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Background Lung cancer is the leading cause of cancer death in the US, and significant racial disparities exist in lung cancer outcomes. For example, Black men experience higher lung cancer incidence and mortality rates than their White counterparts. New screening recommendations for low-dose computed tomography (LDCT) promote earlier detection of lung cancer in at-risk populations and can potentially help mitigate racial disparities in lung cancer mortality if administered equitably. Yet, little is known about the extent of racial differences in uptake of LDCT. Objective To evaluate potential racial disparities in LDCT screening in a large community-based cancer center in central North Carolina. Methods We conducted a retrospective study of the initial patients undergoing LDCT in a community-based cancer center (n = 262). We used the Pearson chi-squared test to assess potential racial disparities in LDCT screening. Results Study results suggest that Black patients may be less likely than White patients to receive LDCT screening when eligible (χ2 = 51.41, p Conclusion Collaboration among healthcare providers, researchers, and decision makers is needed to promote LDCT equity.

Using direct numerical simulations, the fragmentation of falling liquid droplets in a quiescent media is studied. Three simulations with different Eotvos numbers were performed. An adaptive volume of fluid(VOF) method based on octree meshing is used, providing a notable reduction of computational cost. The current video includes 4 main parts describing the fragmentation of the falling droplet., Comment: 2 pages, video for APSDFD2011