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Van Calster, B., Van Hoorde, K., Valentin, L., Testa, A.C., Fischerova, D., Van Holsbeke, C., et al. (2014) Evaluating the Risk of Ovarian Cancer before Surgery Using the ADNEX Model to Differentiate between Benign, Borderline, Early and Advanced Stage Invasive, and Secondary Metastatic Tumours: Prospective Multicentre Diagnostic Study. BMJ, 349, Article No: g5920.
https://doi.org/10.1136/bmj.g5920

has been cited by the following article:

• TITLE: Clinical Performance of ADNEX (The Assessment of Different NEoplasias in the adneXa) Model in Early Diagnosis and Staging of Benign and Malignant Ovarian Tumors

  AUTHORS: Jumei Hu, Yushuang Shi, Mengxiong Li, Cunjian Yi

  KEYWORDS: Ovarian Cancer, ADNEX Risk Model, MRI Examination

  JOURNAL NAME: Yangtze Medicine, Vol.1 No.3, September 21, 2017

  ABSTRACT: Objective: To investigate the clinical value of ADNEX model in early diagnosis and staging of benign and malignant ovarian tumors. Method: 136 cases of ovarian cancer patients treated in our hospital were retrospectively analyzed using the ADNEX risk model and MRI data. The accuracy of the two diagnostic methods was compared with the results of pathological examination as gold standard. Results: For qualitative assessment, the accuracy and sensitivity of the ADNEX model were 78.70% and 93%, while the accuracy and sensitivity of MRI examination were 80.1%, and 90.7%, respectively. The diagnostic values of the two methods were not statistically different (P > 0.05). For ovarian tumor staging, the ADNEX model was significantly less accurate and specific for staging borderline tumor than MRI examination, although it had significantly higher sensitivity (P 0.05). Conclusion: ADNEX risk model has certain diagnostic and predictive value to distinguish benign from malignant ovarian tumors. It is useful to detect and exclude ovarian tumor. However, for early diagnosis, it is not accurate enough and further study is needed to validate this usefulness.