AbstractOne size does not fit all for breast cancer screening. Early detection and prevention are most effective for those most at risk. Several United States organizations recommend offering annual screening breast magnetic resonance imaging in addition to mammography for women with > 20% lifetime risk for breast cancer using models that take extensive family history into account. The purpose of this article is to help nurse practitioners make critical decisions about breast cancer screening and referrals to genetic services for women based on their lifetime risk for breast cancer. This article reviews several software-based risk assessment models and provides instructions for using the Tyrer-Cuzick model
BackgroundSeveral studies have proposed personalized strategies based on women's individual breast c...
Breast cancer (BC) risk assessment models base their estimations on different aspects of a woman’s p...
Aims The aim of this thesis was to establish a novel dose and risk model that could serve to accu...
AbstractOne size does not fit all for breast cancer screening. Early detection and prevention are mo...
BACKGROUND: Clinical guidelines for breast cancer chemoprevention and MRI screening involve estimate...
BACKGROUND: Clinical guidelines for breast cancer chemoprevention and MRI screening involve estimate...
BACKGROUND: The clinical utility of machine-learning (ML) algorithms for breast cancer risk predicti...
he lifetime cumulative incidence rate of breast cancer ranges from one in seven to one in nine. This...
To show differences and similarities between risk estimation models for breast cancer in healthy wom...
Background: Several studies have proposed personalized strategies based on women's individual breast...
A "high-risk situation" is present when the lifetime risk of developing breast cancer is ≥ 30%. Curr...
Background: In the UK, women are invited for 3-yearly mammography screening, through the NHS Breast ...
BACKGROUND AND PURPOSE: The performance of mammography screening programmes is focussed mainly on br...
To show differences and similarities between risk estimation models for breast cancer in healthy wom...
Background: Overdiagnosis is commonly defined as a diagnosis of "disease" which will never cause sym...
BackgroundSeveral studies have proposed personalized strategies based on women's individual breast c...
Breast cancer (BC) risk assessment models base their estimations on different aspects of a woman’s p...
Aims The aim of this thesis was to establish a novel dose and risk model that could serve to accu...
AbstractOne size does not fit all for breast cancer screening. Early detection and prevention are mo...
BACKGROUND: Clinical guidelines for breast cancer chemoprevention and MRI screening involve estimate...
BACKGROUND: Clinical guidelines for breast cancer chemoprevention and MRI screening involve estimate...
BACKGROUND: The clinical utility of machine-learning (ML) algorithms for breast cancer risk predicti...
he lifetime cumulative incidence rate of breast cancer ranges from one in seven to one in nine. This...
To show differences and similarities between risk estimation models for breast cancer in healthy wom...
Background: Several studies have proposed personalized strategies based on women's individual breast...
A "high-risk situation" is present when the lifetime risk of developing breast cancer is ≥ 30%. Curr...
Background: In the UK, women are invited for 3-yearly mammography screening, through the NHS Breast ...
BACKGROUND AND PURPOSE: The performance of mammography screening programmes is focussed mainly on br...
To show differences and similarities between risk estimation models for breast cancer in healthy wom...
Background: Overdiagnosis is commonly defined as a diagnosis of "disease" which will never cause sym...
BackgroundSeveral studies have proposed personalized strategies based on women's individual breast c...
Breast cancer (BC) risk assessment models base their estimations on different aspects of a woman’s p...
Aims The aim of this thesis was to establish a novel dose and risk model that could serve to accu...