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ManiNeg: Manifestation-guided multimodal pretraining for mammography screening.

Comput Biol Med

January 2025

School of Automation Science and Engineering, South China University of Technology, Guangzhou, China. Electronic address:

Breast cancer poses a significant health threat worldwide. Contrastive learning has emerged as an effective method to extract critical lesion features from mammograms, thereby offering a potent tool for breast cancer screening and analysis. A crucial aspect of contrastive learning is negative sampling, where the selection of hard negative samples is essential for driving representations to retain detailed lesion information.

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Giant triple negative pregnancy-associated breast cancer (PABC) in a young woman: From diagnosis to therapy step by step: A case report.

Radiol Case Rep

March 2025

Department of Diagnostic Imaging, Oncological Radiotherapy, and Hematology, Diagnostic Imaging Area, Italy.

Pregnancy-associated breast cancer (PABC) presents unique challenges. This type of breast cancer is often more aggressive than that diagnosed in nonpregnant women, and its diagnosis is frequently delayed. Several factors contribute to this delay, including the physiological changes that occur during pregnancy, such as breast enlargement, breast tenderness and increased tissue density, which can mask early signs of malignancy.

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Breast arterial calcification (BAC) is a common benign finding on a screening mammogram. Additionally, BAC is a type of medial calcification known as Mönckeberg medial calcific sclerosis, which differs from the intimal calcification seen in patients with coronary artery disease (CAD). Recently, BAC has appeared as a new cardiovascular risk stratification method.

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Background The incidence of margin re-excision following breast conserving surgery (BCS) is a quality measure in the National Health Service. The threshold is less than 20% of all BCS procedures. Despite three decades of studies and a wealth of literature identifying multiple factors associated with increased risk for margin involvement, an accepted threshold rate affecting one in five procedures remains high.

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Background: Breast cancer screening (BCS) inequities are evident at national and local levels, and many health systems want to address these inequities, but may lack data about contributing factors. The objective of this study was to inform health system interventions through an exploratory analysis of potential multilevel contributors to BCS inequities using health system data.

Methods: The authors conducted a cross-sectional analysis within a large academic health system including 19,774 individuals who identified as Black (n = 1445) or White (n = 18,329) race and were eligible for BCS.

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