Multifocal small bowel stromal tumours presenting with peritonitis in an HIV positive patient

AbstractINTRODUCTIONThe most common mesenchymal tumour of the gastrointestinal tract is stromal tumours (GISTs). Symptomatic GISTs can present with complications such as haemorrhage, obstruction and perforation. Complete surgical resection with negative margins is the mainstay of treatment but may be imprudent on emergent occasion. Tyrosine-kinase inhibitors (TKIs) have been revolutionary in the treatment of GISTs and have resulted in improved outcomes.PRESENTATION OF CASEA 41 year old HIV positive male presented with an acute history of abdominal pain and obstructive symptoms. Clinical examination revealed sepsis and peritonitis. One of the several small bowel tumours discovered at exploratory laparotomy was necrotic and perforated. The perforated tumour alone was resected and a small bowel internal hernia reduced. The patient made an uneventful recovery and will be considered for TKI therapy with a view to later re-operation.DISCUSSIONGISTs very rarely perforate. The pathophysiology of stromal tumour necrosis is poorly understood. Multifocality and small bowel location are poor prognosticators and may occur in the setting of familial GISTs, specific syndromes and sporadic cases. There is no established association between HIV and GISTs.CONCLUSIONPerforation occurs infrequently in ≤8% of symptomatic cases and poses increased risk of local recurrence. The surgical management of perforation takes precedence in an emergency. The surgeon must however take cognisance of the adherence to ideal oncologic principles where feasible. TKI therapy is invaluable if a re-exploration is to be later considered

A Comprehensive Review of Distributed Coding Algorithms for Visual Sensor Network (VSN)

Since the invention of low cost camera, it has been widely incorporated into the sensor node in Wireless Sensor Network (WSN) to form the Visual Sensor Network (VSN). However, the use of camera is bringing with it a set of new challenges, because all the sensor nodes are powered by batteries. Hence, energy consumption is one of the most critical issues that have to be taken into consideration. In addition to this, the use of batteries has also limited the resources (memory, processor) that can be incorporated into the sensor node. The life time of a VSN decreases quickly as the image is transferred to the destination. One of the solutions to the aforementioned problem is to reduce the data to be transferred in the network by using image compression. In this paper, a comprehensive survey and analysis of distributed coding algorithms that can be used to encode images in VSN is provided. This also includes an overview of these algorithms, together with their advantages and deficiencies when implemented in VSN. These algorithms are then compared at the end to determine the algorithm that is more suitable for VSN