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Chronic Total Occlusion Interventions: Update on Current Tips and Tricks.
Tajti, Peter; Xenogiannis, Iosif; Karmpaliotis, Dimitris; Alaswad, Khaldoon; Jaffer, Farouc A; Nicholas Burke, M; Ungi, Imre; Brilakis, Emmanouil S.
Afiliação
  • Tajti P; Minneapolis Heart Institute, Abbott Northwestern Hospital, 920 E 28th Street #300, Minneapolis, MN, 55407, USA.
  • Xenogiannis I; Department of Invasive Cardiology, Second Department of Internal Medicine and Cardiology Center, Univeristy of Szeged, Szeged, Hungary.
  • Karmpaliotis D; Minneapolis Heart Institute, Abbott Northwestern Hospital, 920 E 28th Street #300, Minneapolis, MN, 55407, USA.
  • Alaswad K; Columbia University, New York, NY, USA.
  • Jaffer FA; Henry Ford Hospital, Detroit, MI, USA.
  • Nicholas Burke M; Massachussetts General Hospital, Boston, MA, USA.
  • Ungi I; Minneapolis Heart Institute, Abbott Northwestern Hospital, 920 E 28th Street #300, Minneapolis, MN, 55407, USA.
  • Brilakis ES; Department of Invasive Cardiology, Second Department of Internal Medicine and Cardiology Center, Univeristy of Szeged, Szeged, Hungary.
Curr Cardiol Rep ; 20(12): 141, 2018 10 22.
Article em En | MEDLINE | ID: mdl-30350111
PURPOSE OF REVIEW: To summarize novel techniques and developments in chronic total occlusion (CTO) percutaneous coronary intervention (PCI). RECENT FINDINGS: Using an algorithmic, step-by-step approach can help overcome several complex CTO lesions subsets, such as proximal cap ambiguity, ostial location, in-stent occlusion, bifurcations, balloon uncrossable and undilatable lesions. Similarly, an algorithmic approach can help prevent and optimally treat CTO PCI-related complication, such as perforation, radiation, and contrast-induced nephropathy. Continual update and reassessment of each operator's algorithm for performing CTO PCI can lead to improved outcomes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article