25-hydroxyvitamin d and advanced glycation endproducts in healthy and hypertensive subjects: are there interactions?

Advanced glycation endproducts (AGEs) accumulate during aging. Skin is the single organ of vitamin D synthesis, induced by ultraviolet B light. Accumulation of AGEs in the skin could interfere with synthesis of the vitamin, whereas the microinflammation and oxidative stress (associated with hypovitaminosis D) could amplify both the toxic effects of AGEs and their production. Clinical data on potential interactions between vitamin D3 deficiency and AGE accumulation are sparse. Here we investigated potential associations between levels of circulating vitamin D3 and those of AGEs in blood and skin with regard to markers of inflammation and oxidative stress in nondiabetic subjects. In a cross-sectional study, 146 subjects (119 healthy persons and 27 hypertensive patients; 73 male and 73 female; mean age, 57.0 ± 15.5 years) were included. Skin autofluorescence (SAF) and plasma levels of vitamin D3, AGE-associated fluorescence, high-sensitivity C-reactive protein level, and advanced oxidation protein products as well as renal function (estimated glomerular filtration rate) were determined. In a subgroup of 61 patients, N(ε)-carboxymethyllysine, soluble receptor of AGEs, and soluble vascular adhesion protein-1 were additionally analyzed. Vitamin D3 level averaged 22.5 ± 8.9 ng/mL. Prevalence of vitamin D insufficiency (20-29 ng/mL) was 43%, and that of deficiency (<20 ng/mL) 37%. The age-dependent rise in SAF was steeper in smokers and in subjects presenting arterial hypertension. No association between SAF and hypovitaminosis D was revealed. Among smokers, an inverse relationship manifested between vitamin D3 and plasma AGE-associated fluorescence as well as soluble vascular adhesion protein-1. Our data suggest that in nondiabetic adults, hypovitaminosis D does not enhance toxicity and accumulation of AGEs. Only in smokers interactions are conceivable.

Time-of-Flight 3-D endoscopy.

This paper describes the first accomplishment of the Time-of-Flight (ToF) measurement principle via endoscope optics. The applicability of the approach is verified by in-vitro experiments. Off-the-shelf ToF camera sensors enable the per-pixel, on-chip, real-time, marker-less acquisition of distance information. The transfer of the emerging ToF measurement technique to endoscope optics is the basis for a new generation of ToF rigid or flexible 3-D endoscopes. No modification of the endoscope optic itself is necessary as only an enhancement of illumination unit and image sensors is necessary. The major contribution of this paper is threefold: First, the accomplishment of the ToF measurement principle via endoscope optics; second, the development and validation of a complete calibration and post-processing routine; third, accomplishment of extensive in-vitro experiments. Currently, a depth measurement precision of 0.89 mm at 20 fps with 3072 3-D points is achieved.

Inverse C-arm positioning for interventional procedures using real-time body part detection.

The automation and speedup of interventional therapy and diagnostic workflows is a crucial issue. One way to improve these work-flows is to accelerate the image acquisition procedures by fully automating the patient setup. This paper describes a system that performs this task without the use of markers or other prior assumptions. It returns metric coordinates of the 3-D body shape in real-time for inverse positioning. This is achieved by the application of an emerging technology, called Time-of-Flight (ToF) sensor. A ToF sensor is a cost-efficient, off-the-shelf camera which provides more than 40,000 3-D points in real-time. The first contribution of this paper is the incorporation of this novel imaging technology (ToF) in interventional imaging. The second contribution is the ability of a C-arm system to position itself with respect to the patient prior to the acquisition. We are using the 3-D surface information of the patient to partition the body into anatomical sections. This is achieved by a fast two-stage classification process. The system computes the ISO-center for each detected region. To verify our system we performed several tests on the ISO-center of the head. Firstly, the reproducibility of the head ISO-center computation was evaluated. We achieved an accuracy of (x: 1.73 +/- 1.11 mm/y: 1.87 +/- 1.31 mm/z: 2.91 +/- 2.62 mm). Secondly, a C-arm head scan of a body phantom was setup. Our system automatically aligned the ISO-center of the head with the C-arm ISO-center. Here we achieved an accuracy of +/- 1 cm, which is within the accuracy of the patient table control.