N-Butyl Cyanoacrylate Glue Versus Nonspherical Polyvinyl Alcohol Particles For Prostatic Arterial Embolization To Treat Benign Prostatic Hyperplasia: Safety and Efficacy.

PURPOSE: Our aim is to compare N-butyl cyanoacrylate (NBCA) glue and non-spherical polyvinyl alcohol (PVA) particles for prostatic artery embolization (PAE) for patients with benign prostatic hyperplasia (BPH) to treat lower urinary tract symptoms (LUTS) and report their feasibility, safety, and short-term effectiveness. MATERIALS AND METHODS: 110 patients (mean age: 72.6 years) with BPH related to LUTS were divided into two groups, PAE was performed in one group with 250 - 355 µm non-spherical PVA particles. Whereas, the other group received a mixture of NBCA glue/ lipiodol for PAE. RESULTS: PAE was technically successful in all 110 patients (100 %). During 6 months follow up, we found that in patients who received NBCA glue, the mean of prostatic volume (PV) was significantly reduced compared to baseline (67.1 ± 8.5 to 40.2 ± 5.4), International Prostate Symptom Score (IPSS) (25.7 ± 4.3 to 7.2 ± 1.09), Quality of life (QoL) (4.43 ± 0.27 to 1.58 ± 2.27); whereas, the mean of Peak urinary flow (Qmax) increased significantly from baseline to 6 months (8.6 ± 2.3 to 15.4 ± 2.3), International Index of Erectile Function (IIEFS) (9.46 ± 1.51 to 19.3 ± 1.33). Meanwhile, non-spherical PVA particles used in the other group show that PV significantly reduced from baseline to 6 months (68.2 ± 8.32 to 38.8 ± 6.13), IPSS (25.0 ± 3.59 to7.24 ± 0.83), QoL (4.43 ± 0.24 to1.56 ± 0.55). The mean for Qmax increased from baseline to 6 months (7.19 ± 1.67 to15.1 ± 2.42), IIEFS (9.22 ± 1.30 to 19.5 ± 0.96). CONCLUSION: PAE with NBCA glue and non-spherical PVA particles is feasible, safe, and effective for patients with BPH related-LUTS. This gives the physicians options to choose between embolizing agents based on the architecture of the prostatic artery.

Underwater Photogrammetry and Object Modeling: A Case Study of Xlendi Wreck in Malta.

In this paper we present a photogrammetry-based approach for deep-sea underwater surveys conducted from a submarine and guided by knowledge-representation combined with a logical approach (ontology). Two major issues are discussed in this paper. The first concerns deep-sea surveys using photogrammetry from a submarine. Here the goal was to obtain a set of images that completely covered the selected site. Subsequently and based on these images, a low-resolution 3D model is obtained in real-time, followed by a very high-resolution model produced back in the laboratory. The second issue involves the extraction of known artefacts present on the site. This aspect of the research is based on an a priori representation of the knowledge involved using systematic reasoning. Two parallel processes were developed to represent the photogrammetric process used for surveying as well as for identifying archaeological artefacts visible on the sea floor. Mapping involved the use of the CIDOC-CRM system (International Committee for Documentation (CIDOC)-Conceptual Reference Model)-This is a system that has been previously utilised to in the heritage sector and is largely available to the established scientific community. The proposed theoretical representation is based on procedural attachment; moreover, a strong link is maintained between the ontological description of the modelled concepts and the Java programming language which permitted 3D structure estimation and modelling based on a set of oriented images. A very recently discovered shipwreck acted as a testing ground for this project; the Xelendi Phoenician shipwreck, found off the Maltese coast, is probably the oldest known shipwreck in the western Mediterranean. The approach presented in this paper was developed in the scope of the GROPLAN project (Généralisation du Relevé, avec Ontologies et Photogrammétrie, pour l'Archéologie Navale et Sous-marine). Financed by the French National Research Agency (ANR) for four years, this project associates two French research laboratories, an industrial partner, the University of Malta, and Texas A & M University.

High speed stereovision setup for position and motion estimation of fertilizer particles leaving a centrifugal spreader.

A 3D imaging technique using a high speed binocular stereovision system was developed in combination with corresponding image processing algorithms for accurate determination of the parameters of particles leaving the spinning disks of centrifugal fertilizer spreaders. Validation of the stereo-matching algorithm using a virtual 3D stereovision simulator indicated an error of less than 2 pixels for 90% of the particles. The setup was validated using the cylindrical spread pattern of an experimental spreader. A 2D correlation coefficient of 90% and a Relative Error of 27% was found between the experimental results and the (simulated) spread pattern obtained with the developed setup. In combination with a ballistic flight model, the developed image acquisition and processing algorithms can enable fast determination and evaluation of the spread pattern which can be used as a tool for spreader design and precise machine calibration.