MRI and 11C acetate PET/CT for prediction of regional lymph node metastasis in newly diagnosed prostate cancer Cover

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MRI and 11C acetate PET/CT for prediction of regional lymph node metastasis in newly diagnosed prostate cancer

Radiology and Oncology

Volume 52 (2018): Issue 1 (March 2018)

By: Catrin von Below, Cecilia Wassberg, Rafael Grzegorek, Joel Kullberg, Charlotta Gestblom, Jens Sörensen, Mauritz Waldén and Håkan Ahlström

Open Access

|Jan 2018

Authors

Catrin von Below

Department of Surgical Sciences/Radiology, Uppsala University, Uppsala, Sweden

Cecilia Wassberg

Department of Surgical Sciences/Radiology, Uppsala University, Uppsala, Sweden

Rafael Grzegorek

Department of Urology, Centralsjukhuset Karlstad, Karlstad, Sweden

Joel Kullberg

Department of Surgical Sciences/Radiology, Uppsala University, Uppsala, Sweden

Antaros Medical AB, Mölndal, Sweden

Charlotta Gestblom

Department of Pathology, Centralsjukhuset Karlstad, Karlstad, Sweden

Jens Sörensen

Department of Surgical Sciences/Radiology, Uppsala University, Uppsala, Sweden

Mauritz Waldén

Department of Urology, Centralsjukhuset Karlstad, Karlstad, Sweden

Håkan Ahlström

hakan.ahlstrom@akademiska.se

Department of Surgical Sciences/Radiology, Uppsala University, Uppsala, Sweden

Antaros Medical AB, Mölndal, Sweden

DOI: https://doi.org/10.2478/raon-2018-0001 | Journal eISSN: 1581-3207 | Journal ISSN: 1318-2099

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Language: English

Page range: 90 - 97

Submitted on: Aug 31, 2017

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Accepted on: Nov 15, 2017

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Published on: Jan 24, 2018

Published by: Association of Radiology and Oncology

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

prostatic neoplasm,

lymph node excision,

diffusion magnetic resonance imaging,

positronemission tomography

Related subjects:

Clinical medicine,

Internal medicine,

Haematology, oncology,

© 2018 Catrin von Below, Cecilia Wassberg, Rafael Grzegorek, Joel Kullberg, Charlotta Gestblom, Jens Sörensen, Mauritz Waldén, Håkan Ahlström, published by Association of Radiology and Oncology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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