基于CT的放射学增强肺SBRT的呼吸功能分析
Alice Porazzi1, Mattia Zaffaroni1, Vanessa Eleonora Pierini1,2
1Division of Radiation Oncology, IEO European Institute of Oncology IRCCS, 20141 Milan, Italy.
Bioengineering (Basel, Switzerland)
|August 28, 2025
概括
肺膜的放射性分析可以预测肺功能,特别是肺部对一氧化碳 (DLCO) 的扩散能力. 结合临床和放射学模型,可预测SBRT治疗后的肺功能.
科学领域:
- 肺部医学
- 放射学
- 医学成像分析
背景情况:
- 放射学为临床应用提供非侵入性定量成像功能.
- 通过放射学量化肺功能可以帮助管理肺病变.
- 本研究的重点是利用放射性特征预测肺部对一氧化碳 (DLCO) 的扩散能力.
研究的目的:
- 评估放射性特征在预测肺功能参数,特别是DLCO的能力.
- 评估临床,放射性和联合临床放射性模型对DLCO异常的预测性能.
- 探索放射学在立体体辐射疗法 (SBRT) 后预测肺功能变化的潜力.
主要方法:
- 对接受肺癌或结节SBRT的98名患者进行了回顾性分析.
- 从4DCT扫描中提取肺膜的放射性特征,不包括病变.
- 使用不同CT相预测DLCO异常的三个模型 (临床,放射性,临床-放射性) 的开发,通过AUC进行评估.
主要成果:
- 查尔森并发症指数 (CCI) 是基线DLCO最重要的临床预测指标.
- 临床放射学模型在预测基线和治疗后的DLCO异常方面表现优于单个临床或放射学模型.
- 临床放射学模型实现了0. 72- 0. 75的基线DLCO预测和0. 91- 0. 95的治疗后DLCO预测.
结论:
- 4D CT 扫描中的健康肺膜的放射性特征与基线肺功能相关.
- 放射学为肺功能评估的替代模型提供了有价值的信息.
- 初步发现表明放射学模型可以预测SBRT后的肺功能,需要在更大的前性研究中进一步验证.
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