Rayn Kareem, Magliari Anthony, Clark Ryan, Rosa Lesley, Doucet Robert, Comeau Line, Nichol Alan, Ruo Russell, Roberge David
Office of Medical Affairs, Varian, A Siemens Healthineers Company, Palo Alto, CA, United States.
Department of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, United States.
Front Oncol. 2024 Nov 27;14:1465171. doi: 10.3389/fonc.2024.1465171. eCollection 2024.
This study develops two new multi-institutional hippocampal-sparing whole-brain RapidPlan™ models (HLS-EC-WB and HMS-EC-WB) inspired by CCTG-CE.7 featuring enhanced target coverage with varying hippocampal sparing (limited and moderate).
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 five-case set and compared at 20- and 30-Gy prescriptions.
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.
Three high-quality automated RapidPlan™ 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.
本研究受CCTG-CE.7启发，开发了两种新的多机构海马体保留全脑RapidPlan™模型（HLS-EC-WB和HMS-EC-WB），其特点是在不同程度的海马体保留（有限和适度）情况下增强了靶区覆盖。
创建了新的剂量学计分卡来量化模型的临床意图。使用多机构数据集对模型进行训练，并采用递归方法生成一致的高质量计划。使用一个五例病例集对模型进行验证，并在20 Gy和30 Gy处方剂量下进行比较。
每个模型在其相关的剂量学计分卡上得分最高。与之前的HSWBv2模型（95.12%）相比，新模型实现了更高的脑PTV处方剂量覆盖（98%-99%），但在海马体保留方面有所权衡。
现在有三种用于海马体保留全脑的高质量自动化RapidPlan™模型，每个模型都有独特的剂量学计分卡。新模型优先提高PTV覆盖，但以牺牲海马体保留为代价。所有模型、示例计划、计分卡和评分工具均可在网上免费获取。
