Cumulative Risk Distribution for Interval Invasive Second Breast Cancers After Negative Surveillance Mammography.
Access status:
Open Access
Type
ArticleAuthor/s
Lee, Janie M.Abraham, Linn
Lam, Diana L.
Buist, Diana S.M
Kerlikowske, Karla
Miglioretti, Diana L.
Houssami, Nehmat
Lehman, Constance D
Henderson, Louise M.
Hubbard, Rebecca A.
Abstract
The aim of the current study was to characterize the risk of interval invasive second breast cancers within 5 years of primary breast cancer treatment.
We examined 65,084 surveillance mammograms from 18,366 women with a primary breast cancer diagnosis of unilateral ductal carcinoma ...
See moreThe aim of the current study was to characterize the risk of interval invasive second breast cancers within 5 years of primary breast cancer treatment. We examined 65,084 surveillance mammograms from 18,366 women with a primary breast cancer diagnosis of unilateral ductal carcinoma in situ or stage I to III invasive breast carcinoma performed from 1996 to 2012 in the Breast Cancer Surveillance Consortium. Interval invasive breast cancer was defined as ipsilateral or contralateral cancer diagnosed within 1 year after a negative surveillance mammogram. Discrete-time survival models—adjusted for all covariates—were used to estimate the probability of interval invasive cancer, given the risk factors for each surveillance round, and aggregated across rounds to estimate the 5-year cumulative probability of interval invasive cancer.
See less
See moreThe aim of the current study was to characterize the risk of interval invasive second breast cancers within 5 years of primary breast cancer treatment. We examined 65,084 surveillance mammograms from 18,366 women with a primary breast cancer diagnosis of unilateral ductal carcinoma in situ or stage I to III invasive breast carcinoma performed from 1996 to 2012 in the Breast Cancer Surveillance Consortium. Interval invasive breast cancer was defined as ipsilateral or contralateral cancer diagnosed within 1 year after a negative surveillance mammogram. Discrete-time survival models—adjusted for all covariates—were used to estimate the probability of interval invasive cancer, given the risk factors for each surveillance round, and aggregated across rounds to estimate the 5-year cumulative probability of interval invasive cancer.
See less
Date
2018Source title
Journal of Clinical OncologyVolume
36Issue
20Publisher
Lippincott, Williams & WilkinsLicence
Creative Commons Attribution 4.0Faculty/School
Faculty of Medicine and Health, Sydney School of Public HealthShare