Real Time Three Dimensional Transesophageal Echocardiography for Guidance of Catheter Based Interventions

  • Miguel Angel Garcia Fernandez
  • Gila Perk
  • Muhamed Saric
  • Itzhak Kronzon
Chapter

Abstract

Over the recent years, percutaneous catheter-based intracardiac procedures have gained growing acceptance into the cardiac procedural armamentarium allowing treatment of increasingly complex cardiac pathologies via a non surgical, catheter based approach. 1–6 Guidance of these procedures is usually by fluoroscopy. However, this technique has limited resolution for soft tissue differentiation, and involves radiation exposure as well as occasional iodinated contrast injection. Other guiding techniques include intracardiac echocardiography or transesophageal 2DE.7–14 Intracardiac echocardiography is a useful, yet invasive and expensive technique. The disposable ultrasound catheter is inserted via a central venous approach and is for single-use only. Additionally, intracardiac echocardiography transducers are limited monoplane transducers and allow only several imaging planes. Transesophageal 2DE is commonly used for guiding purposes, however it has several limitations. The main limitation of transesophageal 2DE is related to the tomographic nature of this imaging technique. Since only a “slice” of the heart is imaged at any given view, intra-cardiac catheters cannot be fully visualized without acquisition from multiple imaging planes, which may be time consuming and distracting during a procedure. The relative location of an intra-cardiac catheter and the surrounding anatomical structures can be challenging with a two-dimensional tomographic view, especially for the interventionalist who may be less familiar with the various transesophageal echocardiographic planes.

Keywords

Atrial Septal Defect Ventricular Septal Defect Left Atrial Appendage Color Doppler Imaging Interatrial Septum 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer London 2010

Authors and Affiliations

  • Miguel Angel Garcia Fernandez
  • Gila Perk
  • Muhamed Saric
  • Itzhak Kronzon
    • 1
  1. 1.NYU School of MedicineNew YorkUSA

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