Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0149521 (chronic pancreatitis)
 7,199 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Between the years of 1970 and 1984, a total of 96 patients underwent biliary enteric bypass to alleviate distal common bile duct obstruction from benign and all malignant disease. Cholecystoenterostomy (CCE) was performed in 13 patients (chronic pancreatitis 7, carcinoma 6), choledochoduodenostomy (CDD) was performed in 35 patients (stones 9, chronic pancreatitis 17, carcinoma 8, and fistula 1), cholecystojejunostomy (CDJ) was performed on 48 patients (stones 1, pancreatitis 21, carcinoma 25 and stricture 1). Operative mortality was 7 per cent and morbidity occurred in 12 per cent of the patients. Symptomatic improvement was measured by relief of pain and sepsis and decrease of bilirubin and alkaline phosphatase to normal. Overall improvement was seen in 73 per cent of patients (CCE 50%, CDD 8%, CDJ 65%), 27 per cent of the patients did not improve (CCE 50%, CDD 12%, CDJ 35%), 83 per cent of the poor results were in patients with advanced malignancy. Thirty-one per cent of patients undergoing CCE required conversion to CDD or CDJ. Cholecystoduodenostomy was associated with failure in 50 per cent of patients. CCD and CDJ are safe and reliable means of relieving distal common duct obstruction due to biliary or pancreatic disease. Cholecystojejunostomy may be performed in the terminal patient with advanced carcinoma requiring a short-term biliary bypass.
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PMID:Biliary enteric bypass for benign and malignant disease. 360 59

The aim of the study was to test applycability of neural networks to classification of pancreatic intraductal proliferative lesions basing on nuclear features, especially chromatin texture. Material for the study was obtained from patients operated on for pancreatic cancer, chronic pancreatitis and other tumours requiring pancreatic resection. Intraductal lesions were classified as low and high grade as previously described. The image analysis system consisted of a microscope, CCD camera combined with a PC and AnalySIS v. 2.11 software. The following texture characteristics were measured: variance of grey levels, features extracted from the grey levels correlation matrix and mean values, variance and standard deviation of the energy obtained from Laws matrices. Furthermore we used moments derived invariants and basic geometric data such as surface area, the minimum and maximum diameter and shape factor. The sets of data were randomly divided into training and testing groups. The training of the network using the back-propagation algorithm, and the final classification of data was carried out with a neural network simulator SNNS v. 4.1. We studied the efficacy of networks containing from one to three hidden layers. Using the best network, containing three hidden layers, the rate of correct classification of nuclei was 73%, and the rate of misdiagnosis was 3%; in 24% the network response was ambiguous. The present findings may serve as a starting point in search for methods facilitating early diagnosis of ductal pancreatic carcinoma.
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PMID:Application of neural networks to the classification of pancreatic intraductal proliferative lesions. 1208 93