Hepatitis C related chronic liver cirrhosis: feasibility of texture analysis of MR images for classification of fibrosis stage and necroinflammatory activity grade

PloS One
Zhuo WuToshifumi Gabata

Abstract

To assess the feasibility of texture analysis for classifying fibrosis stage and necroinflammatory activity grade in patients with chronic hepatitis C on T2-weighted (T2W), T1-weighted (T1W) and Gd-EOB-DTPA-enhanced hepatocyte-phase (EOB-HP) imaging. From April 2008 to June 2012, MR images from 123 patients with pathologically proven chronic hepatitis C were retrospectively analyzed. Texture parameters derived from histogram, gradient, run-length matrix, co-occurrence matrix, autoregressive model and wavelet transform methods were estimated with imaging software. Fisher, probability of classification error and average correlation, and mutual information coefficients were used to extract subsets of optimized texture features. Linear discriminant analysis in combination with 1-nearest neighbor classifier (LDA/1-NN) was used for lesion classification. In compliance with the software requirement, classification was performed based on datasets from all patients, the patient group with necroinflammatory activity grade 1, and that with fibrosis stage 4, respectively. Based on all patient dataset, LDA/1-NN produced misclassification rates of 28.46%, 35.77% and 20.33% for fibrosis staging and 34.15%, 25.20% and 28.46% for necroinflammat...Continue Reading

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Citations

Jul 6, 2016·Frontiers in Pharmacology·Jun L ChinJohn D Ryan
Mar 1, 2018·Journal of Medical Imaging·Abhishek MidyaAmber L Simpson
Feb 7, 2018·European Radiology·Shotaro NaganawaShigeru Kiryu
Apr 2, 2020·World Journal of Gastroenterology : WJG·Wang-Shu ZhuJun Shen

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Methods Mentioned

BETA
biopsy

Software Mentioned

MaZda

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