Validation of the RayStation Monte Carlo dose calculation algorithm using realistic animal tissue phantoms

Area of Science:

• Medical Physics
• Radiation Oncology
• Dosimetry

Background:

• Accurate dose calculation is crucial for effective radiation therapy.
• The RayStation Monte Carlo (MC) algorithm is a sophisticated tool for dose calculation.
• Validation using heterogeneous phantoms is essential for clinical implementation.

Purpose of the Study:

• To validate the RayStation MC dose algorithm.
• To compare MC algorithm performance against analytical pencil beam (APB) algorithms.
• To assess accuracy in anthropomorphic animal neck and water breast phantoms.

Main Methods:

• Utilized three anthropomorphic phantoms: two animal neck and one water breast phantom.
• CT scanned phantoms and performed dose measurements using the MatriXX PT device.
• Compared measured doses with calculations from RayStation's MC and APB algorithms.

Main Results:

• RayStation MC and APB algorithms showed excellent agreement with measured doses.
• MC algorithm demonstrated superior accuracy over APB, particularly for the breast phantom.
• Gamma agreement analysis revealed average depth differences <1 mm for neck phantoms with MC.

Conclusions:

• The MC dose algorithm provides more accurate dose calculations than APB.
• MC algorithm's accuracy is especially notable in heterogeneous tissue interfaces.
• Validation supports the clinical use of RayStation MC for improved treatment planning.