1 – 10 of 11
- show: 10
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=" "
width=" "
height=" "
allowtransparency="true"
frameborder="0">
</iframe>
- 2020
- Validation of models to diagnose ovarian cancer in patients managed surgically or conservatively : multicentre cohort study (
- 2016
- Age-related differences in the sonographic characteristics of endometriomas (
- 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. (
- 2012
- External Validation of Diagnostic Models to Estimate the Risk of Malignancy in Adnexal Masses (
- 2010
- Polytomous diagnosis of ovarian tumors as benign, borderline, primary invasive or metastatic: development and validation of standard and kernel-based risk prediction models (
- Ultrasound Experience Substantially Impacts on Diagnostic Performance and Confidence when Adnexal Masses Are Classified Using Pattern Recognition (
- 2009
- Prospective Internal Validation of Mathematical Models to Predict Malignancy in Adnexal Masses: Results from the International Ovarian Tumor Analysis Study (
- 2008
- Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery (
- Pitfalls of CA-125 levels in the preoperative work-up of ovarian masses - Reply (
- 2007
- Inclusion of CA-125 does not improve mathematical models developed to distinguish between benign and malignant adnexal tumors (