Work

Quality assurance for deep learning-based proton therapy planning in routine clinical use for oropharyngeal cancer

Year: 2026

Type: article

Abstract: Quality assurance is required to ensure safe and reliable use of deep learning (DL)-based intensity modulated proton therapy (IMPT) planning for oropharyngeal cancer patients. This study presents a range of quality assurance measures applied during routine clinical use and include manual adjustments to DL-based plans, independent organ-of-interest dose guidance and multidisciplinary plan review. DL-based plans were clinically acceptable for all 78 patients and achieved 1.1 Gy (RBE) lower parotid dose than manual plans. The implemented quality assurance measures enabled safe routine clinical use of DL-based IMPT planning over 28-months.

Source: Physics and Imaging in Radiation Oncology

DOI: 10.1016/j.phro.2026.101067

Authors: Ilse G. van Bruggen, Minke J. Brinkman-Akker, Ilse D. Jonkhof, Johannes A. Langendijk, Stefan Both, Erik W. Korevaar

Institution: University Medical Center Groningen

Language: English

Topic: Radiation Therapy and Dosimetry

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,980