Convolutional neural networks for prostate cancer recurrence prediction

2017 ◽  
Author(s):  
Neeraj Kumar ◽  
Ruchika Verma ◽  
Ashish Arora ◽  
Abhay Kumar ◽  
Sanchit Gupta ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Cancer Recurrence ◽  
Recurrence Prediction ◽  
Prostate Cancer Recurrence

UP.81: Early Prostate Cancer Recurrence Prediction Following HIFU Treatment Using AMACR and PSA Immunohistochemical Evaluation

Urology ◽  
2008 ◽  
Vol 72 (5) ◽  
pp. S135-S136
Author(s):  
P. Shestiperov ◽  
Y. Alyaev ◽  
E. Kogan ◽  
A. Amosov ◽  
E. Bezrukov ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Recurrence ◽  
Hifu Treatment ◽  
Early Prostate Cancer ◽  
Recurrence Prediction ◽  
Prostate Cancer Recurrence

Krebstherapie – 68Ga-PSMA-PET/CT beim rezidivierten Prostatakarzinom richtungweisend und kosteneffektiv

2020 ◽  
Vol 25 (04) ◽  
pp. 184-185
Author(s):  
Susanne Krome
Keyword(s):  
Prostate Cancer ◽  
Cancer Recurrence ◽  
Intention To Treat ◽  
Biochemisches Rezidiv ◽  
Choline Pet ◽  
Psma Pet ◽  
Pet Ct ◽  
Prostate Cancer Recurrence ◽  
Treat Analysis

Schwenck J et al. Intention-to-Treat Analysis of 68Ga-PSMA and 11C-Choline PET/CT Versus CT for Prostate Cancer Recurrence After Surgery. J Nucl Med 2019; 60: 1359–1365 15–40 % der Patienten mit einem Prostatakarzinom erleiden postoperativ ein biochemisches Rezidiv. In der retrospektiven Analyse beeinflussten die Bildgebungsverfahren die Häufigkeit einer richtigen Therapiewahl. Die Autoren empfehlen die 68Ga-PSMA-PET/CT, die die höchste Genauigkeit aufwies. Unter Berücksichtigung der Kosten für inadäquate Behandlungen entstünden keine ökonomischen Nachteile.

910 CAVEOLIN-1 OVEREXPRESSION IS ASSOCIATED WITH AGGRESSIVE PROSTATE CANCER RECURRENCE

2007 ◽  
Vol 6 (2) ◽  
pp. 250
Author(s):  
S. Shariat ◽  
J. Karam ◽  
R. Ashfaq ◽  
P. Karakiewicz ◽  
C. Roehrborn
Keyword(s):  
Prostate Cancer ◽  
Cancer Recurrence ◽  
Aggressive Prostate Cancer ◽  
Caveolin 1 ◽  
Prostate Cancer Recurrence
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