Evidence map›Paper›PMID 41253687›Full record

Trial reportJournal of applied clinical medical physics2025

Prospective multi-institutional study of library-based adaptive radiotherapy for cervical cancer: Evaluation of plan-of-the-day selection and population analysis.

Delphine Lebret, Caroline Lafond, Julie Leseur, Anaïs Barateau, Diane Chan Sock Line, Karine Peignaux, Nathalie Mesgouez-Nebout, Magali Le Blanc-Onfroy, Chantal Hanzen, Nedjla Allouache and 4 more

Abstract readMulticenter StudyClinical Trial, Phase II
In one paragraph

Trial report 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Review
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

14 authors.

Delphine LebretUniversity of Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, Rennes, France.
Caroline LafondUniversity of Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, Rennes, France.
Julie LeseurDepartment of Radiation Oncology, CLCC Eugène Marquis, Rennes, France.
Anaïs BarateauUniversity of Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, Rennes, France.
Diane Chan Sock LineUniversity of Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, Rennes, France.
Karine PeignauxDepartment of Radiation Oncology, CLCC Georges-François Leclerc, Dijon, France.
Nathalie Mesgouez-NeboutInstitut de Cancérologie de l'Ouest, Angers, France.
Magali Le Blanc-OnfroyInstitut de Cancérologie de l'Ouest, Saint-Herblain, France.
Chantal HanzenCLCC Henri Becquerel, Rouen, France.
Nedjla AllouacheCLCC François Baclesse, Caen, France.
Sophie Renard-OldriniCentre Alexis Vautrin, Nancy, France.
Florence Le TinierCLCC Oscar Lambret, Lille, France.
Renaud De CrevoisierUniversity of Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, Rennes, France.
Antoine SimonUniversity of Rennes, CLCC Eugène Marquis, INSERM, LTSI - UMR 1099, Rennes, France.

Funding

French National Cancer Institute PHRC ARCOLFrench National Research Association ANR-11-LABX-0004
6 · The paper itself

Abstract

purposePlan-of-the-day (PoD) adaptive radiation therapy (ART) is based on a library of treatment plans, with 3D daily imaging guiding the plan selection. In a phase II multi-institutional trial of cone-beam CT (CBCT)-guided PoD-ART for locally advanced cervical carcinoma (LACC), this study aimed at evaluating the PoD selection, its geometric and dosimetric impact and characterizing a sub-population of patients associated with dosimetric improvement from ART. MATERIAL AND

methodsFor 49 cervical cancer patients, three planning CT scans [empty bladder (EB), intermediate bladder (IB) and full bladder (FB)] were acquired to generate a treatment plan library. A dose of 45 Gy was prescribed to the planning target volume in 25 fractions. Daily CBCT were acquired to visually select the best plan in the library (Manual-ART strategy). A deep learning model was used to segment daily clinical target volume (CTVt) and organs-at-risk (OAR). Manual-ART was compared to two strategies: (i) "Non-ART" strategy (IB-CT treatment plan only); (ii) PoD-ART strategy selecting the PoD maximizing CTVt coverage ("Cov-ART"). Geometrical and dosimetric coverages of daily CTVt and OAR were assessed. Decision trees were developed to predict the subpopulation of patients associated with dosimetric benefit from PoD-ART.

resultsThe agreement in PoD selection between Manual-ART and Cov-ART was 63.5%. Compared to the Non-ART strategy (D95%-CTV: 43.6 ± 4.1 Gy), PoD-ART significantly increased the dose to the target, with Manual-ART achieving 44.0 ± 3.0 Gy and Cov-ART with 44.1 ± 2.0 Gy. Decision trees using IB-CT plan and first two treatment fractions correctly classified 85.4% and 93.8% of patients as benefiting or not from PoD-ART.

conclusionsIn PoD-ART for LACC, selected treatment plans by the radiation oncologist had 63.5% concordance with treatment plans maximizing target coverage. PoD-ART increased dose to target, without compromising dose to OARs, with the largest benefit observed in a sub-population identifiable after two treatment fractions.

Indexed as

Cone-Beam Computed TomographyOrgans at RiskRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedUterine Cervical NeoplasmsDeep LearningFemaleHumansProspective StudiesRadiotherapy DosageRadiotherapy, Image-Guidedadaptative radiotherapyCBCT segmentationcervical cancerplan‐of‐the‐daytreatment plan library

Identifiers

PMID41253687
PMCPMC12626746

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.