Preliminary comparison between automated and manually planned treatments for brain metastasis

Marcello Serra, Federica Savino, Gianluca Ametrano, Maria Quarto, Domenico Tafuri, Filomena Loffredo, Paolo Muto

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction: Radiotherapy is increasingly used for the treatment of cancer patients and more and more personalized treatments are being developed to improve the patient's quality of life. Today, the medical community is moving toward VMAT plans, which allow to deliver the prescription dose to the tumor and to spare surrounding healthy tissues. In this context the development of autoplanning system is desirable. Method and results: In this work we report the implementation, in the TPS RayStation, of the autoplanning algorithm that creates high quality plans, when brain metastases are involved. Conclusion: At the state of the art, the AP codes can be intended to lighten the work of the medical physicist so that he can refine the plan previously elaborated in AP modality or devote himself to more delicate situations.

Original languageEnglish
Pages (from-to)3681-3685
Number of pages5
JournalActa Medica Mediterranea
Volume36
Issue number6
DOIs
Publication statusPublished - 2020

Keywords

  • Autoplanning
  • Brain metastasis
  • OARs sparing
  • PlanIQ
  • VMAT
  • WBRT

ASJC Scopus subject areas

  • Medicine(all)

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