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Gynecologic Oncology
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July 22, 2018
Endometrial cancer off-line staging using two-dimensional transvaginal ultrasound and three-dimensional volume contrast imaging: Intermethod agreement, interrater reliability and diagnostic accuracy
Rasmus W Green, Lil Valentin, Juan Luis Alcazar, et al.
BMJ (Clinical Research Ed.)
|
October 17, 2014
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
Ben Van Calster, Kirsten Van Hoorde, Lil Valentin, et al.
Gynecologic and Obstetric Investigation
|
December 18, 2009
Ultrasound experience substantially impacts on diagnostic performance and confidence when adnexal masses are classified using pattern recognition
Caroline Van Holsbeke, Anneleen Daemen, Joseph Yazbek, et al.
Gynecologic and Obstetric Investigation
|
February 13, 2022
The Risk of Endometrial Malignancy and Other Endometrial Pathology in Women with Abnormal Uterine Bleeding: An Ultrasound-Based Model Development Study by the IETA Group
Laure Wynants, Jan Yvan Jos Verbakel, Lil Valentin, et al.
American Journal of Obstetrics and Gynecology
|
January 24, 2016
Predicting the risk of malignancy in adnexal masses based on the Simple Rules from the International Ovarian Tumor Analysis group
Dirk Timmerman, Ben Van Calster, Antonia Testa, et al.
British Journal of Cancer
|
January 19, 2024
Comparison of the ADNEX and ROMA risk prediction models for the diagnosis of ovarian cancer: a multicentre external validation in patients who underwent surgery
Chiara Landolfo, Jolien Ceusters, Lil Valentin, et al.
NPJ Precision Oncology
|
December 11, 2025
ADNEX-AI: automated extraction of ultrasound predictors for interpretable ovarian cancer risk stratification
Axel Geysels, Giulia Garofalo, Stefan Timmerman, et al.
International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society
|
April 14, 2025
Patient satisfaction with ultrasound, whole-body CT and whole-body diffusion-weighted MRI for pre-operative ovarian cancer staging: a multicenter prospective cross-sectional survey
Patrícia Pinto, Lil Valentin, Martina Borčinová, et al.
International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society
|
March 26, 2024
Patient satisfaction with ultrasound, whole-body CT and whole-body diffusion-weighted MRI for pre-operative ovarian cancer staging: a multicenter prospective cross-sectional survey
Patrícia Pinto, Lil Valentin, Martina Borčinová, et al.
JAMA Oncology
|
December 15, 2022
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
Stefan Timmerman, Lil Valentin, Jolien Ceusters, et al.
Page
of 8
Search research articles
Search
Showing results (61-70 of 72) with videos related to
Sort By:
Page
of 8
Gynecologic Oncology
|
July 22, 2018
Endometrial cancer off-line staging using two-dimensional transvaginal ultrasound and three-dimensional volume contrast imaging: Intermethod agreement, interrater reliability and diagnostic accuracy
Rasmus W Green, Lil Valentin, Juan Luis Alcazar, et al.
BMJ (Clinical Research Ed.)
|
October 17, 2014
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
Ben Van Calster, Kirsten Van Hoorde, Lil Valentin, et al.
Gynecologic and Obstetric Investigation
|
December 18, 2009
Ultrasound experience substantially impacts on diagnostic performance and confidence when adnexal masses are classified using pattern recognition
Caroline Van Holsbeke, Anneleen Daemen, Joseph Yazbek, et al.
Gynecologic and Obstetric Investigation
|
February 13, 2022
The Risk of Endometrial Malignancy and Other Endometrial Pathology in Women with Abnormal Uterine Bleeding: An Ultrasound-Based Model Development Study by the IETA Group
Laure Wynants, Jan Yvan Jos Verbakel, Lil Valentin, et al.
American Journal of Obstetrics and Gynecology
|
January 24, 2016
Predicting the risk of malignancy in adnexal masses based on the Simple Rules from the International Ovarian Tumor Analysis group
Dirk Timmerman, Ben Van Calster, Antonia Testa, et al.
British Journal of Cancer
|
January 19, 2024
Comparison of the ADNEX and ROMA risk prediction models for the diagnosis of ovarian cancer: a multicentre external validation in patients who underwent surgery
Chiara Landolfo, Jolien Ceusters, Lil Valentin, et al.
NPJ Precision Oncology
|
December 11, 2025
ADNEX-AI: automated extraction of ultrasound predictors for interpretable ovarian cancer risk stratification
Axel Geysels, Giulia Garofalo, Stefan Timmerman, et al.
International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society
|
April 14, 2025
Patient satisfaction with ultrasound, whole-body CT and whole-body diffusion-weighted MRI for pre-operative ovarian cancer staging: a multicenter prospective cross-sectional survey
Patrícia Pinto, Lil Valentin, Martina Borčinová, et al.
International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society
|
March 26, 2024
Patient satisfaction with ultrasound, whole-body CT and whole-body diffusion-weighted MRI for pre-operative ovarian cancer staging: a multicenter prospective cross-sectional survey
Patrícia Pinto, Lil Valentin, Martina Borčinová, et al.
JAMA Oncology
|
December 15, 2022
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
Stefan Timmerman, Lil Valentin, Jolien Ceusters, et al.
Page
of 8