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68Ga-PSMA PET/CT Imaging Predicting Intraprostatic Tumor Extent, Extracapsular Extension and Seminal Vesicle Invasion Prior to Radical Prostatectomy in Patients with Prostate Cancer.
von Klot, Christoph-Alexander J; Merseburger, Axel S; Böker, Alena; Schmuck, Sebastian; Ross, Tobias L; Bengel, Frank M; Kuczyk, Markus A; Henkenberens, Christoph; Christiansen, Hans; Wester, Hans-Jürgen; Solass, Wiebke; Lafos, Marcel; Derlin, Thorsten.
Afiliación
  • von Klot CJ; Department of Urology and Urological Oncology, Hannover Medical School, Hannover, Germany.
  • Merseburger AS; Department of Urology, Campus Lübeck University Hospital Schleswig-Holstein, Lübeck, Germany.
  • Böker A; Department of Urology and Urological Oncology, Hannover Medical School, Hannover, Germany.
  • Schmuck S; Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany.
  • Ross TL; Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany.
  • Bengel FM; Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany.
  • Kuczyk MA; Department of Urology and Urological Oncology, Hannover Medical School, Hannover, Germany.
  • Henkenberens C; Department of Radiation Oncology, Hannover Medical School, Hannover, Germany.
  • Christiansen H; Department of Radiation Oncology, Hannover Medical School, Hannover, Germany.
  • Wester HJ; Radiopharmaceutical Chemistry, Technical University Munich, Garching, Germany.
  • Solass W; Institute for Pathology, Hannover Medical School, Hannover, Germany.
  • Lafos M; Institute for Pathology, Hannover Medical School, Hannover, Germany.
  • Derlin T; Department of Nuclear Medicine, Hannover Medical School, Hannover, Germany.
Nucl Med Mol Imaging ; 51(4): 314-322, 2017 Dec.
Article en En | MEDLINE | ID: mdl-29242725

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Nucl Med Mol Imaging Año: 2017 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Nucl Med Mol Imaging Año: 2017 Tipo del documento: Article País de afiliación: Alemania