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人工智能提高了通过胸部X射线扫描来检测和分类与左心室扩张功能障碍相关的肺静脉高血压

Richard D White^1,2,3, Mutlu Demirer⁴, Ronnie A Sebro⁴

¹Division of Augmented Intelligence in Imaging, Mayo Clinic Florida, Jacksonville, FL, USA. white.richard1@mayo.edu.

Scientific reports

|November 1, 2025

概括

胸部X射线上肺静脉高血压的分期显示了早期左心室扩张功能障碍检测的前景. 人工智能辅助分析可能会改善对这种心力衰竭前体的客观查.

科学领域:

心脏病学心脏病学
放射学放射学是一门学科.
人工智能的人工智能

背景情况:

隔离左心室扩张功能障碍 (LVDD) 可以发展为心力衰竭 (HF),需要早期检测.
目前的早期HF查方法有限,突出了胸部X射线 (CXRs) 的潜力.
肺静脉高血压 (PVH) 在CXR上对LVDD检测的分期尚未确立.

研究的目的:

为了将基于CXR的PVH分期与基于多普勒心声学 (DEcho) 的LVDD分级在没有缩功能障碍的患者中进行比较.
通过放射学家评估PVH分期的内部/间读者变异性.
用PVH分期来评估人工智能模型在预测LVDD等级方面的性能.

主要方法:

1682名受试者 (750名无症状/健康) 在24小时内接受了CXR和DEcho.
四名心胸放射科医生为PVH分期分配了肺血管图案 (PVPs).
一个人工智能模型预测了PVH排名,与LVDD等级 (0-3/4) 相对应.

主要成果:

放射科医生分配显示了经验依赖的可靠性,但具有显著的整体一致性 (p < 0.001).
增加的PVH阶段与增加的LVDD等级有显著的相关性 (p < 0.001).
人工智能辅助的PVH排名显示,与人类分期相比,LVDD分级 (p < 0.001) 的积极趋势更强.

结论:

基于CXR的PVH分期显示了LVDD检测的潜力,尽管存在人类读者变异性.
人工智能辅助的PVH排名可能通过CXR提供一种更客观和可扩展的方法,用于通过CXR进行早期LVDD查.
人工智能可以促进广泛的客观CXR查LVDD,HF的前体.

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