Results 11 to 20 of about 320,663 (266)
Breast density analysis of digital breast tomosynthesis
AbstractMammography shifted to digital breast tomosynthesis (DBT) in the US. An automated percentage of breast density (PD) technique designed for two-dimensional (2D) applications was evaluated with DBT using several breast cancer risk prediction measures: normalized-volumetric; dense volume; applied to the volume slices and averaged (slice-mean); and
John Heine +4 more
openaire +3 more sources
Automated Breast Ultrasound in Further Examination of Women with Dense Breasts
A review of current foreign and Russian literature on automated breast ultrasound (ABUS) is presented. The publications were searched in PubMed/MEDLINE and eLibrary databases.
К. А. Eliseeva +3 more
doaj +1 more source
Studies have shown that the use of artificial intelligence can reduce errors in medical image assessment. The diagnosis of breast cancer is an essential task; however, diagnosis can include ‘detection’ and ‘interpretation’ errors. Studies to reduce these
Dennis Jay Wong +7 more
doaj +1 more source
The California Breast Density Information Group: A Collaborative Response to the Issues of Breast Density, Breast Cancer Risk, and Breast Density Notification Legislation [PDF]
In anticipation of breast density notification legislation in the state of California, which would require notification of women with heterogeneously and extremely dense breast tissue, a working group of breast imagers and breast cancer risk specialists was formed to provide a common response framework.
Elissa R, Price +16 more
openaire +2 more sources
The gut microbiome has been linked to breast cancer via immune, inflammatory, and hormonal mechanisms. We examined the relation between adolescent breast density and gut microbial composition and function in a cohort of Chilean girls.
Lara S. Yoon +9 more
doaj +1 more source
Background Given the growth in dense breast notification (DBN) legislation in the United States, we examined the association between different types of DBN laws and supplemental screening behaviors among women.
Jenerius A. Aminawung +6 more
doaj +1 more source
Chest CT for Breast Cancer Diagnosis
Background: We report the results of our retrospective analysis of the ability of standard chest CT scans to correctly diagnose cancer in the breast. Methods: Four hundred and fifty-three consecutive women with chest CT scans (contrast and non-contrast ...
Elise Desperito +7 more
doaj +1 more source
Benign breast disease and changes in mammographic breast density [PDF]
AbstractBackgroundMammographic breast density (MBD) and benign breast disease (BBD) are two of the strongest risk factors for breast cancer. Understanding trends in MBD by age and parity in women with BBD is essential to the clinical management and prevention of breast cancer.MethodsUsing data from the Early Determinants of Mammographic Density (EDMD ...
Laura L. Reimers +8 more
openaire +5 more sources
Machine Learning Approaches with Textural Features to Calculate Breast Density on Mammography
Background: breast cancer (BC) is the world’s most prevalent cancer in the female population, with 2.3 million new cases diagnosed worldwide in 2020. The great efforts made to set screening campaigns, early detection programs, and increasingly targeted ...
Mario Sansone +12 more
doaj +1 more source
Aim: To compare digital breast tomosynthesis (DBT) and ultrasound in women recalled for assessment after a positive screening mammogram and assess the potential for each of these tools to reduce unnecessary biopsies.
Ibrahim Hadadi +5 more
doaj +1 more source

