Minimizing human interference in an online fully automated daily adaptive radiotherapy workflow for bladder cancer
While an online fully automated daily adaptive RT workflow shows promise for bladder treatment, its complexity becomes apparent when incorporating a focal boost, necessitating manual checks to prevent potential underdosage of the target.
Authors
- Karin Goudschaal (ORCID: https://orcid.org/0000-0003-1272-2679)
- Sana Azzarouali
- Duncan den Boer (ORCID: https://orcid.org/0000-0001-5895-6310)
- Laurien Daniëls
- Arjan Bel (ORCID: https://orcid.org/0000-0003-1576-6220)
- J. Visser (ORCID: https://orcid.org/0000-0003-2682-1483)
Institutions
- Amsterdam University Medical Centers (NL)
- Cancer Center Amsterdam (NL)
- Vrije Universiteit Amsterdam (NL)
- University of Amsterdam (NL)
Publication Details
- Journal
- Radiation Oncology
- Published
- 2024-10-07
- DOI
- https://doi.org/10.1186/s13014-024-02526-2
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Siemens Healthineers
- Cancer Center Amsterdam