Artificial intelligence to support person-centred care in breast imaging-A scoping review

M Champendal, L Marmy, C Malamateniou… - Journal of medical …, 2023 - Elsevier
Abstract Aim To overview Artificial Intelligence (AI) developments and applications in breast
imaging (BI) focused on providing person-centred care in diagnosis and treatment for breast …

Studies of parenchymal texture added to mammographic breast density and risk of breast cancer: a systematic review of the methods used in the literature

A Anandarajah, Y Chen, GA Colditz, A Hardi… - Breast Cancer …, 2022 - Springer
This systematic review aimed to assess the methods used to classify mammographic breast
parenchymal features in relation to the prediction of future breast cancer. The databases …

Blood DNA methylation profiles improve breast cancer prediction

JK Kresovich, Z Xu, KM O'Brien, M Shi… - Molecular …, 2022 - Wiley Online Library
Although blood DNA methylation (DNAm) profiles are reported to be associated with breast
cancer incidence, they have not been widely used in breast cancer risk assessment. Among …

Causal relationships between breast cancer risk factors based on mammographic features

Z Ye, TL Nguyen, GS Dite, RJ MacInnis… - Breast Cancer …, 2023 - Springer
Background Mammogram risk scores based on texture and density defined by different
brightness thresholds are associated with breast cancer risk differently and could reveal …

Interval breast cancer risk associations with breast density, family history and breast tissue aging

TL Nguyen, S Li, GS Dite, YK Aung… - … journal of cancer, 2020 - Wiley Online Library
Interval breast cancers (those diagnosed between recommended mammography screens)
generally have poorer outcomes and are more common among women with dense breasts …

Joint association of mammographic density adjusted for age and body mass index and polygenic risk score with breast cancer risk

CM Vachon, CG Scott, RM Tamimi, DJ Thompson… - Breast cancer …, 2019 - Springer
Background Mammographic breast density, adjusted for age and body mass index, and a
polygenic risk score (PRS), comprised of common genetic variation, are both strong risk …

Variance of age-specific log incidence decomposition (VALID): a unifying model of measured and unmeasured genetic and non-genetic risks

JL Hopper, JG Dowty, TL Nguyen, S Li… - International Journal …, 2023 - academic.oup.com
Background The extent to which known and unknown factors explain how much people of
the same age differ in disease risk is fundamental to epidemiology. Risk factors can be …

Novel mammogram‐based measures improve breast cancer risk prediction beyond an established mammographic density measure

TL Nguyen, DF Schmidt, E Makalic… - … Journal of Cancer, 2021 - Wiley Online Library
Mammograms contain information that predicts breast cancer risk. We developed two novel
mammogram‐based breast cancer risk measures based on image brightness …

Going beyond conventional mammographic density to discover novel mammogram-based predictors of breast cancer risk

JL Hopper, TL Nguyen, DF Schmidt, E Makalic… - Journal of Clinical …, 2020 - mdpi.com
This commentary is about predicting a woman's breast cancer risk from her mammogram,
building on the work of Wolfe, Boyd and Yaffe on mammographic density. We summarise …

Association and prediction utilizing craniocaudal and mediolateral oblique view digital mammography and long-term breast cancer risk

S Chen, RM Tamimi, GA Colditz, S Jiang - Cancer Prevention Research, 2023 - AACR
Mammographic percentage of volumetric density is an important risk factor for breast cancer.
Epidemiology studies historically used film images often limited to craniocaudal (CC) views …