Evaluation of a prostate SBRT planning workflow using auto‐segmentation and knowledge‐based planning
This study investigates a prostate SBRT treatment planning workflow by leveraging AI contouring and KBP. Although a fully automated workflow is not yet feasible, results are encouraging when physician-delineated target volumes are combined with post-processed AI contours.
Authors
- Mingdong Fan
- Timothy L. Jones (ORCID: https://orcid.org/0000-0003-2037-7334)
- Pretesh R. Patel
- Kirk Luca (ORCID: https://orcid.org/0000-0002-3781-6666)
- Xiaofeng Yang (ORCID: https://orcid.org/0000-0001-9023-5855)
- Jie Ding (ORCID: https://orcid.org/0000-0003-1676-7778)
- Justin R. Roper (ORCID: https://orcid.org/0009-0004-1729-4444)
- Ashesh B. Jani
Institutions
- Southern Illinois University Carbondale (US)
- Emory University (US)
Publication Details
- Journal
- Journal of Applied Clinical Medical Physics
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1002/acm2.70295
- Citations
- 1
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 2.01