Poster Poster Program Therapy Physics

Automated Breast Planning In Eclipse

Abstract
Purpose

To demonstrate and evaluate open-source software for Varian Eclipse TPS to accelerate contouring and planning of breast tangent plans. Eclipse Breast Radiotherapy Auto-planner (Eclipse BRAP) enables production of a quality breast plan within minutes.

Methods

Professionally developed in C# using the scripting Eclipse scripting API, BRAP is a configurable plugin which is 100% data-backed in Eclipse with no exports or complex installation. Optimization utilizes the Varian Photon Optimizer to generate both sliding window and field-in-field (FinF) plans. Features include: GUI to accelerate contouring for field placement Automated extension of fluence for flash Automated field setup, energy selection, and field balancing Rapid queuing, iteration and review of plans Accurate and configurable field-in-field leaf motion calculator (LMC) A retrospective study was done using 150 BRAP-generated plans to evaluate plan quality and LMC accuracy. Clinical goals for coverage, hotspots, and OARs were evaluated on sliding window (SW) plans. BRAP generated fluences were then converted to FinF fields via fluence thresholding and tree-search based aperture optimization. Planning metrics compared between FinF and SW plans to assess performance of the LMC.

Results

All 150 BRAP SW plans satisfied clinical goals for whole-breast coverage [V95%>95%], hotspot control [V105%<5%, Dmax<107%] and OARs. Monitor units for FinF plans were 40 +/- 8% lower. DMax increased 0.5 +/- 0.8%. hotspots were well controlled with V105% constant at 0%+/- 4%. FinF coverage was unchanged over SW at 0+/- 1%. All FinF plans, after minor normalization, passed clinical goals and had largely identical DVH to SW plans.

Conclusion

Eclipse BRAP is an open-source Eclipse plugin that can produce a tangent plan in minutes. Plans are of high quality, passing all clinical goals. FinF LMC was able reproduce SW doses, with minor degradation of coverage and hotspot volume that could be overcome with slight plan normalization.

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