Evaluating the risk of ovarian cancer before surgery using the ADNEX model: a multicentre external validation study
| Autor: | Alexander C. Smith, G. Ettore, A Sayasneh, M. Blanco, Dirk Timmerman, B. De Cock, Maya Al-Memar, L Ferrara, R. Husicka, Tom Bourne, J. Carvalho, S Johnson, Catriona Stalder, J. Kaijser, Srdjan Saso, B. Van Calster |
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| Přispěvatelé: | NIHR Health Services and Delivery Research (HS&DR) programme |
| Rok vydání: | 2016 |
| Předmět: |
Adult
Oncology Cancer Research medicine.medical_specialty diagnostic imaging Colorectal cancer ovarian neoplasm statistical models Malignancy 03 medical and health sciences 0302 clinical medicine Breast cancer Risk Factors Internal medicine medicine Humans Oncology & Carcinogenesis Lung cancer Ovarian Neoplasms Cervical cancer 030219 obstetrics & reproductive medicine Receiver operating characteristic business.industry ultrasonography Middle Aged Models Theoretical medicine.disease 030220 oncology & carcinogenesis Clinical Study Female Radiology business Ovarian cancer 1112 Oncology And Carcinogenesis Cohort study |
| Zdroj: | British Journal of Cancer |
| ISSN: | 1532-1827 0007-0920 |
| DOI: | 10.1038/bjc.2016.227 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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