Prostate Cancer Neural Network Predictor - Support
PSA Net uses a trained neural network to predict whether prostate cancer will be found on biopsy, based on clinical parameters. The model was published in a peer-reviewed study in the journal Cancer.
Enter the clinical parameters:
Press Predict to see whether the model predicts cancer on biopsy, along with the odds ratio.
Including the IPSS (International Prostate Symptom Score) is highly recommended, as the accuracy of the model will degrade without it.
Kalra P, Togami J, Engel BSG, et al. A neurocomputational model for prostate cancer detection. Cancer. 2003 Nov 1;98(9):1849-1854.
A neural network is a type of computational model that learns patterns from data. This model was trained on clinical data from patients who underwent prostate biopsy and learned to predict which combination of clinical factors is associated with cancer on biopsy.
The odds ratio represents the likelihood of cancer being found on biopsy. For example, "odds of cancer on biopsy are 2 to 1" means the model estimates cancer is twice as likely to be present as not.
The International Prostate Symptom Score (IPSS) is a validated questionnaire that measures urinary symptoms. Including it significantly improves the neural network's prediction accuracy. The model can still run without it, but results will be less reliable.
No. PSA Net does not collect, store, or transmit any data. All calculations happen locally on your device. The app does not require an internet connection.
No. This calculator is intended for informational purposes only. Always consult with a qualified healthcare provider regarding prostate cancer screening and biopsy decisions.
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