Prediction Type: Two survival predictions are shown, surgery for cure and no surgery. The surgery predictions only apply when the primary tumor is resectable, when it can be surgically removed. Alive is the chance that you will not die from your cancer for the first fifteen 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 predictions.
Race: Your ethnicity may affect your prognosis. Enter either black, white or other.
Age: Your age in years at the time of  your treatment.
Histologic Grade:  the grade of the tumor, either 1, 2, 3 or 4.
Tumor extension: How far your tumor has progressed, either T1, T2, T3 or T4.
Lymph Nodes Positive:  If you had any lymph nodes that were found to be positive, put in the number found to be positive.
Tumor Type: Type of the tumor in the lung, adenocarcinoma, squamous cell, large cell, and small cell.

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 being alive over the next fifteen years.

Reference:  Burke HB, Goodman, PH, Rose, 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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