PubMed · 13996860
The source did not provide an abstract. Follow the original record for more information.
Explore connections, maps & timelines
S VERNON. 1963. Shock and the "lethal factor".. https://pubmed.ncbi.nlm.nih.gov/13996860/
Cite the original work for its findings. Save a collection to share your selection of sources.
KEEP EXPLORING
Many of the complications of cirrhosis reflect the presence of portal hypertension, which is commonly expressed as the hepatic venous pressure gradient (HVPG). Baseline and repeat measurements of HVPG have been recommended for the management of patients with cirrhosis in the setting of pharmacologic prophylaxis of variceal bleeding and for gaining information about prognosis. However, published studies have demonstrated problems with the interpretation of the data on HVPG monitoring, making its use controversial. We view the current data as insufficient evidence to support the monitoring of a targeted reduction of HVPG as routine clinical practice. We recommend the performance of new prospective studies to establish the clinical importance of HVPG measurements.
BACKGROUND AND PURPOSE: This paper discusses the application of artificial neural networks (ANN) in predicting biological outcomes following prostate radiotherapy. A number of model-based methods have been developed to correlate the dose distributions calculated for a patient receiving radiotherapy and the radiobiological effect this will produce. Most widely used are the normal tissue complication probability and tumour control probability models. An alternative method for predicting specific examples of tumour control and normal tissue complications is to use an ANN. One of the advantages of this method is that there is no need for a priori information regarding the relationship between the data being correlated. PATIENTS AND METHODS: A set of retrospective clinical data from patients who received radical prostate radiotherapy was used to train ANNs to predict specific biological outcomes by learning the relationship between the treatment plan prescription, dose distribution and the corresponding biological effect. The dose and volume were included as a differential dose-volume histogram in order to provide a holistic description of the available data. RESULTS: It was shown that the ANNs were able to predict biochemical control and specific bladder and rectum complications with sensitivity and specificity of above 55% when the outcomes were dichotomised. It was also possible to analyse information from the ANNs to investigate the effect of individual treatment parameters on the outcome. CONCLUSION: ANNs have been shown to learn something of the complex relationship between treatment parameters and outcome which, if developed further, may prove to be a useful tool in predicting biological outcomes.
Jejunoileal gastrointestinal hemorrhage is uncommon and difficult to diagnose. Ileal lipoma is an unusual cause of jejunoileal bleeding. We report the case of a 45-Year-old patient admitted for acute gastrointestinal bleeding. The patient was taking aspirin at admission. A bleeding intussuscepted ileal lipoma was localized with a contrast enhanced helical computed tomography. This diagnosis was confirmed by laparotomy.