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Development of standardized image interpretation for 68Ga-PSMA PET/CT to detect prostate cancer recurrent lesions

After primary treatment, biochemical relapse (BCR) occurs in a substantial number of patients with prostate cancer (PCa). PET/CT imaging with prostate-specific membrane antigen based tracers (68Ga-PSMA) has shown promising results for BCR patients. However, a standardized image interpretation method...

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Bibliographic Details
Main Authors: Fanti, Stefano (Author) , Giesel, Frederik L. (Author) , Haberkorn, Uwe (Author)
Format: Article (Journal)
Language:English
Published: September 2017
In: European journal of nuclear medicine and molecular imaging
Year: 2017, Volume: 44, Issue: 10, Pages: 1622-1635
ISSN:1619-7089
DOI:10.1007/s00259-017-3725-1
Online Access:Resolving-System, Volltext: http://dx.doi.org/10.1007/s00259-017-3725-1
Verlag, Volltext: https://link.springer.com/article/10.1007%2Fs00259-017-3725-1
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Author Notes:Stefano Fanti, Silvia Minozzi, Joshua James Morigi, Frederik Giesel, Francesco Ceci, Christian Uprimny, Michael S. Hofman, Matthias Eiber, Sarah Schwarzenbock, Paolo Castellucci, Cristina Bellisario, Stéphane Chauvie, Fabrizio Bergesio, Louise Emmett, Uwe Haberkorn, Irene Virgolini, Markus Schwaiger, Rodney J. Hicks, Bernd J. Krause, Arturo Chiti
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Summary:After primary treatment, biochemical relapse (BCR) occurs in a substantial number of patients with prostate cancer (PCa). PET/CT imaging with prostate-specific membrane antigen based tracers (68Ga-PSMA) has shown promising results for BCR patients. However, a standardized image interpretation methodology has yet to be properly agreed. The aim of this study, which was promoted and funded by European Association of Nuclear Medicine (EANM), is to define standardized image interpretation criteria for 68Ga-PSMA PET/CT to detect recurrent PCa lesions in patients treated with primary curative intent therapy (radical prostatectomy or radiotherapy) who presented a biochemical recurrence.
Item Description:Gesehen am 22.11.2018
Physical Description:Online Resource
ISSN:1619-7089
DOI:10.1007/s00259-017-3725-1

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