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Automatic treatment planning for VMAT-based total body irradiation using Eclipse scripting.

Jose R Teruel1, Sameer Taneja1, Paulina E Galavis1

  • 1Department of Radiation Oncology, NYU Langone Health, New York, NY, USA.

Journal of Applied Clinical Medical Physics
|February 10, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces an automated scripting approach for multiple isocenter volumetric arc therapy (VMAT)-based total body irradiation (TBI) planning. The automated method ensures high-quality treatment plans and significantly reduces planning time.

Keywords:
advanced treatment planningeclipse scriptingplan automationspecial procedurestotal body irradiation (TBI)

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Radiotherapy Planning

Background:

  • Total body irradiation (TBI) is a critical component of various cancer treatments, often requiring complex planning.
  • Current TBI planning can be time-consuming and prone to variability.
  • Automated solutions are needed to improve efficiency and consistency in TBI delivery.

Purpose of the Study:

  • To develop and validate an automated, script-based approach for multiple isocenter volumetric arc therapy (VMAT)-based TBI treatment planning.
  • To standardize the TBI planning process using scripting for improved efficiency and plan quality.
  • To assess the dosimetric outcomes and accuracy of the automated VMAT-TBI plans.

Main Methods:

  • A Varian Eclipse v15.6 Scripting API was utilized to automate TBI plan generation.
  • Two distinct plans were generated: a head-first VMAT plan for the upper body and a feet-first AP/PA plan for the lower extremities.
  • Plans were created for two dose levels (1200 cGy and 1320 cGy) and validated using an anthropomorphic phantom with OSLDs.

Main Results:

  • The automated approach successfully generated high-quality TBI plans meeting predefined dose objectives.
  • Median PTV V100% ranged from 94.5% to 95.0%, and PTV D98% ranged from 88.7% to 89.9%.
  • In-vivo dose verification in a phantom showed a dose deviation within ±4% of the planned dose.

Conclusions:

  • Scripting provides an effective method for automating and standardizing multiple isocenter VMAT-based TBI planning.
  • This automated approach significantly reduces treatment planning time while maintaining plan quality.
  • The developed method holds promise for improving the efficiency and accuracy of TBI delivery in clinical practice.