Our Pipeline
Novel Device for Early Breast Cancer Detection
Breast cancer is among the most common cancers in the world. In fact, one in eight women in the United States will develop breast cancer during their lifetime. In the U.S., over 290,000 breast cancer cases and 43,780 deaths are expected to occur in 2022.
Early detection is key to survival; it increases 5-year survival rates to 99%. Yet, a major problem around the world is that not enough breast cancer is detected at early stages. This is largely due to a lack of access to screening. Even in areas where there is access to screening tools such as mammography, many women do not receive mammograms. Among a variety of imaging modalities developed for breast cancer screening, mammography is the best-studied imaging technique that has been shown to decrease breast cancer mortality as demonstrated in multiple randomized trials. However, even in the best circumstances, mammography may miss up to 20 percent of underlying breast cancers.
To address this clinically unmet need, our company is currently developing a novel medical device for the early detection of breast cancer. The device will allow for more frequent intervals of screening and will be easy to use, accessible, radiation-free, and painless. We anticipate the production, testing, and regulatory approval process of our device to take place during 2022. Ultimately, we expect the device will eventually be available throughout the world and save millions of lives; it will likely be a "game-changer" in medicine.
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References:
1) Cancer. World Health Organization. Available at https://www.who.int/news-room/fact-sheets/detail/cancer.
2) Cancer Facts and Figures 2022. American Cancer Society. Available at https://www.cancer.org/research/cancer-facts-statistics/all-cancer-facts-figures/cancer-facts-figures-2022.html
3) Early Detection. National Breast Cancer Foundation, Inc. Available at https://www.nationalbreastcancer.org/early-detection-of-breast-cancer/
4) Miglioretti DL, Abraham L, Lee CI, et al. Digital Breast Tomosynthesis: Radiologist Learning Curve. Radiology 2019; 291:34.
5) Sprague BL, Coley RY, Kerlikowske K, et al. Assessment of Radiologist Performance in Breast Cancer Screening Using Digital Breast Tomosynthesis vs Digital Mammography. JAMA Netw Open 2020; 3:e201759.
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