Kiilerichhughes7211

Singular value decomposition (SVD)-based clutter filters can robustly reject the tissue clutter as compared with the conventional high pass filter-based clutter filters. However, the computational burden of SVD makes real time SVD-based clutter filtering challenging (e.g. frame rate at least 10-15 Hz with region of interest of about 4 × 4 cm2). Recently, we proposed an acceleration method based on randomized SVD (rSVD) clutter filtering and randomized spatial downsampling, which can significantly reduce the computational complexity without compromising the clutter rejection capability. However, this method has not been implemented on an ultrasound scanner and tested for its performance. In this study, we implement this acceleration method on a Verasonics scanner using a multi-core CPU architecture, and evaluate the selections of the imaging and processing parameters to enable real time micro-vessel imaging. The Blood-to-Clutter Ratio (BCR) performance was evaluated on a Verasonics machine with different settings of parameters such as block size and ensemble size. The demonstration of real time process was implemented on a 12-core CPU (downsampling factor of 12, 12-threads in this study) host computer. The processing time of the rSVD-based clutter filter was less than 30 ms and BCRs were higher than 20 dB as the block size, ensemble size and the rank of tissue clutter subspace were set as 30 × 30, 45 and 26 respectively. We also demonstrate that the micro-vessel imaging frame rate of the proposed architecture can reach approximately 22 Hz when the block size, ensemble size and the rank of tissue clutter subspace were set as 20 × 20 pixels, 45 and 26 respectively (using both images and supplementary videos). The proposed method may be important for real time 2D scanning of tumor microvessels in 3D to select and store the most representative 2D view with most abnormal micro-vessels for better diagnosis. PURPOSE The goal of the current analyses was to describe pathways through which Psychological Wellbeing might be better understood for clinical participants with bladder cancer and their partners. This was achieved by applying Roy's Adaptation Model that provides a framework with which to understand responses to challenging circumstances that has proved useful in the study of a range of chronic conditions. METHODS The sample comprised 119 patients with a diagnosis of bladder cancer, and 103 supportive partners. Participants completed a self-report questionnaire comprising the Bladder Cancer Index, Mini-Mental Adjustment to Cancer Scale, Psychosocial Adjustment to Illness Scale, and sociodemographic details. For each sample, structural equation modelling was used to determine goodness of fit, guided by Roy's Adaptation Model. RESULTS For patients, increasing age and disease duration, the negative appraisal of health care, perceived poor functioning and elevated burden of disease provided pathways to Psychological Wellbeing. For partners, increasing age, being male, a negative health care experience, and perceived burden of disease were significant. However, for both groups a positive evaluation of family and social support was the key indicator of lower Psychological Wellbeing. CONCLUSIONS The models presented describe a suite of issues that could inform a nursing model of care to enhance the experience of living with bladder cancer for both patients and their supportive partners. BACKGROUND AND AIM Family caregivers are often involved in helping recipients during allogeneic hematopoietic stem cell transplantation (allo-HSCT). Although the distress that often arises along the trajectory is evident to family caregivers, research on their perceptions of providing and receiving support is limited. The aim of this study was to explore family caregivers' experiences of providing and receiving support during allo-HSCT. METHOD Data were collected through semi-structured interviews with fourteen family caregivers 16 weeks after the recipient's allo-HSCT. Inductive qualitative content analysis was used to analyse the data. RESULTS The analysis revealed four generic categories that focus on prerequisites for family caregivers' ability to provide support Individual characteristics influence the ability to be supportive, Social context influences the ability to be supportive, Medical information provides knowledge and a sense of participation and Interaction with the healthcare organization provides a sense of participation. These prerequisites are linked in the fifth generic category Family caregivers' support is multifaceted and dependent on the recipient's health. CONCLUSIONS Family caregivers' risk of experiencing a stronger sense of uncertainty and lack of participation is higher in the absence of the above-mentioned prerequisites. Professional support is thus required, which implies that the healthcare organization is responsible for identifying the needs of each family caregiver and delivering individualized support. Ovarian cancer (OC) is a severe malignancy featuring a poor prognosis due to rapid metastasis and chemotherapy resistance. In this study, we extensively investigated the upstream and downstream mechanisms of miR-548e in regulating OC progression and cisplatin resistance. Our results indicated that ZFAS1 was highly expressed and promoted OC cell proliferation, migration, invasion, and cisplatin resistance by directly suppressing miR-548e expression. ZFAS1 co-localized with miR-548e in the cytosols of OC cells. selleck chemicals miR-548e repressed CXCR4 expression, and elevated CXCR4 expression promoted OC cell proliferation, migration, invasion, and cisplatin resistance. Cisplatin resistance induced by ZFAS1 and CXCR4 overexpression in OC cells was mediated by their suppression on let-7a and elevation of BCL-XL/S expression. ZFAS1 knockdown and miR-548e and let-7a overexpression impaired cisplatin resistance and suppressed lung metastatic nodule formation in nude mice. In conclusion, ZFAS1 binds with miR-548e to enhance CXCR4 expression to promote OC cell proliferation and metastasis, which also enhances cisplatin resistance by suppressing let-7a and elevating BCL-XL/S protein expression.