Cancer risk prediction models provide an important approach to
assess risk and susceptibility by identifying individuals at high
risk, facilitating the design and planning of clinical
chemoprevention trials, and allowing the evaluation of
interventions. Conventional breast cancer risk model includes the
cumulative estrogen exposure data such as age, age at menarche and
menopause, age at first live birth, and use of HRT in risk
calculation, since estrogens are the main risk factor for mammary
carcinogenesis. The most widely known and commonly used model for
breast cancer risk assessment is the Gail model, which focuses
primarily on non-genetic risk factors, with limited information on
family history. The first chapter of this book examines breast
cancer risk assessment models. The following chapters discuss the
association between obesity and breast cancer development; current
and future standards for treatment of breast cancer and long term
care of patients; and mastectomies and voluntarism.
General
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