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Implementing a standardized and symptom-oriented flowchart "Kielsflow" for advanced cardiac imaging in a 24/7 interdisciplinary emergency department using spectral CT.
Langguth, Patrick; Austein, Friederike; Campbell, Graeme M; Eden, Matthias; Schunk, Domagoj; Jansen, Olav; Both, Marcus; Salehi Ravesh, Mona.
Afiliação
  • Langguth P; Department for Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Campus Kiel, Germany. Electronic address: Patrick.Langguth@uksh.de.
  • Austein F; Department for Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
  • Campbell GM; Philips GmbH Healthcare Division, Hamburg, Germany.
  • Eden M; Department for Internal Medicine III, Molecular Cardiology and Angiology, University Hospital Schleswig-Holstein, Campus Kiel, Germany.
  • Schunk D; Department for Interdisciplinary Emergency, University Hospital Schleswig-Holstein, Campus Kiel, Germany.
  • Jansen O; Department for Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Campus Kiel, Germany.
  • Both M; Department for Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Campus Kiel, Germany.
  • Salehi Ravesh M; Department for Radiology and Neuroradiology, University Hospital Schleswig-Holstein, Campus Kiel, Germany.
Clin Imaging ; 78: 256-261, 2021 Oct.
Article em En | MEDLINE | ID: mdl-34171598
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Meios de Contraste Tipo de estudo: Diagnostic_studies / Guideline Limite: Humans Idioma: En Revista: Clin Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tomografia Computadorizada por Raios X / Meios de Contraste Tipo de estudo: Diagnostic_studies / Guideline Limite: Humans Idioma: En Revista: Clin Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2021 Tipo de documento: Article