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Evaluating the risk of ovarian cancer before surgery using the ADNEX model: a multicentre external validation study

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Title: Evaluating the risk of ovarian cancer before surgery using the ADNEX model: a multicentre external validation study
Authors: Sayasneh, A
Ferrara, L
De Cock, B
Saso, S
Al-Memar, M
Johnson, S
Kaijser, J
Carvalho, J
Husicka, R
Smith, A
Stalder, C
Blanco, MC
Ettore, G
Van Calster, B
Timmerman, D
Bourne, T
Item Type: Journal Article
Abstract: BACKGROUND: The International Ovarian Tumour Analysis (IOTA) group have developed the ADNEX (The Assessment of Different NEoplasias in the adneXa) model to predict the risk that an ovarian mass is benign, borderline, stage I, stages II-IV or metastatic. We aimed to externally validate the ADNEX model in the hands of examiners with varied training and experience. METHODS: This was a multicentre cross-sectional cohort study for diagnostic accuracy. Patients were recruited from three cancer centres in Europe. Patients who underwent transvaginal ultrasonography and had a histological diagnosis of surgically removed tissue were included. The diagnostic performance of the ADNEX model with and without the use of CA125 as a predictor was calculated. RESULTS: Data from 610 women were analysed. The overall prevalence of malignancy was 30%. The area under the receiver operator curve (AUC) for the ADNEX diagnostic performance to differentiate between benign and malignant masses was 0.937 (95% CI: 0.915-0.954) when CA125 was included, and 0.925 (95% CI: 0.902-0.943) when CA125 was excluded. The calibration plots suggest good correspondence between the total predicted risk of malignancy and the observed proportion of malignancies. The model showed good discrimination between the different subtypes. CONCLUSIONS: The performance of the ADNEX model retains its performance on external validation in the hands of ultrasound examiners with varied training and experience.British Journal of Cancer advance online publication, 2 August 2016; doi:10.1038/bjc.2016.227 www.bjcancer.com.
Issue Date: 2-Aug-2016
Date of Acceptance: 1-Jul-2016
URI: http://hdl.handle.net/10044/1/39161
DOI: https://dx.doi.org/10.1038/bjc.2016.227
ISSN: 1532-1827
Publisher: Cancer Research UK
Start Page: 542
End Page: 548
Journal / Book Title: British Journal of Cancer
Volume: 115
Copyright Statement: © 2016 Cancer Research UK
Sponsor/Funder: NIHR Health Services and Delivery Research (HS&DR) programme
Funder's Grant Number: HTA Project: 13/13/01 - ROCkeTS - Refining Ovarian Cancer Test Accuracy Scores
Keywords: Oncology & Carcinogenesis
1112 Oncology And Carcinogenesis
Publication Status: Published
Appears in Collections:Department of Surgery and Cancer