Results 1 to 10 of about 30,004 (256)

Impact of breast density on diagnostic accuracy in digital breast tomosynthesis versus digital mammography: results from a European screening trial

Breast Cancer Research, 2023
Background The diagnostic accuracy of digital breast tomosynthesis (DBT) and digital mammography (DM) in breast cancer screening may vary per breast density subgroup.
Jakob Olinder, Kristin Johnson, Anna Åkesson, Daniel Förnvik, Sophia Zackrisson   +4 more
doaj   +2 more sources

Detection of breast cancer in digital breast tomosynthesis with vision transformers. [PDF]

Sci Rep
Digital Breast Tomosynthesis (DBT) has revolutionized more traditional breast imaging through its three-dimensional (3D) visualization capability that significantly enhances lesion discernibility, reduces tissue overlap, and improves diagnostic precision
Kassis I, Lederman D, Ben-Arie G, Giladi Rosenthal M, Shelef I, Zigel Y.   +5 more
europepmc   +2 more sources

Digital breast tomosynthesis in breast cancer screening: an ethical perspective [PDF]

Insights into Imaging
Although digital breast tomosynthesis has higher sensitivity than digital mammography and at least as high specificity, digital mammography remains the most common method for conducting mammographic screening.
Simon Rosenqvist, Johan Brännmark, Magnus Dustler   +2 more
doaj   +2 more sources

Effectiveness of hybrid digital breast tomosynthesis/digital mammography in women presenting for routine screening at Maroondah BreastScreen, Australia: Interim analysis [PDF]

Breast
Hybrid digital breast tomosynthesis (DBT)/digital mammography (DM) (mediolateral oblique from DBT with synthetic 2D, craniocaudal from DM) can potentially improve breast cancer detection and address longer DBT screen-reading time.
M Luke Marinovich, Darren Lockie, Michelle Giles, Sally Doncovio, Georgina Marr, David Taylor, Tong Li, Brooke Nickel, Nehmat Houssami   +8 more
doaj   +2 more sources

Breast Cancer Screening Using Mammography, Digital Breast Tomosynthesis, and Magnetic Resonance Imaging by Breast Density.

JAMA Intern Med
Importance Information on long-term benefits and harms of screening with digital breast tomosynthesis (DBT) with or without supplemental breast magnetic resonance imaging (MRI) is needed for clinical and policy discussions, particularly for patients with
Stout NK, Miglioretti DL, Su YR, Lee CI, Abraham L, Alagoz O, de Koning HJ, Hampton JM, Henderson L, Lowry KP, Mandelblatt JS, Onega T, Schechter CB, Sprague BL, Stein S, Trentham-Dietz A, van Ravesteyn NT, Wernli KJ, Kerlikowske K, Tosteson ANA.   +19 more
europepmc   +2 more sources

The diagnostic value of digital breast tomosynthesis with complementary ultrasound in comparison with magnetic resonance imaging in assessment of postoperative changes and locoregional recurrence of breast cancer

The Egyptian Journal of Radiology and Nuclear Medicine, 2022
Background Digital breast tomosynthesis with complementary ultrasound is a powerful imaging modality in detection of breast cancer. Magnetic resonance imaging has many limitations due to its low specificity multiple pitfalls especially signal-to-noise ...
Mai M. K. Barakat, Eman K. A. E. Mohamed, Lobna A. E. Habib, Mortada Elsayed Ahmed   +3 more
doaj   +1 more source

Role of tomosynthesis and ultrasound in the assessment of asymmetric breast densities: a comparative prospective study

The Egyptian Journal of Radiology and Nuclear Medicine, 2023
Background Tomosynthesis is a recent advancement of full-field digital mammography involves transforming two-dimensional (2D) breast images into three dimensions (3D) images.
Rasha Osama Abdel Ghany Ahmed, Mohamed Abo El-Hoda Darwish, Nivine Abd Elmoneim Chalabi, Salma Hassan Tantawy   +3 more
doaj   +1 more source

Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis.

Radiology, 2023
Background There is considerable interest in the potential use of artificial intelligence (AI) systems in mammographic screening. However, it is essential to critically evaluate the performance of AI before it can become a modality used for independent ...
J. H. Yoon, Fredrik Strand, P. Baltzer, E. Conant, F. Gilbert, C. Lehman, E. Morris, Lisa A. Mullen, R. Nishikawa, Nitasha Sharma, I. Vejborg, L. Moy, R. Mann   +12 more
semanticscholar   +1 more source

Transformer-based Deep Neural Network for Breast Cancer Classification on Digital Breast Tomosynthesis Images.

Radiology: Artificial Intelligence, 2023
Purpose To develop an efficient deep neural network model that incorporates context from neighboring image sections to detect breast cancer on digital breast tomosynthesis (DBT) images.
Weonsuk Lee, Hyeonsoo Lee, Hyunjae Lee, Eunkyung Park, Hyeonseob Nam, Thijs Kooi   +5 more
semanticscholar   +1 more source

National Performance Benchmarks for Screening Digital Breast Tomosynthesis: Update from the Breast Cancer Surveillance Consortium.

Radiology, 2023
Background It is important to establish screening mammography performance benchmarks for quality improvement efforts. Purpose To establish performance benchmarks for digital breast tomosynthesis (DBT) screening and evaluate performance trends over time ...
Christoph I. Lee, L. Abraham, D. Miglioretti, T. Onega, K. Kerlikowske, Janie M. Lee, B. Sprague, A. Tosteson, G. Rauscher, E. Bowles, R. diFlorio-Alexander, L. Henderson   +11 more
semanticscholar   +1 more source