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A retrospective study on the investigation of potential dosimetric benefits of online adaptive proton therapy for head and neck cancer.
Chang, Chih-Wei; Bohannon, Duncan; Tian, Zhen; Wang, Yinan; Mcdonald, Mark W; Yu, David S; Liu, Tian; Zhou, Jun; Yang, Xiaofeng.
Afiliação
  • Chang CW; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
  • Bohannon D; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
  • Tian Z; Department of Radiation and Cellular Oncology, University of Chicago, Chicago, Illinois, USA.
  • Wang Y; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
  • Mcdonald MW; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
  • Yu DS; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
  • Liu T; Department of Radiation Oncology, Mount Sinai Medical Center, New York, New York, USA.
  • Zhou J; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
  • Yang X; Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, Georgia, USA.
J Appl Clin Med Phys ; 25(5): e14308, 2024 May.
Article em En | MEDLINE | ID: mdl-38368614
ABSTRACT

PURPOSE:

Proton therapy is sensitive to anatomical changes, often occurring in head-and-neck (HN) cancer patients. Although multiple studies have proposed online adaptive proton therapy (APT), there is still a concern in the radiotherapy community about the necessity of online APT. We have performed a retrospective study to investigate the potential dosimetric benefits of online APT for HN patients relative to the current offline APT.

METHODS:

Our retrospective study has a patient cohort of 10 cases. To mimic online APT, we re-evaluated the dose of the in-use treatment plan on patients' actual treatment anatomy captured by cone-beam CT (CBCT) for each fraction and performed a templated-based automatic replanning if needed, assuming that these were performed online before treatment delivery. Cumulative dose of the simulated online APT course was calculated and compared with that of the actual offline APT course and the designed plan dose of the initial treatment plan (referred to as nominal plan). The ProKnow scoring system was employed and adapted for our study to quantify the actual quality of both courses against our planning goals.

RESULTS:

The average score of the nominal plans over the 10 cases is 41.0, while those of the actual offline APT course and our simulated online course is 25.8 and 37.5, respectively. Compared to the offline APT course, our online course improved dose quality for all cases, with the score improvement ranging from 0.4 to 26.9 and an average improvement of 11.7.

CONCLUSION:

The results of our retrospective study have demonstrated that online APT can better address anatomical changes for HN cancer patients than the current offline replanning practice. The advanced artificial intelligence based automatic replanning technology presents a promising avenue for extending potential benefits of online APT.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dosagem Radioterapêutica / Planejamento da Radioterapia Assistida por Computador / Radioterapia de Intensidade Modulada / Órgãos em Risco / Terapia com Prótons / Neoplasias de Cabeça e Pescoço Limite: Humans Idioma: En Revista: J Appl Clin Med Phys Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dosagem Radioterapêutica / Planejamento da Radioterapia Assistida por Computador / Radioterapia de Intensidade Modulada / Órgãos em Risco / Terapia com Prótons / Neoplasias de Cabeça e Pescoço Limite: Humans Idioma: En Revista: J Appl Clin Med Phys Ano de publicação: 2024 Tipo de documento: Article