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Predicting Glioblastoma Recurrence from Preoperative MR Scans Using Fractional-Anisotropy Maps with Free-Water Suppression.
Metz, Marie-Christin; Molina-Romero, Miguel; Lipkova, Jana; Gempt, Jens; Liesche-Starnecker, Friederike; Eichinger, Paul; Grundl, Lioba; Menze, Bjoern; Combs, Stephanie E; Zimmer, Claus; Wiestler, Benedikt.
Afiliação
  • Metz MC; Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany.
  • Molina-Romero M; Image-Based Biomedical Modeling, Chair for Computer Aided Medical Procedures & Augmented Reality, Technical University of Munich, 85748 Garching, Germany.
  • Lipkova J; Image-Based Biomedical Modeling, Chair for Computer Aided Medical Procedures & Augmented Reality, Technical University of Munich, 85748 Garching, Germany.
  • Gempt J; Department of Neurosurgery, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany.
  • Liesche-Starnecker F; Department of Neuropathology, Institute of Pathology, Technical University of Munich, 81675 Munich, Germany.
  • Eichinger P; Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany.
  • Grundl L; Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany.
  • Menze B; Image-Based Biomedical Modeling, Chair for Computer Aided Medical Procedures & Augmented Reality, Technical University of Munich, 85748 Garching, Germany.
  • Combs SE; Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany.
  • Zimmer C; Institute of Innovative Radiotherapy, Helmholtz Zentrum Munich, 85764 Munich, Germany.
  • Wiestler B; German Cancer Consortium (DKTK), partner site Munich; and German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Cancers (Basel) ; 12(3)2020 Mar 19.
Article em En | MEDLINE | ID: mdl-32204544
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article