目前的脏缩问题以及突破该阶段的希望
Xinyu Hu1,2, Hao Zhou1,3, Weijie Chen1,3
1Department of Cardiology, The Second Affiliated Hospital of Chongqing Medical University, No. 288 Tianwen Avenue, Nan'an District, Chongqing, China.
概括
由于患者的选择不佳,脏缩 (RDN) 显示出不同的血压反应. 将3D绘图与神经刺激 (RNS) 结合起来,可以提高RDN的准确性和患者的治疗结果.
科学领域:
- 心血管医学 心血管医学
- 干预心脏病学 干预心脏病学
背景情况:
- 脏缺血 (RDN) 的疗效受到患者异质反应的限制.
- 缺乏精确的患者选择和干预终点检测阻碍了RDN的成功.
研究的目的:
- 为了确定适合RDN的患者的特征.
- 提出方法来提高 RDN 程序的准确性和选择性.
主要方法:
- 对患者特征进行评估,以获得最佳的RDN候选.
- 整合3D电解剖绘图系统用于动脉.
- 修改神经刺激 (RNS) 技术的应用.
主要成果:
- 建议使用3D映射和RNS指导RDN的综合方法.
- 这种方法旨在提高射频导管切除的精度.
结论:
- 准确的患者选择对于成功的RDN至关重要.
- 与RNS相结合的3D电解剖绘图为临床实践中选择性和准确的RDN提供了一个有前途的战略.
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