Prediction Type:  Two predictions are shown above, non-recurrence and alive.  Non-Recurrence is the chance that you will not have a detectable cancer for the first 15 years after treatment.  Alive is the chance that you will not die from your cancer for the first 15 years after treatment. The predictions from year 9 through 15 are extrapolations based on years 1 through 8.

Factors:  These are your prognostic factors.  They provide the information about your cancer that was used to make your non-recurrence and alive predictions.
Age: Your age in years at the time of  your treatment.
Estrogen Receptor:  Your estrogen receptor status.  It is either positive or negative.
Progesterone Receptor:  Your progesterone receptor status.  It is either positive or negative.
Lymph Nodes Positive:  If you had any lymph nodes that were found to be positive, put in the number found to be positive.
Tumor Size:  From your surgery, put in the size of your tumor in centimeters.
Histologic Grade:  the grade of the tumor, either 1, 2 or 3.

Missing Data:  The more data that is missing, the more difficult it will be to provide accurate predictions.

Prediction Method:  An advanced statistical method called artificial neural network regression (ANN) was used to make your predictions.  Your factors were entered into the artificial neural network model.  The model used this information to predict your chance of non-recurrence and of being alive over the next fifteen years.

Reference:  Burke HB, Goodman, PH, Rosen, DB, Henson DE, Weinstein JN, Harrell Jr. FE, Marks JR, Winchester DP, Bostwick DG.  Artificial neural networks improve the accuracy of cancer survival prediction. Cancer 1997; 79: 857-62.

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