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相关概念视频

Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

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通过人工智能对未开放的胸部CT进行喷射分量的量化.

Jianhang Zhou1, Jacek Kwieciński1,2, Aakash Shanbhag1,3

  • 1Artificial Intelligence in Medicine Research Center, Departments of Biomedical Sciences, Medicine, and Cardiology, Cedars-Sinai Medical Center, Los Angeles, CA, United States.

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概括

一种新的AI方法从胸部CT扫描中估计左心室喷射率 (LVEF). 这种AI衍生的LVEF准确预测心力衰竭和死亡风险,显示出广泛的临床潜力.

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科学领域:

  • 医疗成像中的人工智能
  • 心血管成像和诊断系统
  • 放射学和计算机病理学

背景情况:

  • 左心室喷射率 (LVEF) 是心脏功能的一个关键指标.
  • 传统的LVEF评估需要专门的,封闭式心脏成像.
  • 需要可访问的方法来从常规成像中估计LVEF.

研究的目的:

  • 开发和验证一种新型的人工智能 (AI) 方法,用于从未完成的胸部CT扫描中估计LVEF.
  • 评估AI衍生LVEF (AI LVEF) 与已建立的心脏成像模式的相关性.
  • 评估AI LVEF在预测不良心血管结果中的预后价值.

主要方法:

  • 一个25852名患者的多中心注册表被用于训练和验证AI模型.
  • 人工智能LVEF与3D封闭正子发射断层扫描 (PET) 和心声回声扫描进行了比较.
  • 评估AI LVEF的预后能力是在一个单独的队列中对24,054名肺部CT扫描患者进行评估的.

主要成果:

  • 人工智能LVEF与3D封闭PET (r=0.84) 显示出强烈的相关性.
  • 人工智能模型实现了0.96的AUC来检测降低LVEF (<40%) 与95%的NPV.
  • 减少AI LVEF显著与心力衰竭,心血管死亡 (HR 13.3) 和全因死亡率的风险增加有关.

结论:

  • 人工智能可以通过低剂量胸部CT扫描,无对比度,无标记度准确估计LVEF.
  • AI LVEF有效地对患者进行了心力衰竭和死亡风险的分层.
  • 这种人工智能方法在心血管评估中具有广泛临床应用的巨大潜力.