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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
Materias:
Clinical Study
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3694231/
https://www.ncbi.nlm.nih.gov/pubmed/23674083
http://dx.doi.org/10.1038/bjc.2013.224

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3694231/
https://www.ncbi.nlm.nih.gov/pubmed/23674083
http://dx.doi.org/10.1038/bjc.2013.224

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