Multicentre external validation of IOTA prediction models and RMI by operators with varied training

BACKGROUND: Correct characterisation of ovarian tumours is critical to optimise patient care. The purpose of this study is to evaluate the diagnostic performance of the International Ovarian Tumour Analysis (IOTA) logistic regression model (LR2), ultrasound Simple Rules (SR), the Risk of Malignancy...

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Detalhes bibliográficos
Main Authors: Sayasneh, A, Wynants, L, Preisler, J, Kaijser, J, Johnson, S, Stalder, C, Husicka, R, Abdallah, Y, Raslan, F, Drought, A, Smith, A A, Ghaem-Maghami, S, Epstein, E, Van Calster, B, Timmerman, D, Bourne, T
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group 2013
Assuntos:
Clinical Study
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3694231/
https://ncbi.nlm.nih.gov/pubmed/23674083
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/bjc.2013.224
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