Olivia Munn, a well-known actress, recently shared a personal and impactful story on social media about how a breast cancer risk assessment test not only saved her life but also that of her mother. Munn, who is 45 years old, revealed that her mother was diagnosed with breast cancer, a discovery made possible through the same test that had previously alerted Munn to her own health risks. She emphasized the significance of the Lifetime Risk Assessment test, which she credits for prompting her to undergo further medical evaluation.

The breast cancer risk assessment tool (BCRAT), widely used by patients and physicians, is based on the Gail Model, a statistical framework developed by Dr. Mitchell Gail of the National Cancer Institute. This tool helps predict a woman’s likelihood of developing invasive breast cancer over the next five years and up to 90 years of age. Munn had previously undergone this assessment, which led to a biopsy revealing Luminal B cancer in both breasts—a particularly aggressive form of cancer.

The BCRAT calculates “absolute breast cancer risk” by considering factors such as age, race, medical history, reproductive history, and family history of breast cancer. A score is generated to indicate risk level; a five-year risk score of 1.67% or higher is deemed high-risk. In such cases, healthcare providers might recommend preventive measures.

Dr. Nicole Saphier, a board-certified breast imaging radiologist at Memorial Sloan Kettering Cancer Center, advocates for personalized risk assessments. She notes that while standard mammograms suffice for many women, others may benefit from additional imaging like ultrasounds or MRIs based on individual risk factors. Saphier highlighted Munn’s case as an example of how personalized assessments can be life-saving.

Munn’s experience underscores the importance of early detection and personalized healthcare strategies in managing breast cancer risks. Her story serves as a powerful reminder of the potential impact of proactive health screenings.