Renal artery stent placement: Complications at a single tertiary care center
ABSTRACT To describe complications after renal artery stent placement in patients with atherosclerotic renal artery stenosis (RAS) at a single tertiary care center and analyze the risk factors for these complications.
Medical records and angiograms of 171 patients who underwent a total of 179 consecutive percutaneous transluminal renal artery stent placement (PTRS) procedures for atherosclerotic RAS were retrospectively reviewed. Data on patient comorbidities, procedure indication, lesion location, serum creatinine level, and procedure-related complications were analyzed. The Wilcoxon rank-sum test was used to assess the association of continuous risk factors with complications, and the chi(2) test was used to assess the association of categoric risk factors with outcomes.
The technical success rate for PTRS was 98%. Major complications included renal infarction in five patients (2.8%), permanently increased serum creatinine level in 10 patients (5.6%) that required hemodialysis in five (2.8%), blood transfusion in four patients (2.2%), surgical intervention for procedure-related complications in two patients (1.1%), and deep vein thrombosis in one patient (0.6%). Overall, major complications occurred in 15 procedures (8.4%). Death within 30 days after PTRS occurred in two patients (1.1%), but neither death was definitively caused by the procedure. No risk factors were found to be significantly (P <.05) associated with major complications. Patients with renal artery site or renal function complications tended to be older (P =.01) and have higher creatinine levels (P =.06).
Renal artery stent placement allows treatment of advanced atheromatous RAS in patients with significant medical and surgical comorbidities. Complications are frequent but few have long-term significance.
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Conference Paper: A binocular computer vision system for aerial image pairs[Show abstract] [Hide abstract]
ABSTRACT: A binocular stereo vision system is described. After preprocessing the aerial image pairs and resampling them along epipolar lines, our system uses an area-based hierarchical matching method to find corresponding points. Utilizing the absolute orientation, the coordinates of the matching points and their parallaxes acquired through stereo matching are converted to the actual position and altitude. The final results of the system are the recovered surface and digital elevation model (DEM)Signal Processing, 1996., 3rd International Conference on; 11/1996