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A biological effect-guided optimization approach using beam distal-edge avoidance for intensity-modulated proton

Xuemin Bai1,2, Gino Lim1, David Grosshans3

  • 1Department of Industrial Engineering, University of Houston, Houston, TX, 77004, USA.

Medical Physics
|June 20, 2020
PubMed
Summary

A new method for intensity-modulated proton therapy (IMPT) optimizes biological effect by considering scanning spot location. This distal-edge avoidance (DEAOpt) approach improves tumor dose and spares critical structures more effectively than conventional methods.

Keywords:
IMPTLETRBEbiological effect

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Biology

Background:

  • Intensity-modulated proton therapy (IMPT) utilizes linear energy transfer (LET) for improved biological effect.
  • Current LET-guided methods overlook the spatial relationship between scanning spots and anatomical structures.
  • Optimizing IMPT requires accounting for the topological distribution of biological effects.

Purpose of the Study:

  • To develop a novel optimization method for IMPT that leverages LET increases beyond the Bragg peak.
  • To avoid placing high biological effect regions in critical structures.
  • To enhance biological effect within tumors without compromising target dose coverage.

Main Methods:

  • A distal-edge avoidance-guided optimization (DEAOpt) method was developed, incorporating an L1-norm sparsity term.
  • The penalty for each scanning spot in DEAOpt is based on the topological relationship between organ positions and peak LET-weighted dose.
  • Three optimization approaches (DoseOpt, LETOpt, DEAOpt) were compared in four patient cases (brain and head/neck tumors).

Main Results:

  • All methods achieved comparable dose coverage for targets and critical structures.
  • DEAOpt and LETOpt reduced biological effect hotspots in critical areas and increased them in targets similarly.
  • DEAOpt showed a 7.2% increase in target c LETxD98% and an 11.74% increase in c LETxD2% compared to DoseOpt.
  • DEAOpt reduced mean brainstem c LETxD by 33.38% compared to DoseOpt.
  • DEAOpt reduced computation time by 30.37% compared to LETOpt.

Conclusions:

  • Distal-edge avoidance-guided optimization (DEAOpt) offers an alternative IMPT optimization strategy.
  • DEAOpt effectively correlates scanning spot placement with biological effect distribution.
  • DEAOpt provides comparable biological effects to LETOpt while being computationally faster, making it beneficial for IMPT.