Validation of models to diagnose ovarian cancer in patients managed surgically or conservatively: multicentre cohort study

Validation of models to diagnose ovarian cancer in patients managed surgically or conservatively: multicentre cohort study

Objective To evaluate the performance of diagnostic prediction models for ovarian malignancy in all patients with an ovarian mass managed surgically or conservatively. Design Multicentre cohort study. Setting 36 oncology referral centres (tertiary centres with a specific gynaecological oncology un...

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Main Authors: Calster, B. (Ben) van, Valentin, L. (Lil), Froyman, W. (Wouter), Landolfo, C. (Chiara), Ceusters, J. (Jolien), Testa, A.C. (Antonia Carla), Wynants, L. (Laure), Sladkevicius, P. (Povilas), Holsbeke, C. (Caroline) van, Domali, E. (Ekaterine), Fruscio, R. (Robert), Epstein, E. (Elizabeth), Franchi, D. (Dorella), Kudla, M.J. (Marek J.), Chiappa, V. (Valentina), Alcazar, J.L. (Juan Luis), Leone, F.P.G. (Francesco Paolo Giuseppe), Buonomo, F. (Francesca), Coccia, M.E. (Maria Elisabetta), Guerriero, S. (Stefano), Deo, N. (Nandita), Jokubkiene, L. (Ligita)
格式: info:eu-repo/semantics/article
语言:eng
出版: 2024
主题:
Ovarian cancer
Diganostic prediction models
在线阅读:https://hdl.handle.net/10171/68859

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https://hdl.handle.net/10171/68859

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