Evidence map›Paper›PMID 40350765›Full record

ArticleJournal of applied clinical medical physics2025

Automated rapidplan model validation using Eclipse scripting API.

Bradley Beeksma, Andrew Dipuglia, Joerg Lehmann

Abstract readValidation Study
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 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
  3. Automated rapidplan model validation using Eclipse scripting API.Journal of applied clinical medical physics · 2025
    Article
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

3 authors.

Bradley BeeksmaDepartment of Radiation Oncology, Calvary Mater Newcastle, Warratah, New South Wales, Australia.ORCID https://orcid.org/0009-0000-3652-7339
Andrew DipugliaDepartment of Radiation Oncology, Calvary Mater Newcastle, Warratah, New South Wales, Australia.
Joerg LehmannDepartment of Radiation Oncology, Calvary Mater Newcastle, Warratah, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RapidPlan offers efficiency gains and quality improvements in treatment planning. Prior to its use in the clinic, it requires an extensive validation procedure in which established clinical plans and those generated by the model are compared. The manual iterative nature of this process is resource intensive, as numerous iterations are required to fine-tune and optimize a RapidPlan model. To streamline the efficiency and reduce the resource burden of RapidPlan model validation, a standalone executable auto planning script was written in C# leveraging the Eclipse scripting application programming interface (ESAPI). The script automatically batch generates treatment plans, as well as exports and plots the population-based DVH metrics of these plans, without any user input, reducing the time and effort required to explore and refine model objectives. Configured with adjustable parameters via Excel and .txt files, this approach allows end users to change input variables quickly and easily without needing to re-approve the script. The script has been implemented for a variety of treatment sites, including intact prostate, prostate & nodes, lung, rectum, unilateral head & neck, bilateral head & neck, and liver stereotactic body radiation therapy (SBRT). The process for liver SBRT has been used here as an example to illustrate the use and power of the script. Over numerous iterations, 76 patients in the model set and 17 patients in a validation set were replanned using the script, creating a total of 405 automatic plans with an overall active planning time of 118.7 h. This study demonstrates the effectiveness of automating the RapidPlan model validation process, significantly reducing the time and resource burden associated with traditional manual methods.

Indexed as

NeoplasmsRadiotherapy Planning, Computer-AssistedSoftwareAlgorithmsHead and Neck NeoplasmsHumansLiver NeoplasmsLung NeoplasmsMaleOrgans at RiskProstatic NeoplasmsRadiosurgeryRadiotherapy DosageRadiotherapy, Intensity-ModulatedESAPIradiotherapy treatment planning automationRapidPlanscripting

Identifiers

PMID40350765
PMCPMC12256677

What OpenQuestion holds

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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 OpenQuestion graph.