Evidence map›Paper›PMID 39868634›Full record

ArticleJournal of applied clinical medical physics2025

Modeling dosimetric benefits from daily adaptive RT for gynecological cancer patients with and without knowledge-based dose prediction.

Rupesh Ghimire, Lance Moore, Daniela Branco, Dominique L Rash, Jyoti S Mayadev, Xenia Ray

Abstract read
In one paragraph

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.

  1. First dosimetric evaluation of deformable dose accumulation in human individuals.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2026
    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

6 authors.

Rupesh GhimireDepartment of Radiation Medicine and Applied Sciences, UC San Diego Health, La Jolla, California, USA.
Lance MooreDepartment of Radiation Medicine and Applied Sciences, UC San Diego Health, La Jolla, California, USA.
Daniela BrancoDepartment of Radiation Medicine and Applied Sciences, UC San Diego Health, La Jolla, California, USA.
Dominique L RashDepartment of Radiation Medicine and Applied Sciences, UC San Diego Health, La Jolla, California, USA.
Jyoti S MayadevDepartment of Radiation Medicine and Applied Sciences, UC San Diego Health, La Jolla, California, USA.
Xenia RayDepartment of Radiation Medicine and Applied Sciences, UC San Diego Health, La Jolla, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDaily online adaptive radiotherapy (ART) improves dose metrics for gynecological cancer patients, but the on-treatment process is resource-intensive requiring longer appointments and additional time from the entire adaptive team. To optimize resource allocation, we propose a model to identify high-priority patients.

methodsFor 49 retrospective cervical and endometrial cancer patients, we calculated two initial plans: the treated standard-of-care (Initial

resultsIn both

conclusionThis methodology will allow clinics to prioritize patients for resource-intensive daily online ART.

Indexed as

Endometrial NeoplasmsGenital Neoplasms, FemaleRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedUterine Cervical NeoplasmsAlgorithmsCone-Beam Computed TomographyFemaleHumansOrgans at RiskRadiometryRadiotherapy DosageRetrospective Studiesadaptive radiotherapycervical cancercone‐beam CTdosimetryIGRTtarget margins

Identifiers

PMID39868634
PMCPMC11905257

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.