天津医药

天津医药 ›› 2015, Vol. 43 ›› Issue (6): 677-680.doi: 10.11958/j.issn.0253-9896.2015.06.027

• 诊断技术 • 上一篇    下一篇

超声评价影像流程图预测右室起搏电极间隔定位的价值#br#

刘晓罡 1， 吴冬燕 2， 许静 2   

  1. 1天津医科大学研究生院 （邮编 300070）； 2天津市胸科医院心内科
  • 收稿日期:2014-11-26 修回日期:2015-03-12 出版日期:2015-06-15 发布日期:2015-06-10
  • 通讯作者: 许静 E-mail:ldcj08060124@163.com
  • 基金资助:
    天津市卫生局科技基金 （2010KZ62）

Predictive values of radiology algorithm that was developed by two dimensional  echocardiography in identifying the site of Leads

LIU Xiaogang1, WU Dongyan2, XU Jing2   

  1. 1Graduate School of Tianjin Medical University,Tianjin 300070,China;2 Department of Cardiology,Tianjin Chest Hospital
  • Received:2014-11-26 Revised:2015-03-12 Published:2015-06-15 Online:2015-06-10

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摘要： 目的 制定预测右室电极定位的影像流程图并检测其敏感性及特异性， 以提高间隔起搏定位的准确率。方法 入选 100 例于我院行双腔起搏器安置术的患者， 以超声定位电极位置为金标准， 分为右室流出道（ROVT）间隔组、 ROVT 前壁组、 中间隔组及前间隔组 （间隔与前壁夹角）。利用左前斜 45°（LAO45°）及右前斜 30°（RAO30°）影像的表现， 分析 4 组患者电极影像特点， 同时制定影像流程图并检测流程图的敏感性及特异性， 总结间隔定位的影像学特点。结果 流程图对预测各部位电极定位有较高的敏感性及特异性， 分别为 90%及 97%。同时阳性预测值（PPV） 及阴性预测值 （NPV） 也较高， 分别为 90%和 97%。结论 本研究制定的影像流程图对间隔定位的预测有较高的敏感性及特异性。

关键词: 室间隔, 心脏起搏, 人工, 超声心动描记术, X 线透视检查, 影像流程图

Abstract: Objective To develop a radiology algorithm and test its the accuracy in distinguish pacing in the septum from the other parts. Methods One hundred patients were implanted with double-chamber pacemakers. Sites of the leads were verified by two-dimensional echocardiography, and the patients were divided into 4 groups according to the echocardiography: septal right ventricular outflow tract group(RVOT), RVOT anterior free wall group, mid septum group, and anteri⁃
or septum group (near to the anterior free wall ). An algorithm was developed according to radiological characteristics in the 45°left anterior oblique (LAO45°) view and the 30° right anterior oblique (RAO30°) view. Then its sensitivity, specificity,positive predictive value (PPV) and negative predictive value (NPV) were tested . Results The algorithm has high sensitivity and specificity, which were 90% and 97% respectively. The positive predictive value and negative predictive value were 90% and 97% respectively. Conclusion The radiology algorithm we developed have a high sensitivity and specificity in identifying the site of the leads.

Key words: ventricular septum, cardiac pacing, artificial, echocardiography, fluoroscopy, radiology algorithm