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Beyond conventional bounds: Surpassing system limits for stereotactic ablative (SAbR) lung radiotherapy using CBCT-based adaptive planning system.

Yesenia GonzalezJustin VisakLuke OvermanChien-Yi LiaoAllen YenTingliang ZhuangBin CaiAndrew GodleyYuanyuan ZhangRobert TimmermanPuneeth IyengarKenneth WestoverDavid ParsonsMu-Han Lin
Published in: Journal of applied clinical medical physics (2024)
We developed a robust and readily shareable planning strategy for the treatment of adaptive lung SAbR on the Ethos system. We validated that automatic online plan re-optimization along with the formulated adaptive tuning structures can ensure consistent plan quality. With the proposed planning strategy, highly ablative treatments are feasible on Ethos.
Keyphrases
  • deep learning
  • machine learning
  • radiation therapy
  • high resolution
  • locally advanced
  • healthcare
  • squamous cell carcinoma
  • magnetic resonance
  • quality improvement
  • mass spectrometry
  • replacement therapy