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This study is to find out if 3.0 Tesla (3.0-T) Magnetic Resonance Imaging (MRI) will improve in diagnosing breast cancer in women with high-risk of breast cancer.
Full description
Life time risk of developing breast cancer is greatly elevated in women with familial breast cancer, especially in BRCA carriers. Prevention and early detection strategies in these high risk women include risk reducing surgery, chemoprevention and close surveillance with semiannual clinical breast exams and yearly mammograms starting at age 25-35. Unfortunately, screening mammography detects only half the breast cancers in mutation carriers, presumably due to higher breast density in the younger women and perhaps due to inherent characteristics of their tumors such as rapid growth. In light of these limitations in this high risk group, some have suggested incorporation of semiannual mammograms and/or other imaging modalities such as ultrasound (US) and MRI.
In this study, high risk women who have a suspicious mammographic lesion - categorized as Breast Imaging Reporting and data System (BI-RADS) 4 will be recruited to undergo a breast MRI before to a biopsy of the suspicious abnormality. All women will undergo a biopsy as a part of her standard of care. The results of the MRI will not influence our decision on whether a biopsy should be performed. The MRI results will be compared with the biopsy results with pathology as the gold standard.
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Inclusion criteria
Exclusion criteria
Pregnancy or lactating women
Contraindications for MRI:
Although a women meets our criteria for high risks for breast cancer and has an abnormal mammogram, she will be excluded from our study if her insurer does not provide payment for the breast MRI. The suspicious lesion will be biopsied under mammographic guidance as part of her standard of care. The third party carriers have been reimbursing payment for a breast MRI in these high risk women, especially after the ACS guidelines were released in 2007. Therefore, this outcome is unlikely to occur.
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Interventional model
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0 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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