Modèles prédictifs d’envahissement du ganglion non sentinelle en cas de ganglion sentinelle positif dans le cancer du sein View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-06

AUTHORS

E. Chéreau, D. Hudry, E. Lambaudie, M. Cohen, G. Houvenaeghel, C. Coutant

ABSTRACT

Afin de diminuer lamorbidité du curage axillaire (CA) et le taux de réintervention après procédure du ganglion sentinelle (GS), l’utilisation de modèles prédictifs d’envahissement des ganglions non sentinelles (GNS) en cas de GS métastatique peut être utile dans la prise en charge des patientes. Avant de pouvoir être utilisés en pratique courante, ces modèles doivent être validés sur des cohortes indépendantes de patientes avec une méthodologie rigoureuse. Les critères de validation sont la discrimination, la calibration et l’intérêt clinique qui reposent, d’une part, sur l’analyse du taux de faux-négatifs et, d’autre part, sur l’efficacité du modèle, c’est-à-dire sa capacité à sélectionner un nombre suffisant de patientes. Cet article a pour but de rappeler les différents types de modèles prédictifs utilisés et leur définition et de présenter et comparer les différents modèles publiés permettant d’estimer le risque d’envahissement du GNS en cas de GS positif. More... »

PAGES

304-310

References to SciGraph publications

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  • Journal

    TITLE

    Oncologie

    ISSUE

    6

    VOLUME

    15

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10269-013-2292-8

    DOI

    http://dx.doi.org/10.1007/s10269-013-2292-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1011329976


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    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10269-013-2292-8'

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    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10269-013-2292-8'

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    RDF/XML is a standard XML format for linked data.

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