Evidence map›Paper›PMID 38377378›Full record

ArticleJournal of applied clinical medical physics2024

Technical feasibility of novel immunostimulatory low-dose radiation for polymetastatic disease with CBCT-based online adaptive and conventional approaches.

Nour Nasser, Bradford A Perez, Jose A Penagaricano, Jimmy J Caudell, Daniel E Oliver, Kujtim Latifi, Eduardo G Moros, Gage Redler

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

8 authors.

Nour NasserDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
Bradford A PerezDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
Jose A PenagaricanoDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
Jimmy J CaudellDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
Daniel E OliverDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
Kujtim LatifiDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
Eduardo G MorosDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, USA.
Gage RedlerDepartment of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeA workflow/planning strategy delivering low-dose radiation therapy (LDRT) (1 Gy) to all polymetastatic diseases using conventional planning/delivery (Raystation/Halcyon = "conventional") and the AI-based Ethos online adaptive RT (oART) platform is developed/evaluated.

methodsUsing retrospective data for ten polymetastatic non-small cell lung cancer patients (5-52 lesions each) with PET/CTs, gross tumor volumes (GTVs) were delineated using PET standardized-uptake-value (SUV) thresholding. A 1 cm uniform expansion of GTVs to account for setup/contour uncertainty and organ motion-generated planning target volumes (PTVs). Dose optimization/calculation used the diagnostic CT from PET/CT. Dosimetric objectives were: D

resultsAll initial plans generated, both for Raystation and Ethos, achieved clinical goals within acceptable variation. For all patients, D

conclusionsThis study demonstrates feasibility of conventional planning/treatment with Raystation/Halcyon and highlights efficiency gains when utilizing semi-automated planning/online-adaptive treatment with Ethos for immunostimulatory LDRT conformally delivered to all sites of polymetastatic disease.

Indexed as

Carcinoma, Non-Small-Cell LungCone-Beam Computed TomographyFeasibility StudiesLung NeoplasmsOrgans at RiskPositron Emission Tomography Computed TomographyRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedHumansImage Processing, Computer-AssistedMalePrognosisRadiotherapy, Image-GuidedRetrospective Studiesadaptive therapydevelopment (new technology and techniques)treatment planning/virtual clinical studies

Identifiers

PMID38377378
PMCPMC11163490

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.