Evidence map›Paper›PMID 42631117›Full record

ArticlePhysics and imaging in radiation oncology2026

Validation of automated script-based proton therapy optimisation for comparative head and neck planning.

Marte Kåstad Høiskar, Ulrik Vindelev Elstrøm, Peter Sandegaard Skyt, Kathrine Røe Redalen, Sigrun Saur Almberg

Abstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Marte Kåstad HøiskarDepartment of Physics, Norwegian University of Science and Technology, Trondheim, Norway.
Ulrik Vindelev ElstrømDanish Centre for Particle Therapy, Aarhus University Hospital, Denmark.
Peter Sandegaard SkytDanish Centre for Particle Therapy, Aarhus University Hospital, Denmark.
Kathrine Røe RedalenDepartment of Physics, Norwegian University of Science and Technology, Trondheim, Norway.
Sigrun Saur AlmbergDepartment of Radiotherapy, Cancer Clinic, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Proton and photon plan comparison is often the gateway to proton therapy for head and neck cancer (HNC). Manual planning is resource demanding, whereas automated planning may efficiently create consistent treatment plans. An automated rule-based intensity-modulated proton therapy (IMPT) plan optimisation script was developed within a commercial treatment planning system for comparative planning. This study benchmarked automated against clinical plans and evaluated whether a standard or patient-specific field set-up was necessary. Materials and methods: Twenty HNC patients previously treated with IMPT using manual plans were included. For each patient, two automated IMPT plans were generated, differing in field set-up: one with a standard five-field set-up and one matching the clinical field set-up. Robustness, dose distribution, and normal tissue complication probability (NTCP) for dysphagia and xerostomia were compared. Results: On average, automated IMPT plans were created in 64 min. Compared with clinical plans, both automated plan types, generally, reduced organ of interest mean doses, with median differences of up to 3.3 Gy (glottis). Automated plans also had lower median NTCP for dysphagia of 0.1%-points (interquartile range (IQR): -0.8-0.9) and 0.3%-points (IQR: 0.0-0.6) for standard and clinical field set-ups, respectively. For xerostomia, the corresponding results were 0.3%-points (IQR: 0.0-1.5) and 0.3%-points (IQR: 0.1-0.8), respectively. Conclusions: The IMPT plan optimisation script created plans with comparable robustness, dose distribution, and NTCP to clinical plans and is applicable for selecting HNC patients for IMPT. Additionally, a standard field set-up was adequate for comparative planning for most patients.

Indexed as

Automated optimisationComparative planningHead and neck cancerProton therapy

Identifiers

PMID42631117
PMCPMC13495582

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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.