多标准优化与基于知识的建模相结合在包括区域结节在内的左侧乳腺放射治疗中的有效性

IF 3.4 Q2 ONCOLOGY

Physics and Imaging in Radiation Oncology Pub Date : 2024-04-01 DOI:10.1016/j.phro.2024.100595

Sornjarod Oonsiri, Sakda Kingkaew, Mananchaya Vimolnoch, Nichakan Chatchumnan, Nuttha Plangpleng, Puntiwa Oonsiri

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引用次数: 0

摘要

多标准优化（MCO）是一种添加到治疗计划中的方法，用于创建高质量的治疗计划。本研究旨在探讨 MCO 与基于知识的计划（KBP）相结合在左侧乳房（包括区域结节）放射治疗中的有效性。对手动计划（MP）、KBP 和 KBP + MCO 的剂量/体积参数进行了评估。MP计划的靶体积剂量覆盖范围更大，而KBP + MCO计划的风险器官剂量最低。KBP 和 KBP + MCO 计划的复杂性越来越高，具体表现在监测单元的数量上。

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Effectiveness of multi-criteria optimization in combination with knowledge-based modeling in radiotherapy of left-sided breast including regional nodes

Multi-criteria optimization (MCO) is a method that was added to treatment planning to create high-quality treatment plans. This study aimed to investigate the effectiveness of MCO in combination with knowledge-based planning (KBP) in radiotherapy for left-sided breasts, including regional nodes. Dose/volume parameters were evaluated for manual plans (MP), KBP, and KBP + MCO. Planning target volume doses of MP had better coverage while KBP + MCO plans demonstrated the lowest organ at risk doses. KBP and KBP + MCO plans had increasing complexity as expressed in the number of monitor units.

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来源期刊

Physics and Imaging in Radiation Oncology Physics and Astronomy-Radiation

CiteScore

5.30

自引率

18.90%

发文量

审稿时长

6 weeks