Beyond breast density: risk measures for breast cancer in multiple imaging modalities
RJ Acciavatti, SH Lee, B Reig, L Moy, EF Conant… - Radiology, 2023 - pubs.rsna.org
Breast density is an independent risk factor for breast cancer. In digital mammography and
digital breast tomosynthesis, breast density is assessed visually using the four-category …
digital breast tomosynthesis, breast density is assessed visually using the four-category …
Breast cancer screening for women at higher-than-average risk: updated recommendations from the ACR
Early detection decreases breast cancer death. The ACR recommends annual screening
beginning at age 40 for women of average risk and earlier and/or more intensive screening …
beginning at age 40 for women of average risk and earlier and/or more intensive screening …
Implementing the national dense breast reporting standard, expanding supplemental screening using current guidelines, and the proposed Find It Early Act
WA Berg, RL Seitzman, JA Pushkin - Journal of Breast Imaging, 2023 - academic.oup.com
Thirty-eight states and the District of Columbia (DC) have dense breast notification laws that
mandate varying levels of patient notification about breast density after a mammogram, and …
mandate varying levels of patient notification about breast density after a mammogram, and …
Long-term performance of an image-based short-term risk model for breast cancer
M Eriksson, K Czene, C Vachon, EF Conant… - Journal of Clinical …, 2023 - ascopubs.org
PURPOSE Image-derived artificial intelligence–based short-term risk models for breast
cancer have shown high discriminatory performance compared with traditional …
cancer have shown high discriminatory performance compared with traditional …
European validation of an image-derived AI-based short-term risk model for individualized breast cancer screening—a nested case-control study
M Eriksson, M Román, A Gräwingholt… - The Lancet Regional …, 2024 - thelancet.com
Background Image-derived artificial intelligence (AI)-based risk models for breast cancer
have shown high discriminatory performances compared with clinical risk models based on …
have shown high discriminatory performances compared with clinical risk models based on …
Breast cancer screening with digital breast tomosynthesis: comparison of different reading strategies implementing artificial intelligence
V Dahlblom, M Dustler, A Tingberg, S Zackrisson - European Radiology, 2023 - Springer
Objectives Digital breast tomosynthesis (DBT) can detect more cancers than the current
standard breast screening method, digital mammography (DM); however, it can substantially …
standard breast screening method, digital mammography (DM); however, it can substantially …
Breast cancer risk prediction using machine learning: a systematic review
Background Breast cancer is the leading cause of cancer-related fatalities among women
worldwide. Conventional screening and risk prediction models primarily rely on …
worldwide. Conventional screening and risk prediction models primarily rely on …
External validation of a mammography-derived AI-based risk model in a US Breast cancer screening cohort of white and black women
Simple Summary The aim of this study was to perform an external validation in a US
screening cohort of a mammography-derived AI risk model that was originally developed in …
screening cohort of a mammography-derived AI risk model that was originally developed in …
Enhancing breast cancer risk prediction by incorporating prior images
Recently, deep learning models have shown the potential to predict breast cancer risk and
enable targeted screening strategies, but current models do not consider the change in the …
enable targeted screening strategies, but current models do not consider the change in the …
A clinical risk model for personalized screening and prevention of breast cancer
M Eriksson, K Czene, C Vachon, EF Conant, P Hall - Cancers, 2023 - mdpi.com
Simple Summary We investigated the benefits of adding lifestyle and familial risk factors to a
mammographic image-derived short-term AI risk model in a 10-year follow-up study for its …
mammographic image-derived short-term AI risk model in a 10-year follow-up study for its …