UB Paderborn / Katalog / Suche / in CDI

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, Vol.33 (Suppl 3), p.A118-A118

2023

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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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In Reply

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

2008

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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

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

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

Ultrasound-guided robotic surgical procedures: a systematic review

Age-related differences in the sonographic characteristics of endometriomas

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

Characterising pelvic masses using ultrasound

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Role of ultrasound in advanced peritoneal malignancies

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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

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

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

An ultrasound-based risk model to predict lymph node metastases before surgery in women with endometrial cancer: a model development study

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