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Titlebook: Urological Emergencies; A Practical Guide Hunter Wessells,Jack W. McAninch Book 20051st edition Humana Press 2005 complications.embolism.en

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George W. Jabren MD,Wayne J. G. Hellstrom MD, FACSanaesthetized patient haemorrhage during operation was followed by arterial vasoconstriction and subsequently a dry operating field. This observation was radically different from that of Bayliss (1902) who had noticed that arterial hypotension in animals under general anaesthesia was followed by dilatation of the arteries of the brain.
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Gerald C. Mingin MD,Hiep T. Nguyen MD, FAAP lesions including dermoid and epidermoid cysts, neurenteric cysts, teratomatous cysts and teratomas, lipomas and arachnoid cysts. Although individual types of congenital tumors are relatively rare, as a group they constitute 18–30% of all paediatric spinal tumors.. By comparison this same group comprises only 2–3% of all adult spinal neoplasms..
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Renal Artery Embolism and Renal Vein Thrombosishough both conditions ultimately cause renal ischemia, the etiologies, presentation, treatment strategies, and ultimate prognoses of occlusion of the renal artery and vein are quite different. We review the current literature with an emphasis on the optimal evaluation and treatment of patients with renal artery infarction and RVT.
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Hemorrhagic Cystitis receiving alkylating chemotherapeutic agents. HC can be devastating, with high morbidity and mortality despite aggressive interventions (.). Massive urothelial hemorrhage may involve both upper and lower urinary tracts (.), leading to acute renal failure that requires emergent urological interventions.
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Urological Emergencies978-1-59259-886-1Series ISSN 2197-7194 Series E-ISSN 2197-7208
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ehabilitation during the peri-lingual phase, the student will have lifelong speech issues. This paper‘s goal is to adopt a learning system, comprehend its principles, and demonstrate how it may help the educational industry. Learning systems have made it possible for more developed nations to catch
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n identifying skin cancer regions. CSDM-Deep-CNN is a novel approach for efficient skin disease detection with minimal execution time. CSDM-Deep-CNN leverages deep convolutional neural networks with batch normalization. The objective of this study is to address the complexities in dermatology and th
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