Modeling dosimetric benefits from daily adaptive RT for gynecological cancer patients with and without knowledge-based dose prediction.

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Tác giả: Daniela Branco, Rupesh Ghimire, Jyoti S Mayadev, Lance Moore, Dominique L Rash, Xenia Ray

Ngôn ngữ: eng

Ký hiệu phân loại: 373.236 Lower level

Thông tin xuất bản: United States : Journal of applied clinical medical physics , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 701560

PURPOSE: Daily online adaptive radiotherapy (ART) improves dose metrics for gynecological cancer patients, but the on-treatment process is resource-intensive requiring longer appointments and additional time from the entire adaptive team. To optimize resource allocation, we propose a model to identify high-priority patients. METHODS: For 49 retrospective cervical and endometrial cancer patients, we calculated two initial plans: the treated standard-of-care (Initial RESULTS: In both CONCLUSION: This methodology will allow clinics to prioritize patients for resource-intensive daily online ART.
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