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Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
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Robust optimization for intensity-modulated proton therapy with soft spot sensitivity regularization.

Wenbo Gu1, Dan Ruan1, Daniel O'Connor1

  • 1Department of Radiation Oncology, University of California-Los Angeles, Los Angeles, CA, 90095, USA.

Medical Physics
|December 21, 2018
PubMed
Summary

A new intensity-modulated proton therapy (IMPT) method improves robustness against range and positioning uncertainties. This sensitivity-regularized (SenR) approach offers faster computation and better organ sparing than traditional methods.

Keywords:
intensity modulated proton therapyperturbationrobustnesssensitivity

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Biology

Background:

  • Proton dose distribution accuracy is challenged by range and patient positioning uncertainties.
  • Current worst-case scenario optimization methods for proton robustness are computationally intensive.

Purpose of the Study:

  • To develop a novel, computationally efficient intensity-modulated proton therapy (IMPT) optimization method.
  • To integrate dose fidelity with a sensitivity term accounting for range and positioning uncertainties.

Main Methods:

  • A new optimization framework was formulated with dose fidelity and robustness terms.
  • Spot sensitivity to perturbations was calculated using spatial gradients of dose distributions.
  • The fast iterative shrinkage-thresholding algorithm was employed for optimization.
  • The sensitivity-regularized (SenR) method was tested on skull base and head-and-neck cancer patients, compared to conventional (Conv) and worst-case (WC) methods.

Main Results:

  • SenR methods improved CTV dose coverage and plan robustness compared to the conventional method under both range and setup uncertainties.
  • CTV-based SenR demonstrated superior organ-at-risk (OAR) sparing compared to the WC approach.
  • The SenR optimization runtime was significantly shorter (eight times) than the WC method.

Conclusions:

  • A computationally efficient, robust IMPT optimization method (SenR) was developed.
  • SenR integrates dose fidelity with spot sensitivity to perturbations, offering flexibility and trade-offs.
  • The method is resilient to uncertainties and its fast computation time makes it suitable for clinical IMPT planning.