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Can we use breast density measurement to indicate whether mammography or MRI can best be used to screen women with familial risk for breast cancer?

Breast density in women with familial risk as indicator for the use of mammography or MRI to screen for breast cancer: A RCT.

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
NL-OMON
Registry ID
NL-OMON28552
Enrollment
2000
Registered
2011-03-03
Start date
2011-01-15
Completion date
Unknown
Last updated
2024-02-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Breast Cancer, Neoplasm Mammae, Screening, MRI, Mammography, Breast Density Borst kanker, Neoplasma Mammae, Screening, MRI, mammografie, borstdensiteit

Interventions

1. MRI with clinical examination yearly + mammography every other year (year 1 + 3) (n=1000
2. Mammography with clinical examination yearly (n=1000).

Sponsors

Erasmus MC, Daniel den Hoed Clinic, Faculty of Medicine, Department of Surgical Oncology
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. Cumulative Life Time Risk ≥20%, defined by Claus Adjusted Tables; 2. Age at inclusion 30-55 years, or 5 years younger than youngest case of breast cancer in family; 3. Willing to provide informed consent.

Exclusion criteria

Exclusion criteria: 1. Personal history of invasive (breast) cancer, except for basal cell carcinoma; 2. Having a (50% risk of a) known BRCA1, BRCA2 or P53 mutation; 3. Breast MRI contra-indications like kidney dysfunction or metal implantation.

Design outcomes

Primary

MeasureTime frame
The number of tumours detected at screening examinations and in between screening examinations (interval tumours), and the stage distribution at diagnosis in the different trial arms. The results will also be analyzed by density score.

Secondary

MeasureTime frame
Sensitivity, proportion of false-positive results and specificity of MRI and mammography in both arms. Furthermore breast cancer mortality reduction will be estimated using breast cancer microsimulation models (MISCAN). Cost effectiveness analyses will be performed. Costs will be calculated per quality adjusted life-year gained.

Contacts

Public ContactS. Saadatmand

Erasmus MC, Daniel den Hoed Clinic, Faculty of Medicine, Department of Surgical Oncology, Groene Hilledijk 301

s.saadatmand@erasmusmc.nl+31 (0)10 7041223

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)