Evidence map›Paper›PMID 41699859›Full record

ArticleJournal of applied clinical medical physics2026

In-Silico Trial of Same-Day Simulation-Free Spatially Fractionated Adaptive Radiotherapy (SF

Dennis N Stanley, Alyssa R Birchmeier, Carlos E Cardenas, Richard A Popple, Natalie Viscariello, Joel A Pogue, Courtney B Stanley, Mehran Yusuf, Michael Soike, Samuel R Marcrom and 1 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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Dennis N StanleyDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0003-4792-748X
Alyssa R BirchmeierDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0009-0006-6330-7378
Carlos E CardenasDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0003-1414-3849
Richard A PoppleDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0003-1252-738X
Natalie ViscarielloDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0003-0795-0693
Joel A PogueDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0003-4450-6698
Courtney B StanleyDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0003-2767-9511
Mehran YusufDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0003-3011-356X
Michael SoikeDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0002-8444-3241
Samuel R MarcromDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0002-4014-3781
Joseph HarmsDepartment of Radiation Oncology, University of Alabama at Birmingham, Birmingham, Alabama, USA.ORCID https://orcid.org/0000-0003-2441-9853

Funding

National Institutes of Health/National Cancer Institute award L30CA284339National Institutions of Health/National Cancer Institute award LRP0000018407NCATS NIH HHS 5KL2TR003097-05
6 · The paper itself

Abstract

purposeHere we present an in-silico trial of the feasibility and deliverability of a same-day, simulation-free workflow for spatially fractionated adaptive radiotherapy (SF METHODS AND MATERIALS: Ten patients (five thoracic and five extremity), previously treated with spatially fractionated radiotherapy (SFRT), were selected for this in silico trial. A two-phase regimen was simulated: Phase 1 delivered 12 Gy SBRT to a uniform, predefined high-dose lattice and 4 Gy to the gross tumor volume (GTV); Phase 2 consisted of 4 additional fractions of 4 Gy to the GTV. The planning workflow was performed entirely in silico, without the need for CT simulation. High-dose sphere matrices were generated with a custom script and aligned to physician-defined GTVs. Adaptive plans were created based on CBCT anatomy and evaluated for dosimetric quality, deliverability, and workflow timing. Comparisons were made to the original clinically delivered plans. Mobius3D was used for secondary dose verification.

resultsAll 10 cases were successfully replanned using the SF

conclusionsThis in-silico study demonstrates the feasibility of delivering spatially fractionated SBRT without simulation CT using a same-day adaptive workflow. The SF

Indexed as

Computer SimulationRadiotherapy Planning, Computer-AssistedCone-Beam Computed TomographyDose Fractionation, RadiationFeasibility StudiesHumansOrgans at RiskPrognosisRadiotherapy DosageRadiotherapy, Intensity-ModulatedWorkflowCT Guided Adaptive RT (CTgART)Online Adaptive RTSimulation FreeSpatially FractionatedVirtual Clinical Study

Identifiers

PMID41699859
PMCPMC12909600

What OpenQuestion holds

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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.