基于人工智能的自动左心室质量量定量从非对比心脏CT扫描:与对比CT和心脏MRI的相关性
Donghee Han1, Aakash Shanbhag1,2, Robert Jh Miller1,3
1Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences Cedars-Sinai Medical Center, Los Angeles, CA, USA.
medRxiv : the preprint server for health sciences
|January 23, 2024
概括
人工智能现在可以使用非对比CT扫描估计左心室心肌质量 (LV质量),与对比CT血管学和心脏MRI相对应. 这种AI方法为LV质量评估提供了一个可行的替代方案.
科学领域:
- 心血管成像 - 心血管成像
- 人工智能在医学中的应用
- 定量心脏分析 定量心脏分析
背景情况:
- 非对比计算断层扫描 (CT) 通常不用于左心室心肌质量 (LV质量) 评估.
- 标准方法用于LV质量评估包括对比CT和心血管磁共振成像 (MRI).
- 从非对比CT中评估LV质量可以提高诊断效率并减少对比剂的使用.
结论:
- 使用人工智能的非对比CT自动化LV质量估计是可行的,并且非常准确.
- 这种人工智能方法提供了与已建立的对比CTA和心脏MRI方法相提并论的结果.
- 非对比CT与AI为LV质量量定量提供了一个有希望的,潜在的无对比替代方案.
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