Your browser doesn't support javascript.
loading
Virtual surgery to predict optimized conduit size for adult Fontan patients with 16-mm conduits.
Hut, Tjerry; Roest, Arno; Gaillard, Duco; Hazekamp, Mark; van den Boogaard, Pieter; Lamb, Hildo; Kroft, Lucia; Jongbloed, Monique; Westenberg, Jos; Wentzel, Jolanda; Rijnberg, Friso; Kenjeres, Sasa.
Afiliação
  • Hut T; Department of Chemical Engineering, Faculty of Applied Sciences, Delft University of Technology and J.M. Burgers Centrum Research School for Fluid Mechanics, Delft, Netherlands.
  • Roest A; Department of Pediatric Cardiology, Leiden University Medical Center, Leiden, Netherlands.
  • Gaillard D; Department of Chemical Engineering, Faculty of Applied Sciences, Delft University of Technology and J.M. Burgers Centrum Research School for Fluid Mechanics, Delft, Netherlands.
  • Hazekamp M; Department of Cardiothoracic Surgery, Leiden University Medical Center, Leiden, Netherlands.
  • van den Boogaard P; Department of Radiology, Leiden University Medical Center, Leiden, Netherlands.
  • Lamb H; Department of Radiology, Leiden University Medical Center, Leiden, Netherlands.
  • Kroft L; Department of Radiology, Leiden University Medical Center, Leiden, Netherlands.
  • Jongbloed M; Department of Cardiology and Anatomy & Embryology, Leiden University Medical Center, Leiden, Netherlands.
  • Westenberg J; Department of Radiology, Leiden University Medical Center, Leiden, Netherlands.
  • Wentzel J; Department of Cardiology, Biomechanical Engineering, Erasmus MC, Rotterdam, Netherlands.
  • Rijnberg F; Department of Cardiothoracic Surgery, Leiden University Medical Center, Leiden, Netherlands.
  • Kenjeres S; Department of Chemical Engineering, Faculty of Applied Sciences, Delft University of Technology and J.M. Burgers Centrum Research School for Fluid Mechanics, Delft, Netherlands.
Article em En | MEDLINE | ID: mdl-37522877

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article