Neural network analysis of clinicopathological and molecular markers in bladder cancer

J Urol. 2000 Feb;163(2):630-3.


Purpose: To evaluate retrospectively the ability of an artificial neural network (ANN) to predict bladder cancer recurrence within 6 months of diagnosis and stage progression in patients with Ta/T1 bladder cancer, and 12-month cancer-specific survival in patients with T2-T4 bladder cancer.

Materials and methods: Data were analyzed using a NeuralWorks Professional II/Plus software package. The input neural data consisted of clinicopathological and molecular characteristics. Distinct patient groups were used for the prediction of stage progression and tumor recurrence in Ta/T1 bladder cancers, and 12-month cancer-specific survival for patients with T2-T4 tumors. ANN predictions were compared with those of four consultant urologists.

Results: The accuracy of the neural network in predicting stage progression and recurrence within 6 months for Ta/T1 tumors and 12-month cancer-specific survival for T2-T4 cancers was 80%, 75% and 82% respectively; with corresponding figures for clinicians being 74%, 79% and 65%. On restricting the validation subset to patients with T1G3 tumors in relation to stage progression, the sensitivity of the ANN analysis increased to 100% with a specificity of 78% and an overall accuracy of 82%. The performance of the ANN in predicting stage progression in T1G3 tumors was significantly higher than that of clinicians (p = 0.25 for the ANN and p = 0.008 for clinicians, McNemar test).

Conclusions: Data analysis using an ANN has been shown to be a useful adjunct in predicting outcomes in patients with bladder cancer and out-performs clinicians' predictions of stage progression in the high risk group of patients with T1G3 disease.

MeSH terms

  • Biomarkers, Tumor
  • Disease Progression
  • Follow-Up Studies
  • Humans
  • Neoplasm Recurrence, Local / diagnosis*
  • Neoplasm Recurrence, Local / mortality*
  • Neoplasm Staging
  • Neural Networks, Computer*
  • Predictive Value of Tests
  • Reproducibility of Results
  • Retrospective Studies
  • Sensitivity and Specificity
  • Survival Rate
  • Urinary Bladder Neoplasms / diagnosis*
  • Urinary Bladder Neoplasms / mortality*


  • Biomarkers, Tumor