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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Detaylı Bibliyografya
Asıl Yazarlar: 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
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Nature Publishing Group 2013
Konular:
Clinical Study
Online Erişim: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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