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...

Повний опис

Бібліографічні деталі
Автори: 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)
Формат: info:eu-repo/semantics/article
Мова:eng
Опубліковано: 2024
Предмети:
Ovarian cancer
Diganostic prediction models
Онлайн доступ:https://hdl.handle.net/10171/68859

Інтернет

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

Схожі ресурси