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Logistic Regression Model to Distinguish Between the Benign and Malignant Adnexal Mass Before Surgery: A Multicenter Study by the International Ovarian Tumor Analysis Group

Journal of clinical oncology, 2005-12, Vol.23 (34), p.8794-8801

2005

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How often are endometrial polyps malignant in asymptomatic postmenopausal women? A multicenter study

American journal of obstetrics and gynecology, 2009-03, Vol.200 (3), p.235.e1-235.e6

2009

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

Clinical cancer research, 2009-01, Vol.15 (2), p.684-691

2009

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Inclusion of CA-125 Does Not Improve Mathematical Models Developed to Distinguish Between Benign and Malignant Adnexal Tumors

Journal of clinical oncology, 2007-09, Vol.25 (27), p.4194-4200

2007

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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

BMJ (Online), 2014-10, Vol.349 (oct07 3), p.g5920-g5920

International edition, 2014

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Polytomous diagnosis of ovarian tumors as benign, borderline, primary invasive or metastatic: development and validation of standard and kernel-based risk prediction models

BMC medical research methodology, 2010-10, Vol.10 (1), p.96-96, Article 96

2010

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External Validation of Mathematical Models to Distinguish Between Benign and Malignant Adnexal Tumors: A Multicenter Study by the International Ovarian Tumor Analysis Group

Clinical cancer research, 2007-08, Vol.13 (15), p.4440-4447

2007

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Ultrasound-guided robotic surgical procedures: a systematic review

Surgical endoscopy, 2024-05, Vol.38 (5), p.2359-2370

2024

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Age-related differences in the sonographic characteristics of endometriomas

Human reproduction (Oxford), 2016-08, Vol.31 (8), p.1723-1731

2016

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Ultrasound experience substantially impacts on diagnostic performance and confidence when adnexal masses are classified using pattern recognition

Gynecologic and obstetric investigation, 2010-01, Vol.69 (3), p.160-168

2010

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

Clinical cancer research, 2012-02, Vol.18 (3), p.815-825

2012

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Characterising pelvic masses using ultrasound

Best practice & research. Clinical obstetrics & gynaecology, 2009-10, Vol.23 (5), p.725-738

2009

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Role of ultrasound in advanced peritoneal malignancies

Minerva medica, 2019-08, Vol.110 (4), p.292

2019

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Prediction of Tubal Ectopic Pregnancy Using Offline Analysis of 3‐Dimensional Transvaginal Ultrasonographic Data Sets: An Interobserver and Diagnostic Accuracy Study

Journal of ultrasound in medicine, 2018-06, Vol.37 (6), p.1467-1472

2018

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Celecoxib modulates the expression of cyclooxygenase-2, Ki67, apoptosis-related marker, and microvessel density in human cervical cancer: A pilot study

Clinical cancer research, 2003-10, Vol.9 (12), p.4324-4331

2003

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The role of sonographic examination in the follow-up of gynecological neoplasms

Gynecologic oncology, 2005-12, Vol.99 (3), p.696-703

2005

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Pitfalls of CA-125 levels in the preoperative work-up of ovarian masses - Reply

Journal of clinical oncology, 2008-01, Vol.26 (3), p.513

2008

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Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery

28th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society,2006-08-30 - 2006-09-03, 2008-10, Vol.17 (5-6), p.489-500

2008

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385 Patient satisfaction with ultrasound, CT and WB-DWI/MRI for preoperative ovarian cancer staging: a multicenter prospective survey

International journal of gynecological cancer, 2023-09, Vol.33 (Suppl 3), p.A118-A118

2023

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Lung ultrasound in COVID-19 pregnancies: a literature review

Sechenovskiĭ vestnik, 2021-12, Vol.12 (2), p.26-34

2021

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Sonographic characteristics of squamous cell cancer and adenocarcinoma of the uterine cervix

Ultrasound in obstetrics & gynecology, 2010-10, Vol.36 (4), p.512-516

2010

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Characterising pelvic masses using ultrasound: Acute Gynaecology Volume 2: Infection, uterine and ovarian pathology

Best practice & research. Clinical obstetrics & gynaecology, 2009, Vol.23 (5), p.725-738

2009

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Logistic Regression Model to Distinguish Between the Benign and Malignant Adnexal Mass Before Surgery: A Multicenter Study by the International Ovarian Tumor Analysis Group

How often are endometrial polyps malignant in asymptomatic postmenopausal women? A multicenter study

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

Inclusion of CA-125 Does Not Improve Mathematical Models Developed to Distinguish Between Benign and Malignant Adnexal Tumors

Sonographic, Demographic, and Clinical Characteristics of Pre- and Postmenopausal Women with Endometrial Cancer; Results from a Post Hoc Analysis of the IETA4 (International Endometrial Tumor Analysis) Multicenter Cohort

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

Polytomous diagnosis of ovarian tumors as benign, borderline, primary invasive or metastatic: development and validation of standard and kernel-based risk prediction models

External Validation of Mathematical Models to Distinguish Between Benign and Malignant Adnexal Tumors: A Multicenter Study by the International Ovarian Tumor Analysis Group

Validation of models to diagnose ovarian cancer in patients managed surgically or conservatively: multicentre cohort study

Ultrasound-guided robotic surgical procedures: a systematic review

Age-related differences in the sonographic characteristics of endometriomas

Ultrasound experience substantially impacts on diagnostic performance and confidence when adnexal masses are classified using pattern recognition

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

Characterising pelvic masses using ultrasound

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

Role of ultrasound in advanced peritoneal malignancies

Prediction of Tubal Ectopic Pregnancy Using Offline Analysis of 3‐Dimensional Transvaginal Ultrasonographic Data Sets: An Interobserver and Diagnostic Accuracy Study

Celecoxib modulates the expression of cyclooxygenase-2, Ki67, apoptosis-related marker, and microvessel density in human cervical cancer: A pilot study

The role of sonographic examination in the follow-up of gynecological neoplasms

Pitfalls of CA-125 levels in the preoperative work-up of ovarian masses - Reply

Using Bayesian neural networks with ARD input selection to detect malignant ovarian masses prior to surgery

385 Patient satisfaction with ultrasound, CT and WB-DWI/MRI for preoperative ovarian cancer staging: a multicenter prospective survey

Lung ultrasound in COVID-19 pregnancies: a literature review

Sonographic characteristics of squamous cell cancer and adenocarcinoma of the uterine cervix

Characterising pelvic masses using ultrasound: Acute Gynaecology Volume 2: Infection, uterine and ovarian pathology

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