心脏结构的自动细分可以改变我们评估左乳房放射治疗剂量限制的方式
Murilo Guimarães Borges1, Joyce Gruenwaldt2, Danilo Matheus Barsanelli3
1Department of Medical Physics, Centre for Biomedical Engineering (CEB), University of Campinas, Rua Alexander Fleming, 163, Cidade Universitária, 13083-881 Campinas, SP, Brazil; Hospital da Mulher Prof. Dr. José Aristodemo Pinotti (CAISM), University of Campinas, R. Alexander Fleming, 101, Cidade Universitária, 13083-881 Campinas, SP, Brazil.
Journal of medical imaging and radiation sciences
|December 31, 2024
概括
自动细分工具通过将心脏剂量与基结构剂量相关联,改善左乳癌的放射治疗计划. 这有助于最大限度地减少心脏辐射暴露,并建立新的规划评估极限.
科学领域:
- 辐射瘤学 辐射瘤学
- 医学物理 医学物理
- 计算成像技术的成像
背景情况:
- 放射治疗对于乳腺癌治疗至关重要,需要精确的剂量评估以尽量减少副作用.
- 手动划分解剖结构是耗时的,容易变化.
- 自动细分为提高效率和一致性提供了一个有希望的替代方案.
研究的目的:
- 为了评估左乳房放射治疗的自分段心脏基结构中的剂量分布.
- 建立模型,将心脏剂量与特定亚结构中的剂量相关联.
- 为了解决RTOG 1005协议对心脏划界和尽量减少辐射暴露的重视.
主要方法:
- 使用TotalSegmentator和Limbus AI进行了解剖结构的自动细分.
- 使用逻辑线性回归来评估心脏体积和风险器官之间的关系.
- 对特定的RTOG 1005同位素剂量进行了剂量量评估.
主要成果:
- 在左前垂下冠状动脉 (LAD),心脏和左心室中观察到显著的平均剂量分布.
- 为了估计剂量约束参数,开发了逻辑线性回归模型.
- 对于绝对剂量-体积评估,发现的相关比较数量较多.
结论:
- 自动细分工具可以克服在放射治疗规划中划出心脏亚结构的挑战.
- 该研究建议通过将心脏剂量与基结构剂量相关联来规划评估的限制.
- 统计模型和绝对剂量-体积值可以增强放射治疗中未来的因果关系评估.
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