肺功能预测方法基于卷积表面建模和计算流体动力学模拟.
Xianhui Lian1,2,3, Tianliang Hu1,2,3, Songhua Ma1,2,3
1School of Mechanical Engineering, Shandong University, Jinan 250061, China.
Healthcare (Basel, Switzerland)
|September 13, 2025
概括
这项研究引入了一种使用计算流体动力学和气道建模来预测肺功能的新方法,克服了传统肺功能测试的局限性. 该方法准确预测患者的结果,并有助于规划呼吸道狭窄治疗.
科学领域:
- 医学成像和计算机建模
- 呼吸系统生理学 呼吸系统生理学
- 生物医学工程 生物医学工程
背景情况:
- 肺功能测试 (PFTs) 对于评估呼吸系统疾病至关重要,但受到患者遵守和无法预测未来健康趋势的限制.
- 现有的计算流体动力学 (CFD) 气道模型由于几何缺陷和无法代表患者特定的结构特征而缺乏准确性.
研究的目的:
- 利用CT数据和卷积表面技术开发个性化的气道建模方法,克服当前模型的局限性.
- 使用基于构建的气道模型的CFD模拟来预测患者的肺功能.
- 探索该方法在患有大气道狭窄症的患者中预先预测气道扩张程度的应用.
主要方法:
- 使用卷积表面技术,从CT衍生的气道骨架构出个性化的气道模型.
- 使用患者特定的肺功能数据来模拟气道模型,以生成模拟数据.
- 在测量到的肺功能值和用于预测建模的气道模拟数据之间建立了一个回归方程.
主要成果:
- 一项概念验证研究使用线性回归模型 (RMSE = 0.0246,R2 = 0.9822) 准确预测了大型气道狭窄患者的FEV1.
- 该方法计算了在狭窄部位所需的72.86%的气道半径扩张,以达到正常的FEV1.
- 对所需的气道扩张进行了术前预测,并取得了成功.
结论:
- 通过CFD和卷积表面技术建立了一种用于预测患者肺功能的新方法.
- 这种方法减轻了与传统PFT患者遵守和准确性相关的局限性.
- 这项研究为手术前评估呼吸道扩张疗法提供了有价值的工具.
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