Strategies to diagnose ovarian cancer: new evidence from phase 3 of the multicentre international IOTA study

Assessing discriminative ability of risk models in clustered data

(2014) David van Klaveren et al.   BMC Medical Research Methodology

Prediction models for clustered data: comparison of a random intercept and standard regression model

(2013) Walter Bouwmeester et al.   BMC Medical Research Methodology

Multicentre external validation of IOTA prediction models and RMI by operators with varied training

(2013) A Sayasneh et al.   BRITISH JOURNAL OF CANCER

A multicenter prospective external validation of the diagnostic performance of IOTA simple descriptors and rules to characterize ovarian masses

(2013) Ahmad Sayasneh et al.   GYNECOLOGIC ONCOLOGY

A comparison between an ultrasound based prediction model (LR2) and the Risk of Ovarian Malignancy Algorithm (ROMA) to assess the risk of malignancy in women with an adnexal mass

(2013) Jeroen Kaijser et al.   GYNECOLOGIC ONCOLOGY

Presurgical diagnosis of adnexal tumours using mathematical models and scoring systems: a systematic review and meta-analysis

(2013) J. Kaijser et al.   HUMAN REPRODUCTION UPDATE

A Prospective Validation of the IOTA Logistic Regression Models (LR1 and LR2) in Comparison to Subjective Pattern Recognition for the Diagnosis of Ovarian Cancer

(2013) Natalie Nunes et al.   INTERNATIONAL JOURNAL OF GYNECOLOGICAL CANCER

Triaging women with ovarian masses for surgery: observational diagnostic study to compare RCOG guidelines with an International Ovarian Tumour Analysis (IOTA) group protocol

(2012) B Van Calster et al.   BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY

Risk of Malignancy in Sonographically Confirmed Ovarian Tumors

(2012) RACHEL WARE MILLER et al.   CLINICAL OBSTETRICS AND GYNECOLOGY

Centralisation of services for gynaecological cancers — A Cochrane systematic review

(2012) Yin Ling Woo et al.   GYNECOLOGIC ONCOLOGY

Ultrasound criteria and CA 125 as predictive variables of ovarian cancer in women with adnexal tumors

(2012) C. A. Hartman et al.   ULTRASOUND IN OBSTETRICS & GYNECOLOGY

Prospective evaluation of the IOTA logistic regression model LR2 for the diagnosis of ovarian cancer

(2012) N. Nunes et al.   ULTRASOUND IN OBSTETRICS & GYNECOLOGY

Clinically oriented three-step strategy for assessment of adnexal pathology

(2012) L. Ameye et al.   ULTRASOUND IN OBSTETRICS & GYNECOLOGY

A Novel Approach to Predict the Likelihood of Specific Ovarian Tumor Pathology Based on Serum CA-125: A Multicenter Observational Study

(2011) B. Van Calster et al.   CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION

External Validation of Diagnostic Models to Estimate the Risk of Malignancy in Adnexal Masses

(2011) C. Van Holsbeke et al.   CLINICAL CANCER RESEARCH

Validation externe des critères de Timmerman sur une série de 122 tumeurs ovariennes

(2011) K. Fathallah et al.   GYNECOLOGIE OBSTETRIQUE & FERTILITE

Patterns of care in surgery for ovarian cancer in Europe

(2010) L. Verleye et al.   EJSO

Ovarian cancer prediction in adnexal masses using ultrasound-based logistic regression models: a temporal and external validation study by the IOTA group

(2010) D. Timmerman et al.   ULTRASOUND IN OBSTETRICS & GYNECOLOGY

Prospective Internal Validation of Mathematical Models to Predict Malignancy in Adnexal Masses: Results from the International Ovarian Tumor Analysis Study

(2009) C. Van Holsbeke et al.   CLINICAL CANCER RESEARCH

A novel multiple marker bioassay utilizing HE4 and CA125 for the prediction of ovarian cancer in patients with a pelvic mass

(2008) Richard G. Moore et al.   GYNECOLOGIC ONCOLOGY

Meta-analysis of diagnostic test studies using individual patient data and aggregate data

(2008) Richard D. Riley et al.   STATISTICS IN MEDICINE

Simple ultrasound-based rules for the diagnosis of ovarian cancer

(2008) D. Timmerman et al.   ULTRASOUND IN OBSTETRICS & GYNECOLOGY