在左乳腺癌放射治疗中优化DIBH患者选择:快速查策略
Tie Lv1, Yihang Zhang2, Jiashu Dong1
1School of Physics, Beihang University, 9 South Third Street, Changping District, Beijing, 102206, China.
Practical radiation oncology
|January 17, 2026
概括
这项研究引入了一种新方法,可以快速选患者进行深呼吸屏息 (DIBH) 放射治疗左乳腺癌. 该方法使用CT合成和剂量预测来确定合适的候选者,减少辐射暴露和成本.
科学领域:
- 医疗成像医学成像
- 辐射瘤学 辐射瘤学
- 人工智能的人工智能
背景情况:
- 深呼吸呼吸 (DIBH) 减少心脏辐射暴露在左乳腺癌放射治疗中.
- 目前的DIBH适合性查需要额外的CT扫描,增加辐射剂量和成本.
研究的目的:
- 开发一种使用CT合成和定量剂量预测的DIBH适合性的创新查方法.
- 在左乳腺癌患者中优化DIBH放射治疗的临床工作流程.
主要方法:
- 一个两阶段模型从自由呼吸CT (FB-CT) 中生成合成DIBH-CT (sDIBH-CT).
- 在注册时使用精制的sDIBH-CT来预测DIBH-CT (pDIBH-CT) 和估计心脏平均剂量 (MHD).
- 建立了MHD降低值,以分层DIBH适合性.
主要成果:
- 与初始合成CT相比,预测的DIBH-CT (pDIBH-CT) 显示出更好的图像质量 (较低的MAE) 和轮精度 (更高的DSC).
- 放射治疗策略查准确率达到86.7%,预测结果与实际DIBH治疗结果相匹配.
- 对于心脏和肺部等关键结构,观察到子相似系数 (DSC) 的显著改善.
结论:
- 建议在左乳腺癌放射治疗中快速查DIBH适合性的策略.
- 这种方法有可能优化临床工作流程,减少患者和医疗保健提供者的负担.
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