Whole‐Liver Apparent Diffusion Coefficient Histogram Analysis for the Diagnosis and Staging of Liver Fibrosis

Background Conventional diffusion‐weighted imaging is limited in the quantitative evaluation of liver fibrosis, and whole‐liver apparent diffusion coefficient (ADC) histogram analysis might contribute to the diagnosis and staging of liver fibrosis. Purpose To explore the value of whole‐liver ADC his...

Full description

Saved in:
Bibliographic Details
Published in:Journal of magnetic resonance imaging 2020-06, Vol.51 (6), p.1745-1754
Main Authors: Zheng, You, Xu, Yong‐Sheng, Liu, Zhao, Liu, Hai‐Feng, Zhai, Ya‐Nan, Mao, Xiao‐Rong, Lei, Jun‐Qiang
Format: Article
Language:English
Subjects:
apparent diffusion coefficient
Bile
Confidence intervals
Diagnosis
Diffusion
Diffusion coefficient
Diffusion Magnetic Resonance Imaging
Entropy
Fibrosis
Field strength
Hepatitis
histogram
Histograms
Humans
Image Interpretation, Computer-Assisted
Image processing
Kurtosis
Likelihood ratio
Liver
Liver Cirrhosis - diagnostic imaging
Liver diseases
liver fibrosis
Magnetic resonance imaging
Medical imaging
Parameters
Population studies
Retrospective Studies
ROC Curve
Sensitivity and Specificity
Skewness
Statistical analysis
Statistical tests
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Background Conventional diffusion‐weighted imaging is limited in the quantitative evaluation of liver fibrosis, and whole‐liver apparent diffusion coefficient (ADC) histogram analysis might contribute to the diagnosis and staging of liver fibrosis. Purpose To explore the value of whole‐liver ADC histogram parameters in the diagnosis and staging of liver fibrosis. Study Type Retrospective. Population Twenty individuals with no liver disease and 86 patients with liver fibrosis, including 30 with chronic viral hepatitis, 29 with autoimmune hepatitis, and 27 with unexplained liver fibrosis patients. Field Strength/Sequence 3.0T/T1‐weighted, T2‐weighted, and diffusion‐weighted images. Assessment A region of interest (ROI) was drawn in each slice of the diffusion‐weighted images. Whole‐liver histogram parameters were obtained with dedicated software by accumulating all ROIs. The effectiveness of the parameters in differentiating stage 1 or greater (≥F1), stage 2 or greater (≥F2), and stage 3 or greater (≥F3) liver fibrosis was assessed. Statistical Tests Mann–Whitney U‐test and receiver operating characteristic curve analysis. Results Kurtosis, entropy, skewness, mode, and 90th and 75th percentiles exhibited significant differences among the pathological fibrosis stages (P 
ISSN:1053-1807
1522-2586
DOI:10.1002/jmri.26987