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 …

Breast MRI: state of the art

RM Mann, N Cho, L Moy - Radiology, 2019 - pubs.rsna.org
MRI of the breast has the highest sensitivity for breast cancer detection among current
clinical imaging modalities and is indispensable for breast imaging practice. While the basis …

[HTML][HTML] Breast cancer screening in women with extremely dense breasts recommendations of the European Society of Breast Imaging (EUSOBI)

RM Mann, A Athanasiou, PAT Baltzer… - European …, 2022 - Springer
Breast density is an independent risk factor for the development of breast cancer and also
decreases the sensitivity of mammography for screening. Consequently, women with …

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 …

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 …

Artificial intelligence for mammography and digital breast tomosynthesis: current concepts and future perspectives

KJ Geras, RM Mann, L Moy - Radiology, 2019 - pubs.rsna.org
Although computer-aided diagnosis (CAD) is widely used in mammography, conventional
CAD programs that use prompts to indicate potential cancers on the mammograms have not …

[HTML][HTML] 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 …

Artificial intelligence in the interpretation of breast cancer on MRI

D Sheth, ML Giger - Journal of Magnetic Resonance Imaging, 2020 - Wiley Online Library
Advances in both imaging and computers have led to the rise in the potential use of artificial
intelligence (AI) in various tasks in breast imaging, going beyond the current use in …

Comparison of mammography AI algorithms with a clinical risk model for 5-year breast cancer risk prediction: an observational study

VA Arasu, LA Habel, NS Achacoso, DSM Buist… - Radiology, 2023 - pubs.rsna.org
Background Although several clinical breast cancer risk models are used to guide screening
and prevention, they have only moderate discrimination. Purpose To compare selected …

[HTML][HTML] Automated breast cancer detection in digital mammograms of various densities via deep learning

YJ Suh, J Jung, BJ Cho - Journal of personalized medicine, 2020 - mdpi.com
Mammography plays an important role in screening breast cancer among females, and
artificial intelligence has enabled the automated detection of diseases on medical images …