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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Dettagli Bibliografici
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Publishing Group 2013
Soggetti:
Clinical Study
Accesso online: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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