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Forecasting the performance status of head and neck cancer patient treatment by an interval arithmetic pruned perceptron

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4 Author(s)
Drago, G.P. ; Ist. per i Circuiti Elettronici, CNR, Genoa, Italy ; Setti, E. ; Licitra, L. ; Liberati, D.

The integration of chemotherapy and radiotherapy for the treatment of advanced head and neck cancer is still a matter of clinical investigation. An important limitation is that the concomitant administration of chemotherapy and radiotherapy still induces severe toxicity. In this paper, a simple artificial neural network. is used to predict, on the basis of biological and clinical data, if the cumulative toxicity of the combined chemo-radiation treatment itself would be tolerated. The resulting method, tested on clinical data from a phase II trial, proved to be able to forecast which patients will tolerate a combined chemo-radiotherapeutic approach. This result should open a new perspective in the clinical approach, by supplying a potential predictive indicator for toxicity.

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Biomedical Engineering, IEEE Transactions on  (Volume:49 ,  Issue: 8 )