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Simulating intrafraction prostate motion with a random walk model.

Tobias Pommer1,2,3, Jung Hun Oh3, Per Munck Af Rosenschöld1,3

  • 1Department of Oncology, Section of Radiotherapy, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.

Advances in Radiation Oncology
|November 9, 2017
PubMed
Summary
This summary is machine-generated.

Prostate motion during radiation therapy can be modeled using a random walk approach. This statistical model provides a general estimate of prostate movement, aiding in radiation therapy simulations and margin calculations.

Keywords:
intrafraction motionmotion managementrandom walk

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Area of Science:

  • Radiation Oncology
  • Medical Physics
  • Biomedical Engineering

Background:

  • Prostate motion during radiation therapy (intrafraction motion) can lead to reduced radiation dose to the prostate and increased dose to surrounding organs at risk.
  • A statistical model of prostate motion is needed for accurate radiation therapy delivery simulation and margin calculations.

Purpose of the Study:

  • To investigate the feasibility of using a random walk model to statistically describe prostate motion during radiation therapy.
  • To assess the model's utility for simulating radiation therapy delivery and calculating margins.

Main Methods:

  • Analyzed prostate motion data from 548 radiation therapy fractions in 17 patients.
  • Developed a random walk prostate motion model, incorporating transient motion as large anterior/superior steps followed by returns.
  • Conducted simulations with and without artificial transient motion, using all observed traces or only excursion-free traces as input.

Main Results:

  • The random walk model demonstrated reasonable agreement with observed prostate motion, particularly in excursion-free simulations within the first 5 minutes.
  • Simulated and observed diffusion coefficients showed good agreement across directions (0.03-0.3 mm²/min).
  • Initial rapid variance increase in observed traces, attributed to patient adjustment, was difficult to fully reproduce but partially estimated with artificial transient motion.

Conclusions:

  • Random walk modeling is a feasible approach for characterizing prostate motion during radiation therapy.
  • While artificial transient motion did not significantly improve overall agreement, it better reproduced the initial 30 seconds of motion.
  • The developed model offers a simplified yet effective statistical estimate of prostate motion relevant to radiation therapy delivery.