Modulation of leucocytic angiotensin-converting enzymes expression in patients maintained on high-permeable haemodialysis.

Background: High mortality of haemodialysis patients is associated with systemic chronic inflammation and overactivation of the renin-angiotensin system (RAS). Insufficient elimination of pro-inflammatory immune mediators, especially in the molecular weight range of 15-45 kDa, may be one of the reasons for this. Employment of haemodialysis membranes with increased permeability was shown to ameliorate the inflammatory response and might modulate the effects of local RAS.

Medium Cut-Off (MCO) Membranes Reduce Inflammation in Chronic Dialysis Patients-A Randomized Controlled Clinical Trial.

Background: To increase the removal of middle-sized uremic toxins a new membrane with enhanced permeability and selectivity, called Medium Cut-Off membrane (MCO-Ci) has been developed that at the same time ensures the retention of albumin. Because many middle-sized substances may contribute to micro-inflammation we hypothesized that the use of MCO-Ci influences the inflammatory state in hemodialysis patients.

Methods: The randomized crossover trial in 48 patients compared MCO-Ci dialysis to High-flux dialysis of 4 weeks duration each plus 8 weeks extension phase.

Impact of serum and dialysates obtained from chronic hemodialysis patients maintained on high cut-off membranes on inflammation profile in human THP-1 monocytes.

Introduction: Patients with chronic kidney disease maintained on intermittent hemodialysis suffer from systemic chronic inflammation which is causally associated with high mortality. Inflammation mediators of 15-45 kDa range cannot be effectively removed by conventional dialysis membranes. In this study, we tested the influence of serum and dialysates obtained from patients maintained on High cut-off or High flux membranes on the inflammation profile of THP-1 monocytes.

Breast image registration and deformation modeling.

Image-based examination of the breast facilitates the detection of breast diseases, particularly of present benign and malignant lesions. For computer-aided processing of serial and multimodal clinical data, both for visual correlation and quantitative analysis, automated image-registration methods are an indispensable tool. The wide range of modalities and the high variability of breast appearance have led to a large diversity of proposed approaches for tissue deformation modeling and image registration.

A robust and extendible framework for medical image registration focused on rapid clinical application deployment.

Development and integration of image registration methods become increasingly important for clinical workstations. Due to the complexity of such methods, prototyping, evaluation and workflow integration require in-depth knowledge foremostly available to registration developers. Rapid development and deployment is therefore often difficult, particularly for comprehensive software frameworks.