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- 2024
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Mark
Comparison of the ADNEX and ROMA risk prediction models for the diagnosis of ovarian cancer : a multicentre external validation in patients who underwent surgery
2024) In British Journal of Cancer(
- Contribution to journal › Article
- 2023
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Mark
Multiclass risk models for ovarian malignancy : an illustration of prediction uncertainty due to the choice of algorithm
(
- Contribution to journal › Article
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Mark
External Validation of the Ovarian-Adnexal Reporting and Data System (O-RADS) Lexicon and the International Ovarian Tumor Analysis 2-Step Strategy to Stratify Ovarian Tumors Into O-RADS Risk Groups
(
- Contribution to journal › Article
- 2020
-
Mark
Validation of models to diagnose ovarian cancer in patients managed surgically or conservatively : multicentre cohort study
(
- Contribution to journal › Article
- 2019
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Mark
Risk of complications in patients with conservatively managed ovarian tumours (IOTA5) : a 2-year interim analysis of a multicentre, prospective, cohort study
(
- Contribution to journal › Article
- 2017
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Mark
Clinical utility of risk modelsto refer patients with adnexal masses to specialized oncology care : Multicenter external validation using decision curve analysis
(
- Contribution to journal › Article
- 2016
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Mark
Age-related differences in the sonographic characteristics of endometriomas
(
- Contribution to journal › Article
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Mark
Predicting the risk of malignancy in adnexal masses based on the Simple Rules from the International Ovarian Tumor Analysis (IOTA) group.
(
- Contribution to journal › Article
- 2014
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Mark
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.
(
- Contribution to journal › Article
- 2013
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Mark
The risk of malignancy in unilocular cysts: a study on 1148 adnexal masses classified as unilocular cysts at transvaginal scan with review of the literature.
(
- Contribution to journal › Article
- 2012
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Mark
Improved modeling of clinical data with kernel methods
(
- Contribution to journal › Article
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Mark
External Validation of Diagnostic Models to Estimate the Risk of Malignancy in Adnexal Masses
(
- Contribution to journal › Article
- 2011
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Mark
A Novel Approach to Predict the Likelihood of Specific Ovarian Tumor Pathology Based on Serum CA-125: A Multicenter Observational Study.
2011) In Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 20. p.2420-2428(
- Contribution to journal › Article
- 2010
-
Mark
Polytomous diagnosis of ovarian tumors as benign, borderline, primary invasive or metastatic: development and validation of standard and kernel-based risk prediction models
(
- Contribution to journal › Article
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Mark
Simple ultrasound rules to distinguish between benign and malignant adnexal masses before surgery: prospective validation by IOTA group
(
- Contribution to journal › Article
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Mark
Ultrasound Experience Substantially Impacts on Diagnostic Performance and Confidence when Adnexal Masses Are Classified Using Pattern Recognition
(
- Contribution to journal › Article
- 2009
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Mark
Prospective Internal Validation of Mathematical Models to Predict Malignancy in Adnexal Masses: Results from the International Ovarian Tumor Analysis Study
(
- Contribution to journal › Article
- 2008
-
Mark
Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery
2008) 28th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society 17(5-6). p.489-500(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Pitfalls of CA-125 levels in the preoperative work-up of ovarian masses - Reply
(
- Contribution to journal › Letter
- 2007
-
Mark
Discrimination between benign and malignant adnexal masses by specialist ultrasound examination versus serum CA-125
(
- Contribution to journal › Article