Breast cancer is one of the most common cancers among women. Approximately one in eight women in the United States will develop breast cancer during their lifetime, and, of these, about 20–30% will ultimately die of the disease.
1 Thus, early detection and accurate diagnosis of breast cancer are important. Existing clinical methods used for breast cancer screening and diagnosis, however, have drawbacks. X-ray mammography, for example, has an
false-negative rate in women under 50
2 and sometimes cannot accurately distinguish between benign and malignant tumors.
3 Even though the false-positive rate of individual mammography is less than 10%,
4, 5 18% of women with no breast cancer will have undergone a biopsy after 10 mammograms.
5 Techniques such as ultrasound and magnetic resonance imaging (MRI) are sometimes used in addition to X-ray mammography, but they have limitations such as high cost, low throughput, limited specificity (MRI), and low sensitivity (ultrasound). Thus, new methods are needed to detect cancers earlier for treatment, to detect cancers missed by mammography,
6, 7, 8 to reduce the false-positive rate,
4, 5 and to monitor tumor progression during cancer therapy.