Ontology highlight
ABSTRACT: Objectives
To develop a risk prediction model to preoperatively discriminate between benign, borderline, stage I invasive, stage II-IV invasive, and secondary metastatic ovarian tumours.Design
Observational diagnostic study using prospectively collected clinical and ultrasound data.Setting
24 ultrasound centres in 10 countries.Participants
Women with an ovarian (including para-ovarian and tubal) mass and who underwent a standardised ultrasound examination before surgery. The model was developed on 3506 patients recruited between 1999 and 2007, temporally validated on 2403 patients recruited between 2009 and 2012, and then updated on all 5909 patients.Main outcome measures
Histological classification and surgical staging of the mass.Results
Th
SUBMITTER: Van Calster B
PROVIDER: S-EPMC4198550 | biostudies-literature | 2014 Oct
REPOSITORIES: biostudies-literature