Literature DB >> 20403526

Imaging for transcatheter valve procedures.

Samir R Kapadia, Paul Schoenhagen, William Stewart, E Murat Tuzcu.   

Abstract

Percutaneous intervention for valvular heart disease is becoming a reality and is one of the fastest growing fields in interventional cardiology. As exposure and visualization are critical for surgical repair or replacement, adequate imaging is crucial for transcatheter interventions where direct visualization is not possible. X-ray and ultrasound are the fundamental modalities for imaging in this situation, although magnetic resonance related imaging is under development. In this review, we describe the use of fluoroscopic, computed tomographic, and echo imaging for rapidly evolving percutaneous valve technologies with a focus on providing clinical pearls and perspective on each imaging tool. Copyright 2010 Mosby, Inc. All rights reserved.

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Year:  2010        PMID: 20403526     DOI: 10.1016/j.cpcardiol.2010.01.002

Source DB:  PubMed          Journal:  Curr Probl Cardiol        ISSN: 0146-2806            Impact factor:   5.200


  4 in total

1.  Optimization of acquisition and contrast injection protocol for C-arm CT imaging in transcatheter aortic valve implantation: initial experience in a swine model.

Authors:  Uma D Numburi; Samir R Kapadia; Paul Schoenhagen; E Murat Tuzcu; Martin von Roden; Sandra S Halliburton
Journal:  Int J Cardiovasc Imaging       Date:  2012-06-20       Impact factor: 2.357

Review 2.  In vivo imaging and computational analysis of the aortic root. Application in clinical research and design of transcatheter aortic valve systems.

Authors:  Paul Schoenhagen; Alexander Hill; Tim Kelley; Zoran Popovic; Sandra S Halliburton
Journal:  J Cardiovasc Transl Res       Date:  2011-04-12       Impact factor: 4.132

Review 3.  Role of computed tomography imaging for transcatheter valvular repair/insertion.

Authors:  See Hooi Ewe; Robert J Klautz; Martin J Schalij; Victoria Delgado
Journal:  Int J Cardiovasc Imaging       Date:  2011-02-26       Impact factor: 2.357

4.  A CT-based technique to predict optimal projection for self-expanding TAVI in patients with different aortic valve anatomies.

Authors:  Xi Wang; Fei Chen; Tian-Yuan Xiong; Yi-Jian Li; Yuan-Weixiang Ou; Qiao Li; Yong Peng; Jia-Fu Wei; Sen He; Mao Chen; Yuan Feng
Journal:  BMC Cardiovasc Disord       Date:  2021-12-07       Impact factor: 2.298

  4 in total

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