Genetic Adaptive Neural Network to Predict Biochemical Failure After Radical Prostatectomy: A Multi-institutional Study

摘要: Background and Purpose: Despite many new procedures, radical prostatectomy remains one of the commonest methods treating clinically localized prostate cancer. Both from physician's patient's point view, it is important to have objective estimation likelihood recurrence, which forms foundation for treatment selection an individual patient. Currently, difficult predict probability biochemical recurrence (rising serum specific antigen [PSA] concentration) in patient, approximately 30% patients do experience recurrence. Tools predicting will be immense practical utility planning follow up. We utilized preoperative parameters through a computer based genetic adaptive neural network model such patients, can help primary care physicians urologists making management recommendations. Patients Methods: Fourteen hundred who unde...