scholarly journals Society for Surgery of the Alimentary Tract

1966 ◽  
Vol 50 (1) ◽  
pp. 159-165
Author(s):  
Robert Turell
Keyword(s):  
2011 ◽  
Vol 93 (6) ◽  
pp. e91-e93 ◽  
Author(s):  
Tse-Hua Lo ◽  
Mu-Shiun Tsai ◽  
Tzu-An Chen

Primary angiosarcomas arising from the alimentary tract are rare and only a few cases have been reported in the literature. We report a case of an angiosarcoma of the sigmoid colon with intraperitoneal bleeding but not rectal bleeding. A 21-year-old female patient received a laparotomy and a mass lesion over the sigmoid colon was found with active bleeding. A sigmoid colectomy was performed as a curative resection. Grossly, the sigmoid colon contained a kidney shaped, hemorrhagic tumour from the submucosal layer extension to the antimesenteric side. Intraluminally, the mucosa of the colon was intact. Microscopic examination revealed a high grade angiosarcoma composed of fascicles of spindle cells and solid sheets of epithelioid cells. Immunohistochemical stains revealed a positive result for CD31 and the endothelial nature of the malignancy was confirmed. Smooth muscle antigens, desmins, cytokeratins AE1/AE3 and CD117 were all negative. The patient is still alive without evidence of recurrence or metastasis at a three-year follow-up appointment. Owing to the availability of immunohistochemical studies, some atypical sarcomas would now be correctly classified as angiosarcomas. Since no optimal adjuvant treatment is effective, curative surgical excision is still the best choice of treatment.


1955 ◽  
Vol 69 (1) ◽  
pp. 321-324
Author(s):  
J. F. D. Shrewsbury ◽  
G. J. Barson
Keyword(s):  

2021 ◽  
Author(s):  
Dulmini J. Liyanage ◽  
Prithiviraj Fernando ◽  
P. Nihal Dayawansa ◽  
H. K. Janaka ◽  
Jennifer Pastorini

AbstractWe studied garbage consumption by Asian elephants at the Uddakandara garbage dump in southern Sri Lanka. Garbage at the dump was classified under six categories and quantified using a grid overlay. Elephants visiting the dump were individually identified by morphological criteria and items and quantities consumed by them were determined by focal animal sampling. Dung of elephants that did not consume garbage and those from the dump were compared quantitatively and dung constituents assessed by washing through three layered sieves. A total of 17 individual elephants visited the garbage dump during the study period, all of who were males. The observed sexual bias could be related to behavioural differences between the sexes. Elephants mostly consumed ‘fruits and vegetables’ and ‘prepared food’, possibly due to their higher palatability and nutritional value. Ingestion of polythene was incidental and associated with consuming prepared food. Proportions of the six categories in elephant diet and garbage piles were significantly different, indicating that elephants were highly selective when feeding. Elephant arrivals increased in response to unloading of garbage, suggesting attraction to fresh garbage. Dung analysis found that garbage consumption did not change the quantity and constituents of dung, except for the presence of anthropogenic items. As consumed anthropogenic items were regularly excreted, retention and obstruction of the alimentary tract are unlikely in elephants. Elephants feeding on garbage had better body condition than non-garbage consuming elephants, indicating that garbage provided better nutrition than natural food and was not detrimental to their health.


2020 ◽  
Vol 15 (1) ◽  
pp. 588-596 ◽  
Author(s):  
Jie Meng ◽  
Linyan Xue ◽  
Ying Chang ◽  
Jianguang Zhang ◽  
Shilong Chang ◽  
...  

AbstractColorectal cancer (CRC) is one of the main alimentary tract system malignancies affecting people worldwide. Adenomatous polyps are precursors of CRC, and therefore, preventing the development of these lesions may also prevent subsequent malignancy. However, the adenoma detection rate (ADR), a measure of the ability of a colonoscopist to identify and remove precancerous colorectal polyps, varies significantly among endoscopists. Here, we attempt to use a convolutional neural network (CNN) to generate a unique computer-aided diagnosis (CAD) system by exploring in detail the multiple-scale performance of deep neural networks. We applied this system to 3,375 hand-labeled images from the screening colonoscopies of 1,197 patients; of whom, 3,045 were assigned to the training dataset and 330 to the testing dataset. The images were diagnosed simply as either an adenomatous or non-adenomatous polyp. When applied to the testing dataset, our CNN-CAD system achieved a mean average precision of 89.5%. We conclude that the proposed framework could increase the ADR and decrease the incidence of interval CRCs, although further validation through large multicenter trials is required.


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