Breast Cancer Screening With MRI in Women Aged 50-75 Years With Extremely Dense Breast Tissue: the DENSE Trial

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ClinicalTrials.gov Identifier: NCT01315015

Recruitment Status : Active, not recruiting

First Posted : March 15, 2011

Last Update Posted : November 7, 2022

View this study on the modernized ClinicalTrials.gov

Sponsor:

Collaborators:

Dutch Breast Cancer Screening Organisations

Dutch Reference Centre for Screening

National Institute for Public Health and the Environment (RIVM)

The Netherlands Cancer Institute

University Medical Center Nijmegen

Jeroen Bosch Ziekenhuis

Albert Schweitzer Hospital

Hospital Group Twente (ZGT)

Amsterdam UMC, location VUmc

Maastricht University Medical Center

ZonMw: The Netherlands Organisation for Health Research and Development

Dutch Cancer Society

Pink Ribbon Inc.

A Sister's Hope

Bayer

Stichting Kankerpreventie Midden-West

Volpara Solutions

Information provided by (Responsible Party):

C.H. van Gils, UMC Utrecht

No Study Results Posted on ClinicalTrials.gov for this Study

About Study Results Reporting on ClinicalTrials.gov

Recruitment Status :	Active, not recruiting
Estimated Primary Completion Date :	April 2023
Estimated Study Completion Date :	April 2023

Publications automatically indexed to this study by ClinicalTrials.gov Identifier (NCT Number):

Verburg E, van Gils CH, van der Velden BHM, Bakker MF, Pijnappel RM, Veldhuis WB, Gilhuijs KGA. Validation of Combined Deep Learning Triaging and Computer-Aided Diagnosis in 2901 Breast MRI Examinations From the Second Screening Round of the Dense Tissue and Early Breast Neoplasm Screening Trial. Invest Radiol. 2023 Apr 1;58(4):293-298. doi: 10.1097/RLI.0000000000000934. Epub 2022 Oct 17.

Verburg E, van Gils CH, van der Velden BHM, Bakker MF, Pijnappel RM, Veldhuis WB, Gilhuijs KGA. Deep Learning for Automated Triaging of 4581 Breast MRI Examinations from the DENSE Trial. Radiology. 2022 Jan;302(1):29-36. doi: 10.1148/radiol.2021203960. Epub 2021 Oct 5.

Veenhuizen SGA, de Lange SV, Bakker MF, Pijnappel RM, Mann RM, Monninkhof EM, Emaus MJ, de Koekkoek-Doll PK, Bisschops RHC, Lobbes MBI, de Jong MDF, Duvivier KM, Veltman J, Karssemeijer N, de Koning HJ, van Diest PJ, Mali WPTM, van den Bosch MAAJ, van Gils CH, Veldhuis WB; DENSE Trial Study Group. Supplemental Breast MRI for Women with Extremely Dense Breasts: Results of the Second Screening Round of the DENSE Trial. Radiology. 2021 May;299(2):278-286. doi: 10.1148/radiol.2021203633. Epub 2021 Mar 16.

Bakker MF, de Lange SV, Pijnappel RM, Mann RM, Peeters PHM, Monninkhof EM, Emaus MJ, Loo CE, Bisschops RHC, Lobbes MBI, de Jong MDF, Duvivier KM, Veltman J, Karssemeijer N, de Koning HJ, van Diest PJ, Mali WPTM, van den Bosch MAAJ, Veldhuis WB, van Gils CH; DENSE Trial Study Group. Supplemental MRI Screening for Women with Extremely Dense Breast Tissue. N Engl J Med. 2019 Nov 28;381(22):2091-2102. doi: 10.1056/NEJMoa1903986.

de Lange SV, Bakker MF, Monninkhof EM, Peeters PHM, de Koekkoek-Doll PK, Mann RM, Rutten MJCM, Bisschops RHC, Veltman J, Duvivier KM, Lobbes MBI, de Koning HJ, Karssemeijer N, Pijnappel RM, Veldhuis WB, van Gils CH. Reasons for (non)participation in supplemental population-based MRI breast screening for women with extremely dense breasts. Clin Radiol. 2018 Aug;73(8):759.e1-759.e9. doi: 10.1016/j.crad.2018.04.002. Epub 2018 Jun 18.

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