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A radiotherapy community data-driven approach to determine which complexity metrics best predict the impact of atypical TPS beam modeling on clinical dose calculation accuracy.

Fre'Etta Mae Dayo BrooksMallory Carson GlennVictor HernandezJordi SaezHunter MehrensJulianne Marie Pollard-LarkinRebecca Maureen HowellChristine Burns PetersonChristopher Lee NelsonCatharine Helen ClarkStephen Frasier Kry
Published in: Journal of applied clinical medical physics (2024)
Extreme values for MLC offset and MLC transmission beam modeling parameters were found to most substantially impact the dose distribution of clinical plans and careful attention should be given to these beam modeling parameters. The mean MLC Gap and TGi complexity metrics were best suited to identifying clinical plans most sensitive to beam modeling errors; this could help provide focus for clinical QA in identifying unacceptable plans.
Keyphrases
  • healthcare
  • mental health
  • emergency department
  • radiation therapy
  • working memory
  • patient safety
  • radiation induced