ClinicalTrials.gov
public full text
Public Domain
Supplemental Screening for Women With Extremely Dense Breast Tissue: the DENSE-2 Trial
Women with extremely dense breasts (nearly all glandular and connective tissue, little fatty tissue) have a 3-6 times higher risk of breast cancer than women with very low breast density. Moreover, due to the masking effect of the dense tissue, any breast tumours present are more difficult to detect in these women. With the results of the DENSE trial, the investigators showed that among women with extremely dense breasts, a combination of MRI and mammography could detect tumours earlier than mammography only. As the implementation of MRI in the screening program induces considerable costs and capacity requirements, the Dutch Ministry of Health would like to investigate whether cheaper and acceptable alternatives can be implemented more easily. In the DENSE-2 study, proposed here, we will investigate contrast-enhanced mammography and an abbreviated form of MRI as alternatives, in a large-scale randomized trial, within the current population-based screening program.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Automated Breast Ultrasound and Digital Breast Tomosynthesis Screening Compared to Full Field Digital Mammography in Women With Dense Breasts#830189
- Accurate, Rapid and Inexpensive MRI Protocol for Breast Cancer Screening#981794
- Surveillance Imaging Modalities for Breast Cancer Assessment#1088296
- Magnetic Resonance Imaging in Women Recently Diagnosed With Unilateral Breast Cancer#892378
- Evaluation of a Three Dimensional Functional Metabolic Imaging and Risk Assessment System in Classifying Women for Likelihood of Breast Cancer#1060273
Record · ID 877418
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive