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TEAM: Triangular-mEsh Adaptive and Multiscale proton spot generation method.

Chao Wang1, Bowen Lin2, Yuting Lin1

  • 1Department of Radiation Oncology, University of Kansas Medical Center, Kansas City, Kansas, USA.

Medical Physics
|August 14, 2024
PubMed
Summary
This summary is machine-generated.

A new Triangular-mEsh-based Adaptive and Multiscale (TEAM) method improves proton therapy spot placement. TEAM optimizes dose conformality and delivery efficiency, offering better plan quality and robustness for cancer treatment.

Keywords:
adaptivemultiscaleproton therapyspot generationtriangular mesh

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Imaging

Background:

  • Proton therapy offers dose conformity for sparing healthy tissues using Bragg peaks.
  • Current proton therapy planning can be improved in terms of spot placement, sampling, and accounting for scattering effects.
  • Optimization is needed to address limitations like the minimum-monitor-unit (MMU) constraint and its impact on high-dose-rate delivery.

Purpose of the Study:

  • To develop a novel Triangular-mEsh-based Adaptive and Multiscale (TEAM) proton spot generation method.
  • To optimize proton dose conformality and enhance plan delivery efficiency in proton therapy.

Main Methods:

  • TEAM utilizes a triangular mesh for conformal shaping of complex tumor targets, unlike structured grids.
  • It employs adaptive sampling (dense at boundaries, coarse in interior) for precise dose falloff and efficient coverage.
  • Depth-dependent sampling compensates for multiple Coulomb scattering (MCS), improving accuracy and efficiency with depth.

Main Results:

  • TEAM achieved superior plan quality using fewer spots (<60% of the standard UNIFORM method).
  • The TEAM method demonstrated enhanced robustness against variations in spot count and large MMU thresholds.
  • TEAM outperformed other adaptive methods in plan quality and spot count efficiency.

Conclusions:

  • The proposed TEAM method, based on triangular meshes, significantly improves proton spot placement.
  • TEAM enhances plan quality, robustness to spot number, and robustness to MMU thresholds compared to existing methods.
  • This approach offers a more effective strategy for optimizing proton therapy planning and delivery.