Image evaluation and breast density categories as a function of mammary positioning in full-field digital mammographydoi:10.1177/0284185119884678Irene Tomoko NakanoGabriel Lucca de Oliveira SalvadorHugo Reuters SchelinValeriy DenyakHelen Jamil Khoury
Data were collected including BI-RADS category, microcalcifications, menstrual status, histopathology, lesion size, breast density, and breast volume. For the purpose of the present study, BI-RADS MG and US categories 1, 2, and 3 were considered as negative, and categories 4 and 5 were consid...
Four experienced breast radiologists received instructions regarding the use of BI-RADS and they assessed 57 mammograms into BI-RADS density categories of 1–4. The weighted kappa values for breast density between pairs of observers were 0.84 (A, B) (almost perfect agreement); 0.75 (A, C), ...
1-8 Of importance, reductions in recalls for DBT were significant across all age groups and breast density categories in our study. The ongoing controversy surrounding the age at which to begin routine mammographic screening is driven in part by the lower incidence of breast cancer and the lower...
Classification of breast lesions using cross-modal deep learning, Vol. 2017. IEEE. pp. 109–12. Mohamed AA, Berg WA, Peng H, Luo Y, Jankowitz RC, Wu S. A deep learning method for classifying mammographic breast density categories. Med Phys. 2017. Glorot X, Bordes A, Bengio Y. Deep...
leading to more false positive recalls.#Breast density can mask cancers leading to underdiagnosis on mammography.#Interval cancer rate increased with breast density categories 'a' to 'd'; 1.8 to 7.9 per thousand.#Recall rates increased with increasing breast density, leading to more false positive...
Mammography for the diagnosis of early breast cancer (BC) relies heavily on the identification of breast masses. However, in the early stages, it might be challenging to ascertain whether a breast mass is benign or malignant. Consequently, many deep lear
Women from all states expressed a strong desire for more information about breast density.More research needs to be done to understand how the medical community can best assist women in making informed decisions related to breast density, mammography, and supplemental screening. Options to explore ...
only improved the cancer detection rate in women withdense breasts, it also helped increase detection for women in the "fatty breast" BI-RADS categories. The addition of tomosynthesis to FFDM improved thecancer detectionrate from 68 percent to 84 percent inwomenwith BI-RADS density 1 or 2 ...
The objectives of this study were to assess breast density knowledge and breast density awareness, and to identify information associated with intention to complete routine and supplemental screening for breast cancer in a diverse sample of women age eligible for mammography. We quantitatively (self-rep...