Results 51 to 60 of about 30,004 (256)

Comparison of Abbreviated Breast MRI vs Digital Breast Tomosynthesis for Breast Cancer Detection Among Women With Dense Breasts Undergoing Screening.

Journal of the American Medical Association (JAMA), 2020
Importance Improved screening methods for women with dense breasts are needed because of their increased risk of breast cancer and of failed early diagnosis by screening mammography.
C. Comstock, C. Gatsonis, G. Newstead, B.S. Snyder, Ilana F. Gareen, Jennifer T Bergin, H. Rahbar, Janice S. Sung, Christina Jacobs, J. Harvey, Mary H Nicholson, R. C. Ward, Jacqueline Holt, Andrew Prather, K. Miller, M. Schnall, C. Kuhl   +16 more
semanticscholar   +1 more source

A risk model for digital breast tomosynthesis to predict breast cancer and guide clinical care

Science Translational Medicine, 2022
Screening with digital breast tomosynthesis (DBT) improves breast cancer detection and reduces false positives. However, currently, no breast cancer risk model takes advantage of the additional information generated by DBT imaging for breast cancer risk ...
M. Eriksson, S. Destounis, K. Czene, A. Zeiberg, R. Day, E. Conant, K. Schilling, P. Hall   +7 more
semanticscholar   +1 more source

Awareness, interest, and preferences of primary care providers in using point-of-care cancer screening technology [PDF]

, 2016
Well-developed point-of-care (POC) cancer screening tools have the potential to provide better cancer care to patients in both developed and developing countries.
Cho, Margaret, Huang, Franklin W., Kim, Chloe S., Klapperich, Catherine, Vanture, Sarah, Wang, Catharine   +5 more
core   +3 more sources

Image quality comparison of synthesized two‐dimensional images and digital mammography in breast tomosynthesis: A quantitative analysis

Journal of Applied Clinical Medical Physics, Volume 27, Issue 4, April 2026.
Abstract Background Breast cancer remains a leading cause of cancer‐related morbidity and mortality worldwide. Early detection of breast cancer using high‐quality mammography is essential for improving prognosis and treatment outcomes. Digital breast tomosynthesis with synthesized two‐dimensional mammography (SM) reduces dose and tissue overlap ...
Kazumi Sogabe, Sho Maruyama, Nao Koyama, Hiroki Saito   +3 more
wiley   +1 more source

Screening-detected desmoid tumor of the breast: findings at conventional imaging and digital breast tomosynthesis

Acta Radiologica Open, 2018
Desmoid tumor of the breast is a rare benign entity that usually is mistaken for carcinoma clinically and radiologically. We report two cases of desmoid tumor of the breast detected by mammography screening using digital breast tomosynthesis (DBT).
Tatjana Samardzic, Jon Lømo, Per Skaane
doaj   +1 more source

AI-enhanced Mammography With Digital Breast Tomosynthesis for Breast Cancer Detection: Clinical Value and Comparison With Human Performance.

Radiology: Imaging Cancer
Purpose To compare two deep learning-based commercially available artificial intelligence (AI) systems for mammography with digital breast tomosynthesis (DBT) and benchmark them against the performance of radiologists.
Daphne Resch, Roberto Lo Gullo, Jonas Teuwen, F. Semturs, J. Hummel, A. Resch, K. Pinker   +6 more
semanticscholar   +1 more source

Differential detection by breast density for digital breast tomosynthesis versus digital mammography population screening: a systematic review and meta-analysis

British Journal of Cancer, 2022
We examined whether digital breast tomosynthesis (DBT) detects differentially in high- or low-density screens. We searched six databases (2009–2020) for studies comparing DBT and digital mammography (DM), and reporting cancer detection rate (CDR) and/or ...
Tong Li, N. Houssami, Naomi Noguchi, Aileen Zeng, M. Marinovich   +4 more
semanticscholar   +1 more source

Deep learning networks find unique mammographic differences in previous negative mammograms between interval and screen-detected cancers: a case-case study. [PDF]

, 2019
BackgroundTo determine if mammographic features from deep learning networks can be applied in breast cancer to identify groups at interval invasive cancer risk due to masking beyond using traditional breast density measures.MethodsFull-field digital ...
Fan, Bo, Greenwood, Heather, Hinton, Benjamin, Joe, Bonnie, Kerlikowske, Karla, Lee, Vivian, Ma, Lin, Mahmoudzadeh, Amir Pasha, Malkov, Serghei, Shepherd, John   +9 more
core   +1 more source

Digital Breast Tomosynthesis: Radiologist Learning Curve [PDF]

Radiology, 2019
Background There is growing evidence that digital breast tomosynthesis (DBT) results in lower recall rates and higher cancer detection rates when compared with digital mammography. However, whether DBT interpretative performance changes with experience (learning curve effect) is unknown.
Diana L. Miglioretti, Linn Abraham, Christoph I. Lee, Diana S. M. Buist, Sally D. Herschorn, Brian L. Sprague, Louise M. Henderson, Anna N. A. Tosteson, Karla Kerlikowske   +8 more
openaire   +4 more sources

Impact of a Categorical AI System for Digital Breast Tomosynthesis on Breast Cancer Interpretation by Both General Radiologists and Breast Imaging Specialists.

Radiology: Artificial Intelligence
"Just Accepted" papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and proof review before it is published in its final version.
Jiye G Kim, B. Haslam, Abdul Rahman Diab, Ashwin Sakhare, Giorgia Grisot, Hyunkwang Lee, Jacqueline Holt, Christoph I. Lee, William Lotter, A. Sorensen   +9 more
semanticscholar   +1 more source