Key steps for effective breast cancer prevention

KL Britt, J Cuzick, KA Phillips - Nature Reviews Cancer, 2020 - nature.com
Despite decades of laboratory, epidemiological and clinical research, breast cancer
incidence continues to rise. Breast cancer remains the leading cancer-related cause of …

Personalized early detection and prevention of breast cancer: ENVISION consensus statement

N Pashayan, AC Antoniou, U Ivanus… - Nature reviews Clinical …, 2020 - nature.com
Abstract The European Collaborative on Personalized Early Detection and Prevention of
Breast Cancer (ENVISION) brings together several international research consortia working …

Breast cancer screening for women at higher-than-average risk: updated recommendations from the ACR

DL Monticciolo, MS Newell, L Moy, CS Lee… - Journal of the American …, 2023 - Elsevier
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 …

A population-based study of genes previously implicated in breast cancer

C Hu, SN Hart, R Gnanaolivu, H Huang… - … England Journal of …, 2021 - Mass Medical Soc
Background Population-based estimates of the risk of breast cancer associated with
germline pathogenic variants in cancer-predisposition genes are critically needed for risk …

Polygenic and clinical risk scores and their impact on age at onset and prediction of cardiometabolic diseases and common cancers

N Mars, JT Koskela, P Ripatti, TTJ Kiiskinen… - Nature medicine, 2020 - nature.com
Polygenic risk scores (PRSs) have shown promise in predicting susceptibility to common
diseases,–. We estimated their added value in clinical risk prediction of five common …

The current status of risk-stratified breast screening

AK Clift, D Dodwell, S Lord, S Petrou, SM Brady… - British journal of …, 2022 - nature.com
Apart from high-risk scenarios such as the presence of highly penetrant genetic mutations,
breast screening typically comprises mammography or tomosynthesis strategies defined by …

Prospective validation of the BOADICEA multifactorial breast cancer risk prediction model in a large prospective cohort study

X Yang, M Eriksson, K Czene, A Lee, G Leslie… - Journal of medical …, 2022 - jmg.bmj.com
Background The multifactorial Breast and Ovarian Analysis of Disease Incidence and
Carrier Estimation Algorithm (BOADICEA) breast cancer risk prediction model has been …

Artificial intelligence applications in breast imaging: current status and future directions

CR Taylor, N Monga, C Johnson, JR Hawley, M Patel - Diagnostics, 2023 - mdpi.com
Attempts to use computers to aid in the detection of breast malignancies date back more
than 20 years. Despite significant interest and investment, this has historically led to minimal …

Personalized risk assessment for prevention and early detection of breast cancer: integration and implementation (PERSPECTIVE I&I)

JD Brooks, H Nabi, IL Andrulis, AC Antoniou… - Journal of personalized …, 2021 - mdpi.com
Early detection of breast cancer through screening reduces breast cancer mortality. The
benefits of screening must also be considered within the context of potential harms (eg, false …

Deep learning vs traditional breast cancer risk models to support risk-based mammography screening

CD Lehman, S Mercaldo, LR Lamb… - Journal Of The …, 2022 - academic.oup.com
Background Deep learning breast cancer risk models demonstrate improved accuracy
compared with traditional risk models but have not been prospectively tested. We compared …