Anatomical considerations of selective pudendal neurectomy

The pudendal nerve was examined in 100 cadavers of both sexes. Because of the variable number of trunks of the pudendal nerve, 5 types were distinguished: one-trunked; two-trunked, rectopudendal; two-trunked, pudendo-penile (or-clitoridal); three-trunked, recto-perineo-penile (or-clitoridal); four-trunked, recto-perineo-perineopenile (or-clitoridal). The authors' suggestions make it possible to perform selective pudendectomy, consisting in denervation of the sphincter urethrae muscle by neurectomy of the perineal branches of the pudendal nerve.     

Endoscopic papillosphincterotomy in patients with para-ampullar diverticulosis

It is suggested that the numerous variants of diverticula occurring in the region of the major duodenal papilla should be grouped into four types. Type I--the major duodenal papilla (MDP) is on the floor of the diverticulum; type II--the MDP is in the region of the lower ++semi-circumference of the diverticular orifice while the longitudinal fold runs radially on the wall of the diverticulum; type III--the MDP is in the region of the orifice of the diverticulum while the longitudinal fold does not pass on its wall; type IV--two diverticula located above the MDP to both sides of the longitudinal fold. Endoscopic papillosphincterotomy is considered contraindicated in patients with type I diverticulum. When indicated, the intervention was carried out in patients with types III and IV diverticula. Endoscopic papillosphincterotomy can be conducted in patients with type II diverticulum measuring more than 2 cm.     

Intraportal allogeneic transplantation of the islets of Langerhans cultures in the complex treatment of surgical patients with diabetes mellitus

The article presents results of treatment of 21 patients with a surgical pathology and diabetes mellitus who had intraportal allotransplantation of cultures of islet cells of the pancreas and 316 patients with the similar surgical pathology without such transplantation. It was found that the intraportal introduction of islet cell cultures into the liver can result in an early and considerable drop of the injected insulin dose which is very important in the postoperative period. This method allowed to make the period of treatment at the hospital approximately 15 days shorter.     

Decision trees based on automatic learning and their use in cardiology

Computerized information systems, especially decision support systems, have become an increasingly important role in medical applications, particularly in those where important decision must be made effectively and reliably. But the possibility of using computers in medical decision making is limited by many difficulties, including the complexity of conventional computer languages, methodologies and tools. Thus a conceptual simple decision making model with the possibility of automating learning should be used. In this paper we introduce a cardiological knowledge-based system based on the decision tree approach supporting the mitral valve prolapse determination. Prolapse is defined as the displacement of a bodily part from its normal position. The term mitral valve prolaps (PMV), therefore, implies that the mitral leaflets are displaced relative to some structure, generally taken to be the mitral annulus. The implications of the PMV are the following: disturbed normal laminar blood flow, turbulence of the blood flow, injury of the chordae tendinae, the possibility of thrombus's composition, bacterial endocarditis, and finally hemodynamic changes defined as mitral insufficiency and mitral regurgitation. Uncertainty persists about how it should be diagnosed and about its clinical importance. It is our deep belief that the echocardiography enables properly trained experts armed with proper criteria to evaluate PMV almost 100%. But unfortunately, there are some problems concerned with the use of echocardiography. In that manner we have decided to start a research project aimed at finding new criteria and enabling the general practitioner to evaluate PMV using conventional methods and to select potential patients from the general population. To empower one to perform needed activities we have developed a computer tool called ROSE (computeRised prOlaps Syndrom dEtermination) based on algorithms of automatic learning. This tool supports the definition of new criteria and the selection of potential PMV-patients.