从四维计算机断层扫描中减少左心房应变,预测在去除后心房的复发
Noah J Mehringer1, Rishabh Thapliyal2, Aaron Park3
1Department of Bioengineering, University of California, San Diego, La Jolla, California.
Heart rhythm
|December 18, 2025
概括
使用4DCT进行左心房应变分析,改善了心房动消化成功的预测. 减少应变,特别是在下壁,表明在导管切除后复发的风险更高.
科学领域:
- 心脏病学 心脏病学
- 医疗成像医学成像
- 计算生物学 计算生物学
背景情况:
- 目前使用临床病史和心脏成像来预测心房动 (AF) 除成功的模型是不够的.
- 通过四维计算机断层扫描 (4DCT) 测量左心房 (LA) 的局部应变显示了增强这些预测模型的前景.
研究的目的:
- 为了确定来自4DCT的局部LA菌株是否提高了AF复发模型的预测准确性.
- 研究区域LA菌株对预测废除结果的独立贡献.
主要方法:
- 从261名AF患者的预ABlation4DCT扫描进行了回顾性分析.
- 在24个LA壁段中自动计算LA体积细分和内心应变.
- 机器学习模型在LA菌株,人口统计和临床数据上进行训练,以预测12个月AF复发.
主要成果:
- 将24个细分区域LA菌株纳入其中,使ROC曲线下预测AF复发的区域从0.738提高到0.813.
- 较低的下面壁应变与较差的废除结果有显著的相关性 (P < .01).
- 持久性AF和先前的废除史与区域LA菌株的减少有关,相比之下,分别是阳性AF和第一次废除 (P < .01).
结论:
- 区域LA菌株分析提供了导管切除后AF复发的独立预测价值.
- 在不同患者亚组中存在LA菌株的明显空间模式.
- 较弱的下壁运动的预移评估是不利的移除结果的关键预测因素.
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