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左心室喷射分数报告变量和人工智能辅助可重现性:一个多中心分析

Yinghui Le1, Jiali Zhou1, Shuna Yang1

  • 1Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.

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人工智能 (AI) 显著提高了心脏MRI中左心室喷射率 (LVEF) 评估的效率和可重复性. 虽然存在个体变异,但人工智能是简化CMR量化的一个有价值的工具.

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人工智能的人工智能是人工智能.心血管磁共振是一种心血管磁共振.左心室喷射分数的部分.可靠性 可靠性可靠性可复制性 可复制性

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科学领域:

  • 心脏病学 心脏病学
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 人工智能 (AI) 在临床实践中越来越多地用于左心室喷射率 (LVEF) 评估.
  • 人工智能辅助的LVEF评估的现实世界,多中心验证至关重要.

研究的目的:

  • 评估人工智能辅助LVEF评估的可靠性和可重复性.
  • 在多元化的多中心环境中,将人工智能辅助的LVEF评估与手动方法进行比较.

主要方法:

  • 354个心脏MRI (CMR) 检查的回顾性多中心研究.
  • 使用QMass 8.1.1.使用人工智能衍生的LVEF (R-LVEF) 与手动重新评估 (M-LVEF) 的比较.
  • 手动和人工智能辅助模式的观察者间和观察者内部可重现性分析.

主要成果:

  • 在R-LVEF和M-LVEF之间具有良好的至优良的一致性 (ICC≥0.86),一致性极限超过±5%.
  • 人工智能辅助评估显著减少了LVEF计算时间.
  • 与手动分析相比,使用人工智能辅助方法的可复制性优越 (观察者之间更高的ICC,观察者内部更高的可复制性).

结论:

  • 人工智能辅助的LVEF评估在效率和可重复性方面显示出显著的优势.
  • 尽管存在个体差异,但人工智能是促进CMR量化的一个有价值的工具.
  • 人工智能增强了心脏MRI用于LVEF确定的临床实用性.