Racial discrimination among women seeking breast cancer care.

Discrimination can contribute to worse health outcomes, but its prevalence in breast cancer is not well studied. We aimed to understand how women with stage I-III breast cancer faced discrimination in health care and everyday settings through the Everyday Discrimination Scale, cross-sectional survey. 296 women, 178 (60%) Non-Hispanic White (NHW), 76 (26%) Non-Hispanic Black (NHB), and 42 (14%) Hispanic participated.

Metastatic Lung Lesion Changes in Follow-up Chest CT: The Advantage of Deep Learning Simultaneous Analysis of Prior and Current Scans With SimU-Net.

Purpose: Radiological follow-up of oncology patients requires the detection of metastatic lung lesions and the quantitative analysis of their changes in longitudinal imaging studies. Our aim was to evaluate SimU-Net, a novel deep learning method for the automatic analysis of metastatic lung lesions and their temporal changes in pairs of chest CT scans.

Materials And Methods: SimU-Net is a simultaneous multichannel 3D U-Net model trained on pairs of registered prior and current scans of a patient.

EXTREME VALUES OF THE FIEDLER VECTOR ON TREES.

Let be a tree on vertices and let denote the Laplacian matrix on . The second-smallest eigenvalue , also known as the algebraic connectivity, as well as the associated eigenvector have been of substantial interest. We investigate the question of when the maxima and minima of an associated eigenvector are assumed at the endpoints of the longest path in .

Assessing the Inner Setting among Massachusetts Community Health Centers: Opportunities for Multilevel Investigation and Expansion of Influences on Health Equity.

Background: Implementation science increasingly aims to improve equity in delivery of evidence-based interventions. It is important to expand the conceptualization of the inner setting, organizations like community health centers where interventions are put into place, accordingly. Taking a comprehensive, partnered approach to measuring the inner setting among a network of community health centers engaged in implementation research ensures assessment of the variability among sites and generates centralized contextual data that can be applied across studies.