Influence of Expert-Dependent Variability over the Performance of Noninvasive Fibrosis Assessment in Patients with Chronic Hepatitis C by Means of Texture Analysis
Texture analysis is viewed as a method to enhance the diagnosis power of classical B-mode ultrasound image. The present paper aims to evaluate and eliminate the dependence between the human expert and the performance of such a texture analysis system in predicting the cirrhosis in chronic hepatitis...
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Online Access: | http://dx.doi.org/10.1155/2012/346713 |
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doaj-5b7a32aae4e644139422baa39fad2a8f2020-11-24T21:24:24ZengHindawi LimitedComputational and Mathematical Methods in Medicine1748-670X1748-67182012-01-01201210.1155/2012/346713346713Influence of Expert-Dependent Variability over the Performance of Noninvasive Fibrosis Assessment in Patients with Chronic Hepatitis C by Means of Texture AnalysisCristian Vicas0Monica Lupsor1Mihai Socaciu2Sergiu Nedevschi3Radu Badea4Computer Science Department, Faculty of Automation and Computer Science, Technical University of Cluj-Napoca, 28 Gheoghe Baritiu Street, 400027 Cluj-Napoca, RomaniaRegional Institute of Gastroenterology and Hepatology, Iuliu Hatieganu University of Medicine and Pharmacy, 19-21 Croitorilor Street, 400162 Cluj-Napoca, RomaniaRegional Institute of Gastroenterology and Hepatology, Iuliu Hatieganu University of Medicine and Pharmacy, 19-21 Croitorilor Street, 400162 Cluj-Napoca, RomaniaComputer Science Department, Faculty of Automation and Computer Science, Technical University of Cluj-Napoca, 28 Gheoghe Baritiu Street, 400027 Cluj-Napoca, RomaniaRegional Institute of Gastroenterology and Hepatology, Iuliu Hatieganu University of Medicine and Pharmacy, 19-21 Croitorilor Street, 400162 Cluj-Napoca, RomaniaTexture analysis is viewed as a method to enhance the diagnosis power of classical B-mode ultrasound image. The present paper aims to evaluate and eliminate the dependence between the human expert and the performance of such a texture analysis system in predicting the cirrhosis in chronic hepatitis C patients. 125 consecutive chronic hepatitis C patients were included in this study. Ultrasound images were acquired from each patient and four human experts established regions of interest. Textural analysis tool was evaluated. The performance of this approach depends highly on the human expert that establishes the regions of interest (𝑃<0.05). The novel algorithm that automatically establishes regions of interest can be compared with a trained radiologist. In classical form met in the literature, the noninvasive diagnosis through texture analysis has limited utility in clinical practice. The automatic ROI establishment tool is very useful in eliminating the expert-dependent variability.http://dx.doi.org/10.1155/2012/346713 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Cristian Vicas Monica Lupsor Mihai Socaciu Sergiu Nedevschi Radu Badea |
spellingShingle |
Cristian Vicas Monica Lupsor Mihai Socaciu Sergiu Nedevschi Radu Badea Influence of Expert-Dependent Variability over the Performance of Noninvasive Fibrosis Assessment in Patients with Chronic Hepatitis C by Means of Texture Analysis Computational and Mathematical Methods in Medicine |
author_facet |
Cristian Vicas Monica Lupsor Mihai Socaciu Sergiu Nedevschi Radu Badea |
author_sort |
Cristian Vicas |
title |
Influence of Expert-Dependent Variability over the Performance of Noninvasive Fibrosis Assessment in Patients with Chronic Hepatitis C by Means of Texture Analysis |
title_short |
Influence of Expert-Dependent Variability over the Performance of Noninvasive Fibrosis Assessment in Patients with Chronic Hepatitis C by Means of Texture Analysis |
title_full |
Influence of Expert-Dependent Variability over the Performance of Noninvasive Fibrosis Assessment in Patients with Chronic Hepatitis C by Means of Texture Analysis |
title_fullStr |
Influence of Expert-Dependent Variability over the Performance of Noninvasive Fibrosis Assessment in Patients with Chronic Hepatitis C by Means of Texture Analysis |
title_full_unstemmed |
Influence of Expert-Dependent Variability over the Performance of Noninvasive Fibrosis Assessment in Patients with Chronic Hepatitis C by Means of Texture Analysis |
title_sort |
influence of expert-dependent variability over the performance of noninvasive fibrosis assessment in patients with chronic hepatitis c by means of texture analysis |
publisher |
Hindawi Limited |
series |
Computational and Mathematical Methods in Medicine |
issn |
1748-670X 1748-6718 |
publishDate |
2012-01-01 |
description |
Texture analysis is viewed as a method to enhance the diagnosis power of classical B-mode ultrasound image. The present paper aims to evaluate and eliminate the dependence between the human expert and the performance of such a texture analysis system in predicting the cirrhosis in chronic hepatitis C patients. 125 consecutive chronic hepatitis C patients were included in this study. Ultrasound images were acquired from each patient and four human experts established regions of interest. Textural analysis tool was evaluated. The performance of this approach depends highly on the human expert that establishes the regions of interest (𝑃<0.05). The novel algorithm that automatically establishes regions of interest can be compared with a trained radiologist. In classical form met in the literature, the noninvasive diagnosis through texture analysis has limited utility in clinical practice. The automatic ROI establishment tool is very useful in eliminating the expert-dependent variability. |
url |
http://dx.doi.org/10.1155/2012/346713 |
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