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- 2013
- Unilocular adnexal cysts with papillary projections but no other solid components: is there a diagnostic method that can reliably classify them as benign or malignant before surgery?
- 2012
- Detection of intracavitary uterine pathology using offline analysis of three-dimensional ultrasound volumes: interobserver agreement and diagnostic accuracy
- Clinically oriented three-step strategy for assessment of adnexal pathology
- 2011
- Adnexal masses difficult to classify as benign or malignant using subjective assessment of gray scale and Doppler ultrasound findings: logistic regression models do not help.
- Effect of gel-instillation sonography on Doppler ultrasound findings in endometrial polyps
- 2010
- Acoustic streaming cannot discriminate reliably between endometriomas and other types of adnexal lesion: a multicenter study of 633 adnexal masses
- Ovarian cancer prediction in adnexal masses using ultrasound-based logistic regression models: a temporal and external validation study by the IOTA group
- Prospective external validation of the 'ovarian crescent sign' as a single ultrasound parameter to distinguish between benign and malignant adnexal pathology
- 2009
- A scoring system to differentiate malignant from benign masses in specific ultrasound-based subgroups of adnexal tumors
- Adding a single CA 125 measurement to ultrasound imaging performed by an experienced examiner does not improve preoperative discrimination between benign and malignant adnexal masses.
- Intravenous contrast ultrasound examination using contrast-tuned imaging (CnTI (TM)) and the contrast medium SonoVue (R) for discrimination between benign and malignant adnexal masses with solid components
- 2008
- Simple ultrasound-based rules for the diagnosis of ovarian cancer
- 2007
- OC153: Logistic regression models to distinguish between benign, primary invasive, borderline malignant and metastatic ovarian tumors
- OC155: The first prospective evaluation of the IOTA phase 1 mathematical models to predict the character of an adnexal mass
- OC156: CA-125 does not add to and is not superior to pattern recognition for discrimination between benign and malignant adnexal masses
- Preoperative diagnosis of ovarian tumors using Bayesian kernel-based methods
- 2006
- Which extrauterine pelvic masses are difficult to correctly classify as benign or malignant on the basis of ultrasound findings and is there a way of making a correct diagnosis?
- Classifying ovarian tumors using Bayesian Multi-Layer Perceptrons and Automatic Relevance Determination: A multi-center study
- 2005
- Logistic regression model to distinguish between the benign and malignant adnexal mass before surgery: A multicenter study by the International Ovarian Tumor Analysis Group
- 2001
- Biomedical Magnetic Resonance Spectroscopic Quantitation : a Review of Modern time-domain Analysis Methods