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  1. Application of an algorithm for staging small-cell lung cancer can save one third of the initial evaluation costs.

    Article - En anglais


    Design of a cost-effective algorithm for staging disease in patients with small-cell lung cancer.


    An algorithm was constructed by analyzing all permutations of a sequence of procedures required to stage disease in patients with small-cell lung cancer.

    Procedural costs were determined, and the model was applied to the small-cell lung cancer patient population treated at the National Cancer Institute, Bethesda, Md, from 1973 to 1989.

    The final algorithm was derived from the permutation with the lowest cost per accurately staged patient.


    A single government institute, the National Cancer Institute.

    Mots-clés Pascal : Appareil respiratoire pathologie, Economie santé, Tumeur maligne, Poumon, Homme, Epithélioma petite cellule, Algorithme, Coût, Classification par stade

    Mots-clés Pascal anglais : Respiratory disease, Health economy, Malignant tumor, Lung, Human, Oat cell carcinoma, Algorithm, Costs, Staging

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 93-0333626

    Code Inist : 002B11A. Création : 199406.