Clinical implementation of deep learning robust IMPT planning in oropharyngeal cancer patients: A blinded clinical study

•Deep learning planning automates robust proton therapy planning for oropharyngeal cancer.•Plan quality was evaluated in blinded retrospective and prospective studies.•Deep learning plans were preferred over or comparable to manual plans in 92% of the patients. This study aimed to evaluate the plan...

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Veröffentlicht in:	Radiotherapy and oncology 2024-11, Vol.200, p.110522, Article 110522
Hauptverfasser:	van Bruggen, Ilse G., van Dijk, Marije, Brinkman-Akker, Minke J., Löfman, Fredrik, Langendijk, Johannes A., Both, Stefan, Korevaar, E.W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Automated treatment planning Deep learning Head and neck cancer IMPT Robust evaluation Robust optimization
Online-Zugang:	Volltext
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