Neural net classification of liver ultrasonogram for quantitative evaluation of diffuse liver disease

1997 ◽  
Author(s):  
Dong Hyuk Lee ◽  
JongHyo Kim ◽  
Hee C. Kim ◽  
Yong W. Lee ◽  
Byong Goo Min
1993 ◽  
Vol 15 (3) ◽  
pp. 205-217 ◽  
Author(s):  
M.S. klein Gebbinck ◽  
J.T.M. Verhoeven ◽  
J.M. Thijssen ◽  
T.E. Schouten

Three different methods were investigated to determine their ability to detect and classify various categories of diffuse liver disease. A statistical method, i.e., discriminant analysis, a supervised neural network called backpropagation and a nonsupervised, self-organizing feature map were examined. The investigation was performed on the basis of a previously selected set of acoustic and image texture parameters. The limited number of patients was successfully extended by generating additional but independent data with identical statistical properties. The generated data were used for training and test sets. The final test was made with the original patient data as a validation set. It is concluded that neural networks are an attractive alternative to traditional statistical techniques when dealing with medical detection and classification tasks. Moreover, the use of generated data for training the networks and the discriminant classifier has been shown to be justified and profitable.


1989 ◽  
Vol 24 (3) ◽  
pp. 196-203 ◽  
Author(s):  
BRIAN S. GARRA ◽  
MICHAEL F. INSANA ◽  
THOMAS H. SHAWKER ◽  
ROBERT F. WAGNER ◽  
MARY BRADFORD ◽  
...  

Radiology ◽  
1985 ◽  
Vol 155 (2) ◽  
pp. 457-462 ◽  
Author(s):  
D L King ◽  
F L Lizzi ◽  
E J Feleppa ◽  
P M Wai ◽  
M M Yaremko ◽  
...  

1987 ◽  
Vol 28 (3) ◽  
pp. 281-284 ◽  
Author(s):  
Lillemor Forsberg ◽  
C. H. Florén ◽  
E. Hederström ◽  
H. Prytz

2017 ◽  
Vol 103 (2) ◽  
pp. 186-191 ◽  
Author(s):  
Tassos Grammatikopoulos ◽  
Patrick James McKiernan ◽  
Anil Dhawan

Portal hypertension (PHT), defined as raised intravascular pressure in the portal system, is a complication of chronic liver disease or liver vascular occlusion. Advances in our ability to diagnose and monitor the condition but also predict the risk of gastrointestinal bleeding have enabled us to optimise the management of children with PHT either at a surveillance or at a postbleeding stage. A consensus among paediatric centres in the classification of varices can be beneficial in streamlining future paediatric studies. New invasive (endoscopic and surgical procedures) and non-invasive (pharmacotherapy) techniques are currently used enabling clinicians to reduce mortality and morbidity in children with PHT.


2017 ◽  
Vol 8 (1) ◽  
Author(s):  
Alexey Borsukov ◽  
Tatiana Morozova ◽  
Alexey Kovalev

The purpose of the research was to estimate the clinical-diagnostic and predictive value of non-invasive ultrasonic elastography in dynamic monitoring in patients with diffuse liver disease. A number of 114 patients with diffuse liver disease were examined, specifically 68 (59.6%) men and 46 (40.4%) women. The patients were divided into three groups: 40 patients with steatosis; 38 with hepatitis; 36 with cirrhosis. The research included clinical and bio-chemical analysis, ultrasound examination of liver and spleen with doppler v. portae and v. lienalis, elastography of liver and spleen. The study found a high correlation of elastography data as regards the liver and spleen in patients with alcoholic cirrhosis (r=0.96), average correlation (r=0.69) in patients with steatosis and hepatitis of alcoholic etiology. On the basis of the statistical program receiver operating characteristic (ROC)-analysis it was ascertained that the spleen is in perfect condition (AUC 0.9-1.0), and the liver is in a very good condition (0.8-0.9). The research revealed therapeutically significant factor ΔF/ΔL for dynamic monitoring: the ΔF/ΔL 1 can predict a more favorable course of the disease. Noninvasive ultrasound elastography helps to forecast the process of the disease and correct the therapeutic approach. The research contributes to the search for additional and reliable techniques of identifying the stage of disease of patients with hepatic fibrosis, the dynamics of the disease as well as forecasting further complications.


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