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 …

[HTML][HTML] Artificial intelligence and early detection of pancreatic cancer: 2020 summative review

B Kenner, ST Chari, D Kelsen, DS Klimstra, SJ Pandol… - Pancreas, 2021 - journals.lww.com
Despite considerable research efforts, pancreatic cancer is associated with a dire prognosis
and a 5-year survival rate of only 10%. Early symptoms of the disease are mostly …

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 deep learning mammography-based model for improved breast cancer risk prediction

A Yala, C Lehman, T Schuster, T Portnoi, R Barzilay - Radiology, 2019 - pubs.rsna.org
Background Mammographic density improves the accuracy of breast cancer risk models.
However, the use of breast density is limited by subjective assessment, variation across …

Toward robust mammography-based models for breast cancer risk

A Yala, PG Mikhael, F Strand, G Lin, K Smith… - Science Translational …, 2021 - science.org
Improved breast cancer risk models enable targeted screening strategies that achieve
earlier detection and less screening harm than existing guidelines. To bring deep learning …

Breast cancer prevention in high-risk women

MA Thorat, R Balasubramanian - … Practice & Research Clinical Obstetrics & …, 2020 - Elsevier
Women at high risk of developing breast cancer are a heterogeneous group of women
including those with and without high-risk germline mutation/s. Prevention in these women …

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 …

Comparison of a deep learning risk score and standard mammographic density score for breast cancer risk prediction

K Dembrower, Y Liu, H Azizpour, M Eklund, K Smith… - Radiology, 2020 - pubs.rsna.org
Background Most risk prediction models for breast cancer are based on questionnaires and
mammographic density assessments. By training a deep neural network, further information …

Long-term accuracy of breast cancer risk assessment combining classic risk factors and breast density

AR Brentnall, J Cuzick, DSM Buist, EJA Bowles - JAMA oncology, 2018 - jamanetwork.com
Importance Accurate long-term breast cancer risk assessment for women attending routine
screening could help reduce the disease burden and intervention-associated harms by …

10-year performance of four models of breast cancer risk: a validation study

MB Terry, Y Liao, AS Whittemore, N Leoce… - The Lancet …, 2019 - thelancet.com
Background Independent validation is essential to justify use of models of breast cancer risk
prediction and inform decisions about prevention options and screening. Few independent …