Evidence map›Paper›PMID 41737863›Full record

ArticleInternational journal of particle therapy2026

Defining a Quantitative Threshold for Adaptive Re-planning using a Percentile-based Scoring System.

Alexandra O Leone, Christine B Peterson, Anna Lee, Adam S Garden, G Brandon Gunn, Lauren L Mayo, Amy C Moreno, Steven J Frank, C David Fuller, Jay P Reddy and 6 more

Abstract read
In one paragraph

Article in International journal of particle therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Alexandra O LeoneDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Christine B PetersonDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Anna LeeDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Adam S GardenDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
G Brandon GunnDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Lauren L MayoDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Amy C MorenoDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Steven J FrankDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
C David FullerDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jay P ReddyDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Karen HoffmanDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ivan VazquezDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Ming YangDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Joshua S NiedzielskiDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Laurence E CourtDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Thomas J WhitakerDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the frequent need for adaptive planning in head and neck proton therapy, no quantitative indicators have been identified to determine when a plan should be adapted. Here, we aimed to determine a quantitative threshold for the change in plan quality between the primary treatment plan and verification plans that correlates with the physician's decision to adapt. Methods: Primary treatment and verification plans were extracted from the clinical treatment planning system for 167 patients who underwent intensity-modulated proton therapy for base of tongue, tonsillar, or oropharyngeal cancers, with and without nodal involvement, between 2016 and 2021. All plans were graded using a previously validated percentile-based Daisy scoring system, and differences between the primary plan and its corresponding verification plans were calculated. Two generalized linear mixed models (GLMM) were created using the difference in plan scores and the primary plan score to predict the probability of a plan being adapted. Additionally, five radiation oncologists evaluated 65 verification plans using a 3-point Likert scale (1="Adaptive Planning Necessary", 2="Consider Adapting", and 3="Acceptable"). Wilcoxon rank sum analysis was used to determine statistical significance between the score differences in each category. Results: The GLMM results demonstrated a significant relationship between score differences and the need for adaptive planning ( Conclusions: A percentile-based Daisy scoring system can be used to identify a threshold at which a change in plan score between primary and verification plans indicates that an adaptive plan is necessary.

Indexed as

Adaptive Proton TherapyOffline Adaptive RadiotherapyPlan Quality Assessment

Identifiers

PMID41737863
PMCPMC12927274

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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.