Automated segmentation of large thoracic arteries, based sole

\n\nAutomated segmentation of large thoracic arteries, based solely on the 3D-cine phase-contrast MRI (PC-MRI) blood-flow data, was done. An active surface model, which is fast and topologically stable, was used. The active surface model requires an initial surface, approximating the desired segmentation. A method to generate this surface was developed based on a voxel-wise temporal maximum of blood-flow velocities. The active surface model balances forces, based on

the surface structure and image features derived from the blood-flow data. The segmentation results were validated using volunteer studies, including time-resolved Akt cancer 3D and 2D blood-flow data. The segmented surface was intersected with a velocity-encoded PC-MRI slice, resulting in a cross-sectional contour of the lumen. These cross-sections were compared to reference contours that were manually delineated on high-resolution 2D-cine slices.\n\nThe automated approach closely approximates the manual blood-flow segmentations, with error distances on the order of the voxel size. The initial surface provides a close approximation of the desired luminal geometry. This improves the convergence see more time of the active surface and facilitates parametrization.\n\nAn active surface approach for vessel lumen segmentation was developed, suitable for quantitative analysis of 3D-cine

PC-MRI blood-flow data. As opposed to prior thresholding and level-set approaches, the active surface model is topologically stable. A method to generate an initial approximate surface was developed, and various features that influence the segmentation model were evaluated. The active surface segmentation results were shown to closely approximate

manual segmentations.”
“MicroRNAs (miRNAs) are aberrantly expressed in cervical cancer. miR-7 Selleck MEK162 has been demonstrated to function as both an oncogene and a tumor suppressor in some types of human cancers. In the present study, miR-7 was significantly downregulated in cervical cancer, especially metastatic tumors. Ectopic expression of miR-7 significantly inhibited metastasis and invasion in Hela and C33A cells. Upregulated miR-7 significantly suppressed focal adhesion kinase (FAK) at transcriptional and translational levels. Furthermore, the level of FAK was negatively correlated with miR-7 in cervical cancer tissues. In conclusion, miR-7 inhibited the metastasis and invasion of cervical cancer at least partially through targeting FAK. The findings of this study provide novel insight with potential therapeutic applications for the treatment of metastatic cervical cancer.”
“Androgen deprivation therapy has become well-established in the treatment of prostate cancer. Luteinizing-hormone-releasing hormone (LHRH) agonists, anti-androgens, orchiectomy, and combination hormonal therapy are treatment options offered to select patients.

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