38,858名英国生物库参与者的心脏形状,功能和疾病之间的关系
Richard Burns1, Laura Dal Toso2, Charlène A Mauger3
1School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK; William Harvey Research Institute, Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK.
概括
通过心血管磁共振 (CMR) 进行新的心形状分析,揭示了标准指标所忽略的疾病模式. 这些先进的形状和运动分数为各种心血管和心脏代谢疾病提供了卓越的歧视.
科学领域:
- 心脏病学 心脏病学
- 医疗成像医学成像
- 生物医学工程 生物医学工程
背景情况:
- 标准的心脏功能指标,如射出分数,应变和门外出,是至关重要的,但忽略了心血管磁共振 (CMR) 的详细缩形状变化.
- 英国生物银行数据为探索新型心脏分析技术提供了大量队列.
研究的目的:
- 来自CMR数据自动量化多维心脏形状和运动得分.
- 调查这些分数与共变量之间的关联.
- 为了比较新型形状得分的疾病歧视能力与传统的功能指标.
主要方法:
- 开发了一个自动化管道,从38858名英国生物库参与者的CMR图像中生成3D左心室和右心室形状模型.
- 利用主要组件分析创建统计形状图谱并量化心室形状在终端透气和终端抽缩.
- 从形状模型和使用线性差异分析评估的疾病歧视中计算的缩应变和额头/三圆形平面缩外流 (MAPSE/TAPSE).
主要成果:
- 前25个主要组件分数解释了90%以上的心脏形状变异.
- 与传统指标相比,形状得分对心房动,心力衰竭,糖尿病,缺血病和导电障碍进行了显著更强的歧视 (p<0.001).
- 这包括体积,射出分数,应变,MAPSE和TAPSE.
结论:
- 来自CMR的自动形状和运动z-score提供了对心脏功能的更全面的评估.
- 这些新的分数捕获了有关心血管和心脏代谢疾病的重要歧视性信息.
- 基于形状的分析对疾病检测的传统功能指标来说是一个强大的进步.
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