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用人工智能驱动的纵向量化心脏粉样性酸吸收在心脏粉样性病:与多模式成像和结果的相关性
Robert Jh Miller1, Aakash Shanbhag2, Karan Shahi1
1Department of Cardiac Sciences, University of Calgary, Calgary AB, Canada.
概括
连续99m-technetium pyrophosphate (99mTc-PYP) 成像显示,它有望跟踪心脏粉样化症 (ATTR-CM) 治疗反应. 对99mTc-PYP扫描的深度学习分析与其他测量相关,并预测临床结果.
科学领域:
- 心脏病学 心脏病学
- 核医学就是核医学.
- 医疗成像医学成像
背景情况:
- 晶氨酸心肌粉症 (ATTR-CM) 是老年人心力衰竭的日益严重的原因.
- 现有和正在开发的疗法需要方法来评估治疗反应.
- 目前正在探索用于ATTR-CM管理的99m-technetium pyrophosphate (99mTc-PYP) 系列成像.
研究的目的:
- 评估基于深度学习的序列99mTc-PYP测量与ATTR-CM患者其他成像参数和临床结果的变化之间的关联.
- 确定定量99mTc-PYP指标是否可以作为治疗反应的替代终点.
主要方法:
- 对85名ATTR-CM患者进行了回顾性分析,其中至少有两次99mTc-PYP扫描.
- 深度学习方法用于从99mTc-PYP图像中量化心脏酸盐活性 (CPA) 和参与量 (VOI).
- 评估与心声学,心血管磁共振和实验室发现的相关性.
主要成果:
- 接受治疗的患者在VOI和CPA (P<0.001) 中显著降低,原生T1和细胞外体积的改善.
- 在CPA和本地T1 (ρ = 0.376,P = 0.009) 的变化之间观察到温和的相关性.
- 在随访期间增加的CPA与心血管死亡或HF住院的风险增加有关 (aHR: 2.31,P = 0.005).
结论:
- 序列定量99mTc-PYP测量与其他疾病负担指标相相关,如本地T1.1.
- 这些序列测量的变化与临床结果有关,这表明它们可能成为替代终点.
- 基于深度学习的99mTc-PYP量化为监测ATTR-CM治疗疗效提供了一个有前途的工具.
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