Publications by authors named "Yesika Davila-Zablah"

Objectives: To validate the performance of Mirai, a mammography-based deep learning model, in predicting breast cancer risk over a 1-5-year period in Mexican women.

Methods: This retrospective single-center study included mammograms in Mexican women who underwent screening mammography between January 2014 and December 2016. For women with consecutive mammograms during the study period, only the initial mammogram was included.

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Background: Fibroadenoma (FA) is the most common tumor found in young women, although it can occur in any age group. Ductal carcinoma in situ (DCIS) that is confined in a FA is rare; it is most frequently reported as an incidental finding.

Case Summary: We report a case of DCIS within a FA in a 46-year-old female without cancer-related personal and family histories.

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Lymphoma is the most frequent hematologic malignancy that involves the breast. It represents less than 1% of all breast cancer. The most common subtype is the secondary B-cell lymphoma.

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