title: Key findings from the International Ovarian Tumor Analysis (IOTA) study: an approach to the optimal ultrasound based characterisation of adnexal pathology.
abstract: The principal aim of the IOTA project has been to develop approaches to the evaluation of adnexal pathology using ultrasound that can be transferred to all examiners. Creating models that use simple, easily reproducible ultrasound characteristics is one approach.
authors.affiliation: Department of Obstetrics and Gynaecology University Hospital Leuven Leuven Belgium.
authors.forename: Jeroen
authors.initials: J
authors.lastname: Kaijser
authors.affiliation: Department of Obstetrics and GynaecologyUniversity Hospital LeuvenLeuvenBelgium; Department of Obstetrics and GynaecologyQueen Charlotte's & Chelsea HospitalImperial CollegeLondonUnited Kingdom; Academic Department of Development and RegenerationKULeuvenBelgium.
authors.forename: Tom
authors.initials: T
authors.lastname: Bourne
authors.affiliation: Department of Obstetrics and Gynaecology University Hospital Leuven Leuven Belgium.
authors.forename: Sylvie
authors.initials: S
authors.lastname: De Rijdt
authors.affiliation: Department of Obstetrics and GynaecologyUniversity Hospital LeuvenLeuvenBelgium; Department of Obstetrics and GynaecologyZiekenhuis Oost-LimburgGenkBelgium.
authors.forename: Caroline
authors.initials: C
authors.lastname: Van Holsbeke
authors.affiliation: Department of Obstetrics and Gynaecology Queen Charlotte's & Chelsea Hospital Imperial College London United Kingdom.
authors.forename: Ahmad
authors.initials: A
authors.lastname: Sayasneh
authors.affiliation: Department of Obstetrics and Gynaecology Skåne University Hospital Lund University Malmö Sweden.
authors.forename: Lil
authors.initials: L
authors.lastname: Valentin
authors.affiliation: Academic Department of Development and Regeneration KU Leuven Belgium.
authors.forename: Ben
authors.initials: B
authors.lastname: Van Calster
authors.affiliation: Department of Obstetrics and GynaecologyUniversity Hospital LeuvenLeuvenBelgium; Academic Department of Development and RegenerationKULeuvenBelgium.
authors.forename: Dirk
authors.initials: D
authors.lastname: Timmerman
keywords: ovarian neoplasms; predictive model; risk assessment; scoring system; ultrasonography