USE OF NEURAL NETWORK SIMULATION TO MONITOR PATIENTS UNDERGOING RADICAL PROSTATECTOMY
https://doi.org/10.17650/1726-9776-2011-7-4-67-70
Abstract
Prostate cancer (PC) is the most common malignancy in men. A screening system identifies a tumor process at clinical stages. Current technologies allow one to create nomograms — neural network systems that determine 5-year survival, extracapsular extension, and seminal vesicle lesions and actively monitor patients undergoing radical prostatectomy. Based on neural network simulation, the Department of Urology, Russian Medical Academy of Postgraduate Education, has developed an accounting prognostic system to monitor the postoperative course of PC, which is being actively introduced into the work of the urological units of the Botkin City Clinical Hospital.
About the Authors
I. V. Lukyanov
Department of Urology and Surgical Andrology, Russian Medical Academy of Postgraduate Education, Moscow
Russian Federation
Russian Federation
N. A. Demchenko
Department of Urology and Surgical Andrology, Russian Medical Academy of Postgraduate Education, Moscow
Russian Federation
Russian Federation
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Review
For citations:
Lukyanov I.V., Demchenko N.A. USE OF NEURAL NETWORK SIMULATION TO MONITOR PATIENTS UNDERGOING RADICAL PROSTATECTOMY. Cancer Urology. 2011;7(4):67-70. (In Russ.) https://doi.org/10.17650/1726-9776-2011-7-4-67-70
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