Predicting five-year interval second breast cancer risk in women with prior breast cancer.

ABSTRACT:

Background

Annual surveillance mammography is recommended for women with a personal history of breast cancer. Risk prediction models that estimate mammography failures such as interval second breast cancers could help to tailor surveillance imaging regimens to women's individual risk profiles.

Methods

In a cohort of women with a history of breast cancer receiving surveillance mammography in the Breast Cancer Surveillance Consortium in 1996-2019, we used Least Absolute Shrinkage and Selection Operator (LASSO)-penalized regression to estimate the probability of an interval second cancer (invasive cancer or ductal carcinoma in situ) in the 1 year after a negative surveillance mammogram. Based on predicted risks from this one-year risk model, we generated cumulative risks of an

SUBMITTER: Hubbard RA 

PROVIDER: S-EPMC11160498 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature