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A fast and robust constraint-based online re-optimization approach for automated online adaptive intensity modulated proton therapy in head and neck cancer.
Oud, Michelle; Breedveld, Sebastiaan; Rojo-Santiago, Jesús; Gizynska, Marta Krystyna; Kroesen, Michiel; Habraken, Steven; Perkó, Zoltán; Heijmen, Ben; Hoogeman, Mischa.
Afiliación
  • Oud M; Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Radiotherapy, Rotterdam, The Netherlands.
  • Breedveld S; HollandPTC, Department of Medical Physics & Informatics, Delft, The Netherlands.
  • Rojo-Santiago J; Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Radiotherapy, Rotterdam, The Netherlands.
  • Gizynska MK; Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Radiotherapy, Rotterdam, The Netherlands.
  • Kroesen M; HollandPTC, Department of Medical Physics & Informatics, Delft, The Netherlands.
  • Habraken S; HollandPTC, Department of Medical Physics & Informatics, Delft, The Netherlands.
  • Perkó Z; Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Radiotherapy, Rotterdam, The Netherlands.
  • Heijmen B; HollandPTC, Department of Radiation Oncology, Delft, The Netherlands.
  • Hoogeman M; Erasmus MC Cancer Institute, University Medical Center Rotterdam, Department of Radiotherapy, Rotterdam, The Netherlands.
Phys Med Biol ; 69(7)2024 Mar 14.
Article en En | MEDLINE | ID: mdl-38373350
ABSTRACT
Objective. In head-and-neck cancer intensity modulated proton therapy, adaptive radiotherapy is currently restricted to offline re-planning, mitigating the effect of slow changes in patient anatomies. Daily online adaptations can potentially improve dosimetry. Here, a new, fully automated online re-optimization strategy is presented. In a retrospective study, this online re-optimization approach was compared to our trigger-based offline re-planning (offlineTBre-planning) schedule, including extensive robustness analyses.Approach. The online re-optimization method employs automated multi-criterial re-optimization, using robust optimization with 1 mm setup-robustness settings (in contrast to 3 mm for offlineTBre-planning). Hard planning constraints and spot addition are used to enforce adequate target coverage, avoid prohibitively large maximum doses and minimize organ-at-risk doses. For 67 repeat-CTs from 15 patients, fraction doses of the two strategies were compared for the CTVs and organs-at-risk. Per repeat-CT, 10.000 fractions with different setup and range robustness settings were simulated using polynomial chaos expansion for fast and accurate dose calculations.Main results. For 14/67 repeat-CTs, offlineTBre-planning resulted in <50% probability ofD98%≥ 95% of the prescribed dose (Dpres) in one or both CTVs, which never happened with online re-optimization. With offlineTBre-planning, eight repeat-CTs had zero probability of obtainingD98%≥ 95%Dpresfor CTV7000, while the minimum probability with online re-optimization was 81%. Risks of xerostomia and dysphagia grade ≥ II were reduced by 3.5 ± 1.7 and 3.9 ± 2.8 percentage point [mean ± SD] (p< 10-5for both). In online re-optimization, adjustment of spot configuration followed by spot-intensity re-optimization took 3.4 min on average.Significance. The fast online re-optimization strategy always prevented substantial losses of target coverage caused by day-to-day anatomical variations, as opposed to the clinical trigger-based offline re-planning schedule. On top of this, online re-optimization could be performed with smaller setup robustness settings, contributing to improved organs-at-risk sparing.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radioterapia de Intensidad Modulada / Terapia de Protones / Neoplasias de Cabeza y Cuello Límite: Humans Idioma: En Revista: Phys Med Biol Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radioterapia de Intensidad Modulada / Terapia de Protones / Neoplasias de Cabeza y Cuello Límite: Humans Idioma: En Revista: Phys Med Biol Año: 2024 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Reino Unido