Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ali Janbain"'
Autor:
Ali Janbain, Andrea Farolfi, Armelle Guenegou-Arnoux, Louis Romengas, Sophia Scharl, Stefano Fanti, Francesca Serani, Jan C Peeken, Sandrine Katsahian, Iosif Strouthos, Konstantinos Ferentinos, Stefan A Koerber, Marco E Vogel, Stephanie E Combs, Alexis Vrachimis, Alessio Giuseppe Morganti, Simon KB Spohn, Anca-Ligia Grosu, Francesco Ceci, Christoph Henkenberens, Stephanie GC Kroeze, Matthias Guckenberger, Claus Belka, Peter Bartenstein, George Hruby, Louise Emmett, Ali Afshar Omerieh, Nina-Sophie Schmidt-Hegemann, Lucas Mose, Daniel M Aebersold, Constantinos Zamboglou, Thomas Wiegel, Mohamed Shelan
Publikováno v:
JMIR Cancer, Vol 10, p e60323 (2024)
BackgroundSalvage radiation therapy (sRT) is often the sole curative option in patients with biochemical recurrence after radical prostatectomy. After sRT, we developed and validated a nomogram to predict freedom from biochemical failure. ObjectiveT
Externí odkaz:
https://doaj.org/article/fe6bedf76bf54251ba9f5c7f7dc3ac22
Autor:
Constantinos Zamboglou, Armelle Arnoux, Ali Janbain, Iosif Strouthos, Andrea Farolfi, Stefan Koerber, Jan Peeken, Marco Vogel, Konstantinos Ferentinos, Mohamed Shelan, Anca L. Grosu, Stephanie Kroeze, Matthias Guckenberger, Stefano Fanti, George Hruby, Sophia Scharl, Thomas Wiegel, Christoph Henkeberens, Louise Emmett, Nina-Sophie Hegemann
Publikováno v:
Journal of Clinical Oncology. 41:355-355
355 Background: We aimed to develop and to validate a multi-institutional nomogram of outcomes for PSMA-PET based salvage radiotherapy (sRT) following radical prostatectomy (RP) for patients with recurrent or persistent prostate cancer (PCa). Methods
Autor:
Robert Sabatier, Hassan Zeineddine, Christelle Reynes, Ali Janbain, Zainab Assaghir, Laurent Journot
Publikováno v:
NAR Genomics and Bioinformatics
NAR Genomics and Bioinformatics, 2021, 3 (4), pp.lqab103. ⟨10.1093/nargab/lqab103⟩
NAR Genomics and Bioinformatics, Oxford University Press, 2021, 3 (4), pp.lqab103. ⟨10.1093/nargab/lqab103⟩
NAR Genomics and Bioinformatics, 2021, 3 (4), pp.lqab103. ⟨10.1093/nargab/lqab103⟩
NAR Genomics and Bioinformatics, Oxford University Press, 2021, 3 (4), pp.lqab103. ⟨10.1093/nargab/lqab103⟩
A comprehensive, accurate functional annotation of genes is key to systems-level approaches. As functionally related genes tend to be co-expressed, one possible approach to identify functional modules or supplement existing gene annotations is to ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cd67c621ff7661f262538d33cb00b95
https://hal.science/hal-03434156/document
https://hal.science/hal-03434156/document