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ORIGINAL RESEARCH article
Front. Oncol.
Sec. Radiation Oncology
Volume 14 - 2024 |
doi: 10.3389/fonc.2024.1465171
Dosimetric Scorecards Express Precise Clinical Intent: Alternate Hippocampal Sparing Whole Brain RapidPlan Models Favoring Target Coverage and Homogeneity at 30Gy and 20Gy
Provisionally accepted- 1 Varian Medical Systems (United States), Palo Alto, United States
- 2 Department of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida, United States
- 3 Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Université de Montréal, Montréal, Quebec, Canada
- 4 McGill University Health Centre, Montreal, Quebec, Canada
- 5 BC Cancer Research Institute, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
This study develops two new multi-institutional Hippocampal Sparing Whole Brain RapidPlan TM Models (HLS-EC-WB & HMS-EC-WB) inspired by CCTG-CE.7, featuring enhanced target coverage with varying hippocampal sparing (limited and moderate). Methods: New dosimetric scorecards were created to quantify the models' clinical intent. The models were trained using a multi-institution dataset, and a recursive method was employed to generate consistent, high-quality plans. The models were validated using a 5-case set and compared at 20 Gy and 30 Gy prescriptions. Results: Each model scored highest on its associated dosimetric scorecard. The new models achieved higher brain PTV prescription coverage (98-99%) compared to the previous HSWBv2 model (95.12%), with some trade-off in hippocampal sparing. Conclusions: Three high-quality automated RapidPlan TM models for Hippocampal Sparing Whole Brain are now available, each with a distinct dosimetric scorecard. The new models prioritize increased PTV coverage at some expense to hippocampal sparing. All models, example plans, scorecards, and scoring tools are freely available online.
Keywords: Dosimetric Scorecard1, RapidPlan2, autoplanning3, Hippocampal Sparing4, Hypofractionation5
Received: 15 Jul 2024; Accepted: 28 Oct 2024.
Copyright: © 2024 Rayn, Magliari, Clark, Rosa, Doucet, Comeau, Nichol, Ruo and Roberge. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Kareem Rayn, Varian Medical Systems (United States), Palo Alto, United States
Anthony Magliari, Varian Medical Systems (United States), Palo Alto, United States
Lesley Rosa, Varian Medical Systems (United States), Palo Alto, United States
Robert Doucet, Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Université de Montréal, Montréal, H3W 1W5, Quebec, Canada
Line Comeau, McGill University Health Centre, Montreal, H4A 3J1, Quebec, Canada
Russel Ruo, McGill University Health Centre, Montreal, H4A 3J1, Quebec, Canada
David Roberge, Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal, Université de Montréal, Montréal, H3W 1W5, Quebec, Canada
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