Semi‐automated hippocampal avoidance whole‐brain radiotherapy planning
Our rule-based autoplanning algorithm produces high-quality plans that are comparable to those of manual planning, demonstrating autoplanning's potential to reduce HA-WBRT planning time while ensuring consistent plan quality.
Authors
- Dong Joo Rhee (ORCID: https://orcid.org/0000-0003-0486-1556)
- X. Wang (ORCID: https://orcid.org/0009-0005-6984-3844)
- Laurence E. Court (ORCID: https://orcid.org/0000-0002-3241-6145)
- Kelly J. Perrin
- Subha Perni (ORCID: https://orcid.org/0000-0003-2851-4903)
- Callistus Nguyen (ORCID: https://orcid.org/0000-0003-4832-869X)
- He Wang (ORCID: https://orcid.org/0000-0002-4904-531X)
- Eun Young Han
- Alexandra O. Leone (ORCID: https://orcid.org/0000-0002-2497-7209)
- Kevin E. Casey (ORCID: https://orcid.org/0000-0001-7345-7130)
Institutions
- The University of Texas MD Anderson Cancer Center (US)
Publication Details
- Journal
- Journal of Applied Clinical Medical Physics
- Published
- 2025-03-18
- DOI
- https://doi.org/10.1002/acm2.70076
- Primary Topic
- Brain Metastases and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00