OBJECTIVES: To develop a risk prediction model to preoperatively discriminate between benign, borderline, stage I invasive, stage II-IV invasive, and secondary metastatic ovarian tumours. DESIGN: Observational diagnostic study using prospectively collected clinical and ultrasound data. SETTING: 24 ultrasound centres in 10 countries. PARTICIPANTS: Women with an ovarian (including para-ovarian and tubal) mass and who underwent a standardised ultrasound examination before surgery. The model was developed on 3506 patients recruited between 1999 and 2007, temporally validated on 2403 patients recruited between 2009 and 2012, and then updated on all 5909 patients. MAIN OUTCOME MEASURES: Histological classification and surgical staging of the mass...
All gynecologists are faced with ovarian tumors on a regular basis, and the accurate preoperative di...
OBJECTIVETo evaluate the performance of diagnostic prediction models for ovarian malignancy in all p...
Abstract Background This study aims to validate the diagnostic accuracy of the International Ovarian...
Objectives To develop a risk prediction model to preoperatively discriminate between benign, borderl...
To develop a risk prediction model to preoperatively discriminate between benign, borderline, stage ...
Objectives To develop a risk prediction model to preoperatively discriminate between benign, borderl...
BACKGROUND: The International Ovarian Tumour Analysis (IOTA) group have developed the ADNEX (The Ass...
Objectives To develop a risk prediction model to preoperatively discriminate between benign, borderl...
To develop a risk prediction model to preoperatively discriminate between benign, borderline, stage ...
To develop a risk prediction model to preoperatively discriminate between benign, borderline, stage ...
The International Ovarian Tumour Analysis (IOTA) group have developed the ADNEX (The Assessment of D...
OBJECTIVE: To evaluate the performance of diagnostic prediction models for ovarian malignancy in all...
OBJECTIVE: To evaluate the performance of diagnostic prediction models for ovarian malignancy in all...
To evaluate the utility of pre-operative diagnostic models for ovarian cancer based on ultrasound an...
OBJECTIVETo evaluate the performance of diagnostic prediction models for ovarian malignancy in all p...
All gynecologists are faced with ovarian tumors on a regular basis, and the accurate preoperative di...
OBJECTIVETo evaluate the performance of diagnostic prediction models for ovarian malignancy in all p...
Abstract Background This study aims to validate the diagnostic accuracy of the International Ovarian...
Objectives To develop a risk prediction model to preoperatively discriminate between benign, borderl...
To develop a risk prediction model to preoperatively discriminate between benign, borderline, stage ...
Objectives To develop a risk prediction model to preoperatively discriminate between benign, borderl...
BACKGROUND: The International Ovarian Tumour Analysis (IOTA) group have developed the ADNEX (The Ass...
Objectives To develop a risk prediction model to preoperatively discriminate between benign, borderl...
To develop a risk prediction model to preoperatively discriminate between benign, borderline, stage ...
To develop a risk prediction model to preoperatively discriminate between benign, borderline, stage ...
The International Ovarian Tumour Analysis (IOTA) group have developed the ADNEX (The Assessment of D...
OBJECTIVE: To evaluate the performance of diagnostic prediction models for ovarian malignancy in all...
OBJECTIVE: To evaluate the performance of diagnostic prediction models for ovarian malignancy in all...
To evaluate the utility of pre-operative diagnostic models for ovarian cancer based on ultrasound an...
OBJECTIVETo evaluate the performance of diagnostic prediction models for ovarian malignancy in all p...
All gynecologists are faced with ovarian tumors on a regular basis, and the accurate preoperative di...
OBJECTIVETo evaluate the performance of diagnostic prediction models for ovarian malignancy in all p...
Abstract Background This study aims to validate the diagnostic accuracy of the International Ovarian...