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Computed high-b-value high-resolution DWI improves solid lesion detection in IPMN of the pancreas.
Harder, Felix N; Jung, Eva; Weiss, Kilian; Graf, Markus M; Kamal, Omar; McTavish, Sean; Van, Anh T; Demir, Ihsan E; Friess, Helmut; Phillip, Veit; Schmid, Roland M; Lohöfer, Fabian K; Kaissis, Georgios A; Makowski, Marcus R; Karampinos, Dimitrios C; Braren, Rickmer F.
Afiliação
  • Harder FN; Institute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany. Felix.Harder@tum.de.
  • Jung E; Institute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany.
  • Weiss K; Philips GmbH Market DACH, Röntgenstrasse 22, 22335, Hamburg, Germany.
  • Graf MM; Institute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany.
  • Kamal O; Institute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany.
  • McTavish S; Institute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany.
  • Van AT; Institute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany.
  • Demir IE; Department of Surgery, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Munich, Germany.
  • Friess H; Department of Medicine II, University Hospital Rechts Der Isar, Technical University Munich, Munich, Germany.
  • Phillip V; Department of Medicine II, University Hospital Rechts Der Isar, Technical University Munich, Munich, Germany.
  • Schmid RM; Department of Medicine II, University Hospital Rechts Der Isar, Technical University Munich, Munich, Germany.
  • Lohöfer FK; Institute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany.
  • Kaissis GA; Institute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany.
  • Makowski MR; Department of Computing, Faculty of Engineering, Imperial College of Science, Technology and Medicine, London, SW7 2AZ, UK.
  • Karampinos DC; Institute for Artificial Intelligence in Medicine, Technical University of Munich, Munich, Germany.
  • Braren RF; Institute of Diagnostic and Interventional Radiology, Technical University of Munich, School of Medicine, Munich, Germany.
Eur Radiol ; 33(10): 6892-6901, 2023 Oct.
Article em En | MEDLINE | ID: mdl-37133518
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Neoplasias Intraductais Pancreáticas Tipo de estudo: Diagnostic_studies / Observational_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas / Neoplasias Intraductais Pancreáticas Tipo de estudo: Diagnostic_studies / Observational_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Eur Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha