Breast Cancer Risk Calculator
Estimate your 5-year and lifetime breast cancer risk with the Gail model. Enter your age, family history, and biopsy results to get free results instantly.
What Is the Gail Model?
The Gail model (Breast Cancer Risk Assessment Tool) estimates a woman's probability of developing invasive breast cancer over the next five years using age, reproductive history, biopsy history, family history, and race-specific baseline hazards from NCI data. Women at or above 1.67% 5-year risk are often considered for preventive counseling. See also the Breast Cancer Recurrence Risk Calculator and Heart Disease Risk Calculator.
Gail Model Formula
Relative risk comes from a logistic regression of personal factors. Absolute 5-year risk integrates age-specific breast cancer hazards ($\lambda_1$) and competing mortality ($\lambda_2$) over the projection interval:
$$P = 1 - \exp\left(-\sum \frac{\lambda_1 \cdot RR}{\lambda_1 \cdot RR + \lambda_2} \cdot \Delta t\right)$$
where $RR$ is the relative risk multiplier from the Gail covariates and $\Delta t$ is time spent in each age band.
High-Risk Threshold
A 5-year risk of 1.67% or higher meets the FDA guideline used when discussing risk-reducing medications such as tamoxifen for eligible women.
Frequently Asked Questions
Who should use the Gail model?
It is intended for women aged 35 to 85 without a personal history of breast cancer, LCIS, or DCIS, and without known BRCA mutations.
What does 1.67% high risk mean?
It means the estimated 5-year invasive breast cancer probability meets the threshold where preventive therapy is often discussed with a clinician.
How does race affect the result?
The model uses race-specific incidence and mortality tables because baseline breast cancer rates differ across U.S. populations.
Does atypical hyperplasia change risk?
Yes. Atypical hyperplasia on biopsy increases relative risk through a dedicated multiplier in the Gail calculation.
Is this a diagnosis tool?
No. It estimates statistical risk for screening conversations and cannot predict whether any individual will develop cancer.