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Aortic Distensibility Measured by Automated Analysis of Magnetic Resonance Imaging Predicts Adverse Cardiovascular Events in UK Biobank.
Cecelja, Marina; Ruijsink, Bram; Puyol-Antón, Esther; Li, Ye; Godwin, Harriet; King, Andrew P; Razavi, Reza; Chowienczyk, Phil.
Afiliação
  • Cecelja M; King's College London British Heart Foundation Centre, Department of Clinical Pharmacology St Thomas' Hospital London United Kingdom.
  • Ruijsink B; School of Bioengineering and Imaging Sciences King's College London London United Kingdom.
  • Puyol-Antón E; School of Bioengineering and Imaging Sciences King's College London London United Kingdom.
  • Li Y; King's College London British Heart Foundation Centre, Department of Clinical Pharmacology St Thomas' Hospital London United Kingdom.
  • Godwin H; King's College London British Heart Foundation Centre School of Cardiovascular Medicine & Sciences, Department of Cardiology London United Kingdom.
  • King AP; School of Bioengineering and Imaging Sciences King's College London London United Kingdom.
  • Razavi R; School of Bioengineering and Imaging Sciences King's College London London United Kingdom.
  • Chowienczyk P; King's College London British Heart Foundation Centre, Department of Clinical Pharmacology St Thomas' Hospital London United Kingdom.
J Am Heart Assoc ; 11(23): e026361, 2022 12 06.
Article em En | MEDLINE | ID: mdl-36444831
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Doenças Cardiovasculares Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans País como assunto: Europa Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Doenças Cardiovasculares Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans País como assunto: Europa Idioma: En Ano de publicação: 2022 Tipo de documento: Article