改善放射治疗中的临床决策:对线性-方位LQ和线性-方位-线性LQL剂量模型的比较分析
C Voyant1, D Julian2, S Muraro2
1Mines Paris, PSL University, Centre for Observation, Impacts, Energy (O.I.E.), Sophia-Antipolis, 06904, Antibes, France.
Clinical oncology (Royal College of Radiologists (Great Britain))
|July 18, 2025
概括
使用线性-二次数 (LQ) 和线性-二次数-线性 (LQL) 模型的放射治疗剂量建模在临床应用中显示出很高的可变性. 需要标准化的指导方针和培训,以提高生物有效剂量 (BED) 计算和患者护理的一致性.
科学领域:
- 辐射瘤学 辐射瘤学
- 医学物理 医学物理
- 癌症治疗方法 癌症治疗方法
背景情况:
- 精确的放射治疗剂量规划对于优化瘤控制和保护健康组织至关重要.
- 先进的剂量建模,包括线性-方位 (LQ) 和线性-方位-线性 (LQL) 模型,旨在完善生物有效剂量 (BED) 计算,以实现个性化治疗.
研究的目的:
- 研究先进的剂量建模方法 (LQ和LQL) 用于计算BED和改进放射治疗个性化.
- 评估这些模型在现实场景中的实际应用和临床共识.
主要方法:
- 一个放射生物学研讨会整合了LQ/LQL模型和BED计算器与患者特定数据 (分数,OAR约束).
- 使用统一的接口来模拟治疗计划,并在实际约束下预测正常组织并发症概率 (NTCPs).
- 临床案例研究使用雅卡德相似度指数分析了参与者的反应.
主要成果:
- 在治疗计划决策方面,观察到显著缺乏共识,参与者的平均同意率为25.83%.
- 这种异质性凸显了模型选择和应用的模两可,可能导致不同的治疗建议.
- 在各种场景中注意到了变化,包括治疗中断,息增强和重新辐射.
结论:
- 对个性化放射治疗的LQ和LQL模型的解释和实施是高度可变的.
- 对剂量等效计算和问责制框架的专业责任需要澄清.
- 标准化指导方针,加强培训和决策支持系统对于减少观察者之间的变化和改善临床采用至关重要.
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