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Knowledge-based DVH estimation and optimization for breast VMAT plans with and without avoidance sectors.

Antonella Fogliata1, Sara Parabicoli2, Lucia Paganini2

  • 1Radiotherapy and Radiosurgery Department, Humanitas Research Hospital IRCCS, Milan-Rozzano, Italy. antonella.fogliata@humanitas.it.

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Summary
This summary is machine-generated.

RapidPlan models accurately estimate organ at risk DVHs for breast cancer VMAT plans. Careful selection of plans, especially those with avoidance sectors, is crucial for accurate model training and DVH estimation.

Keywords:
Avoidance sectorBreastDVH estimation modelKnowledge-based planningRapidPlanVMAT

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Area of Science:

  • Medical Physics
  • Radiation Oncology

Background:

  • Knowledge-based treatment planning systems, like RapidPlan, are used for VMAT in breast cancer.
  • Avoidance sectors (AS) are a feature imposed during optimization to minimize dose to organs at risk.

Purpose of the Study:

  • To analyze RapidPlan models for DVH estimation in breast cancer VMAT plans with avoidance sectors.
  • To evaluate the impact of avoidance sectors on DVH prediction accuracy.

Main Methods:

  • Two VMAT plan types (PartArc and AvoidArc) were generated for 20 left breast cancer patients.
  • Two RapidPlan models were created from these plans and evaluated in a closed loop.
  • Model performance was assessed with and without avoidance sectors during optimization.

Main Results:

  • The PartArc model accurately estimated DVHs. The AvoidArc model showed discrepancies when avoidance sectors were not included in training.
  • Inaccurate DVH estimations for contralateral structures were observed when the AvoidArc model was trained without AS.
  • When AS were included in training and optimization, the AvoidArc model provided comparable DVH estimations.

Conclusions:

  • RapidPlan models can accurately estimate organ at risk DVHs for VMAT breast cancer planning.
  • Proper plan selection and usage for model training are essential, particularly when incorporating avoidance sectors.