatment plan. HU and dosimetric accuracy were validated for PET-CT, Ethos CBCT images (with and without Hypersight (HS), and the gold-standard helical CT simulators). Following the SBRT reference plan creation on the low dose diagnostic PET-CT, the first fraction was delivered with a newly generated adaptive plan calculated on the HS CBCT (Ethos) images. For multi-fraction treatments, the first day CBCT images and adaptive plan become the reference for subsequent IGRT treatments. This study includes workflow validation and initial three patient experience.

resultsThe DtT adaptive SBRT workflow was successfully implemented, with initial end-to-end testing demonstrating feasibility. In-house solutions were introduced to facilitate the adaptive to IGRT plan conversion. The Ethos system, especially with HS, maintained HU fidelity and dose calculation accuracy comparable to helical CTs. On-table adaptive sessions were within 37-51 min, aligning with single-fraction palliative studies. Subsequent non-adaptive IGRT fractions were efficiently completed within 7-27 min.

conclusionsThis study demonstrates the feasibility of DtT adaptive-driven multifraction SBRT using diagnostic PET-CT. This approach reduces the need for on-site patient presence prior to treatment, expands planning lead times, and improves overall efficiency in radiotherapy for well selected patients.

Indexed as

Cone-Beam Computed TomographyImage Processing, Computer-AssistedLung NeoplasmsNeoplasmsPositron Emission Tomography Computed TomographyRadiosurgeryRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedHumansMaleOrgans at RiskRadiotherapy DosageRadiotherapy, Intensity-ModulatedWorkflowadaptivecomputed tomography (CT)ethoshypersightsimulation free

Identifiers

PMID40714933
PMCPMC12301080

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.