基于孔径的复杂度指标的分析及其对强度调节辐射治疗规划中的患者特定质量保证的影响
Dinesh Kumar Saroj1,2, Suresh Yadav3, Neetu Paliwal2
1Department of Radiotherapy, BALCO Medical Center, A Unit of Vedanta Medical Research Foundation, New Raipur, Chhattisgarh, India.
Journal of medical physics
|April 21, 2025
概括
复杂度指标可以预测IMRT计划中的患者特定质量保证 (PSQA) 失败. 平均小面积细分 (MSAS) 5mm指标显示,有望识别高风险计划,提高效率而不会损害安全.
科学领域:
- 医学物理 医学物理
- 辐射瘤学 辐射瘤学
- 质量保证 质量保证 质量保证
背景情况:
- 患者特异性质量保证 (PSQA) 对治疗安全至关重要.
- 识别有PSQA故障风险的IMRT计划可以优化工作负载.
- 复杂度指标为预测PSQA结果提供了一个潜在的方法.
研究的目的:
- 评估复杂度指标在头癌IMRT计划中的PSQA结果的预测价值.
- 确定复杂度指标是否可以识别可能失败的计划PSQA.
- 评估使用这些指标来简化质量保证流程的潜力.
主要方法:
- 对192个头IMRT计划的回顾性分析.
- 使用Python程序计算复杂度指标.
- 基于3%/2-mm马通过率 (GPR) 标准的PSQA评估 (通过:GPR ≥95%,失败:GPR <95%).
- 包括斯皮尔曼相关性和ROC分析在内的统计分析.
主要成果:
- 通过计划的平均GPR (98.64 ± 1.33%) 比失败计划 (92.17 ± 2.35%) 高得多.
- 平均小面积细分 (MSAS) 5mm度量,值为0.085,表明真阳性率为38.17%,假阳性率为3.1%.
- 光束调节和光束面积指数也显示了通过和失败计划之间的显著差异.
结论:
- 复杂度指标,特别是MSAS5和边缘指标,显示出识别高风险PSQA失败的IMRT计划的巨大潜力.
- 这些指标可以指导有针对性的PSQA努力,提高工作流效率.
- 实施基于复杂性的风险分层可以改善放射性瘤学中的治疗安全性和资源分配.
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