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Related Experiment Video

Updated: Apr 28, 2026

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
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Technical Note: An Eclipse Scripting Application Programming Interface-based Tool for Automated Structure

Deepak Mahor1, Vinay Saini1

  • 1Department of Radiation Oncology, Homi Bhabha Cancer Hospital and Mahamana Pandit Madan Mohan Malviya Cancer Centre, Tata Memorial Centre, Homi Bhabha National Institute, Varanasi, Uttar Pradesh, India.

Journal of Medical Physics
|April 27, 2026
PubMed
Summary
This summary is machine-generated.

Automating structure duplication and cropping in Eclipse treatment planning (TPS) using Eclipse Scripting Application Programming Interface (ESAPI) significantly reduces time and minimizes errors. This script streamlines workflows for improved accuracy in radiation therapy planning.

Keywords:
C#EclipseEclipse scripting application programming interfaceVarian’s T-BOXVarian’s treatment planning systemVisual Studio IDEWindows Presentation Foundation

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Software Engineering

Background:

  • Inverse treatment planning in radiation oncology involves routine but time-consuming tasks like structure duplication and margin-based cropping.
  • Manual execution of these tasks in the Eclipse treatment planning system (TPS) is susceptible to errors, including overwriting and inconsistent margins.

Purpose of the Study:

  • To develop and present an automated workflow for structure duplication and margin-based cropping within the Eclipse TPS.
  • To enhance efficiency and accuracy in inverse treatment planning by minimizing manual intervention.

Main Methods:

  • Development of an in-house script utilizing the Eclipse Scripting Application Programming Interface (ESAPI) version 15.5.
  • Implementation using Microsoft Visual Studio 2019 and C# programming language, with a graphical user interface built using Windows Presentation Foundation.
  • Testing and validation within the clinical workflow on Varian's T-BOX.

Main Results:

  • Significant reduction in cropping time from several minutes to seconds.
  • Elimination of common user errors such as incorrect cropping or accidental overwriting.
  • Negligible variation (≤0.95%) in structure volumes between manual and scripted methods, ensuring clinical acceptability.

Conclusions:

  • The developed ESAPI-based tool offers a practical solution for automating structure duplication and cropping in Eclipse TPS.
  • The implementation demonstrates substantial time savings and improved accuracy, effectively reducing manual steps and minimizing error risks in radiation therapy planning.