Knowledge-based model for automated multi-isocenter total marrow and lymphoid irradiation planning across standard and large patient anatomies
A single KB model enabled effective planning for multi-isocenter TMLI, including anatomies requiring separate isocenters for the arms. Fully automated KB provided suboptimal dose distributions. KB with manual refinements reduced planner dependence and improved plan quality.
Authors
- Giacomo Reggiori (ORCID: https://orcid.org/0000-0003-3336-5690)
- Cristina Lenardi (ORCID: https://orcid.org/0000-0002-5522-6803)
- Stefano Tomatis (ORCID: https://orcid.org/0000-0002-4791-0373)
- Nicola Lambri (ORCID: https://orcid.org/0000-0001-8706-6480)
- Pietro Mancosu (ORCID: https://orcid.org/0000-0002-0165-7931)
- Damiano Dei (ORCID: https://orcid.org/0000-0001-9873-7868)
- Ciro Franzese (ORCID: https://orcid.org/0000-0001-6893-6284)
- Marta Scorsetti (ORCID: https://orcid.org/0000-0003-0320-559X)
- Manuela Meraldi
- Piera Navarria (ORCID: https://orcid.org/0000-0001-5504-1924)
Institutions
- Humanitas University (IT)
- Istituto Nazionale di Fisica Nucleare (IT)
- University of Milan (IT)
- IRCCS Humanitas Research Hospital (IT)
Publication Details
- Journal
- Physics and Imaging in Radiation Oncology
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1016/j.phro.2025.100781
- Citations
- 1
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.88
Funders
- Ministero della Salute