在暴露于石棉的患者中,以人工智能为基础量化膜斑块体积和与肺功能相关的肺功能
Kevin B W Groot Lipman1,2,3,4, Thierry N Boellaard1, Cornedine J de Gooijer2
1Department of Radiology.
Journal of thoracic imaging
|October 31, 2023
概括
一个人工智能算法从CT扫描中自动测量膜斑块 (PP) 体积. 较高的PP体积与生命能力 (VC) 和强迫生命能力 (FVC) 的降低相关,有助于对石棉暴露的研究.
科学领域:
- 肺部医学 肺部医学
- 放射学 放射学是一门学科.
- 人工智能的人工智能
背景情况:
- 胸腔斑块 (PPs) 是对石棉暴露的指标.
- PP体积和肺功能之间的联系尚不清楚.
- 手动的PP划分是耗时的,阻碍了研究.
研究的目的:
- 开发一个人工智能算法,用于自动化PP细分和体积计算.
- 调查膜斑块体积 (PPV) 和肺功能测试之间的关联.
主要方法:
- 在422个CT扫描中训练了一种AI模型 (no-new-UNet),用于PP细分.
- 使用子相似系数和斯皮尔曼相关性验证AI性能.
- 评估了PPV和生命能力 (VC),强迫生命能力 (FVC) 和一氧化碳扩散能力 (DLCO) 之间的相关性.
主要成果:
- 人工智能模型实现了0.90的相关性和0.71子相似系数的PP体积.
- 在PPV和VC (r=-0.40) 和FVC (r=-0.38) 之间发现了微弱到中度的负相关性.
- 在PPV和DLCO (r=-0.09) 之间没有观察到显著的相关性.
- 较高的PPV与VC和FVC的统计学显著减少有关.
结论:
- 成功开发了一种人工智能算法,用于自动化PP细分和体积提取.
- 在暴露于石棉的个体中,PPV与减少VC和FVC显著相关.
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