Next Article in Journal
Dynamic Maximum Entropy Reduction
Next Article in Special Issue
A Secure and Fast Image Encryption Scheme based on Double Chaotic S-Boxes
Previous Article in Journal
Surrogate Data Preserving All the Properties of Ordinal Patterns up to a Certain Length
Previous Article in Special Issue
Detection of Salient Crowd Motion Based on Repulsive Force Network and Direction Entropy
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle

Efficacy of Quantitative Muscle Ultrasound Using Texture-Feature Parametric Imaging in Detecting Pompe Disease in Children

1
Division of Ultrasound and Breast Imaging, Department of Radiology, Taipei Veterans General Hospital, Taipei 11217, Taiwan
2
School of Medicine, National Yang Ming University, Taipei 11221, Taiwan
3
National Defense Medical Center, Taipei 11490, Taiwan
4
Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu 30013, Taiwan
5
Department of Radiology, Taipei Veterans General Hospital, Taipei 11217, Taiwan
6
Department of Biomedical Engineering, Hungkuang University, Taichung 43302, Taiwan
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(7), 714; https://doi.org/10.3390/e21070714
Received: 18 June 2019 / Revised: 18 July 2019 / Accepted: 21 July 2019 / Published: 22 July 2019
(This article belongs to the Special Issue Entropy in Image Analysis II)
  |  
PDF [3151 KB, uploaded 22 July 2019]
  |  

Abstract

Pompe disease is a hereditary neuromuscular disorder attributed to acid α-glucosidase deficiency, and accurately identifying this disease is essential. Our aim was to discriminate normal muscles from neuropathic muscles in children affected by Pompe disease using a texture-feature parametric imaging method that simultaneously considers microstructure and macrostructure. The study included 22 children aged 0.02–54 months with Pompe disease and six healthy children aged 2–12 months with normal muscles. For each subject, transverse ultrasound images of the bilateral rectus femoris and sartorius muscles were obtained. Gray-level co-occurrence matrix-based Haralick’s features were used for constructing parametric images and identifying neuropathic muscles: autocorrelation (AUT), contrast, energy (ENE), entropy (ENT), maximum probability (MAXP), variance (VAR), and cluster prominence (CPR). Stepwise regression was used in feature selection. The Fisher linear discriminant analysis was used for combination of the selected features to distinguish between normal and pathological muscles. The VAR and CPR were the optimal feature set for classifying normal and pathological rectus femoris muscles, whereas the ENE, VAR, and CPR were the optimal feature set for distinguishing between normal and pathological sartorius muscles. The two feature sets were combined to discriminate between children with and without neuropathic muscles affected by Pompe disease, achieving an accuracy of 94.6%, a specificity of 100%, a sensitivity of 93.2%, and an area under the receiver operating characteristic curve of 0.98 ± 0.02. The CPR for the rectus femoris muscles and the AUT, ENT, MAXP, and VAR for the sartorius muscles exhibited statistically significant differences in distinguishing between the infantile-onset Pompe disease and late-onset Pompe disease groups (p < 0.05). Texture-feature parametric imaging can be used to quantify and map tissue structures in skeletal muscles and distinguish between pathological and normal muscles in children or newborns. View Full-Text
Keywords: Pompe disease; children; quantitative muscle ultrasound; texture-feature parametric imaging Pompe disease; children; quantitative muscle ultrasound; texture-feature parametric imaging
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Chiou, H.-J.; Yeh, C.-K.; Hwang, H.-E.; Liao, Y.-Y. Efficacy of Quantitative Muscle Ultrasound Using Texture-Feature Parametric Imaging in Detecting Pompe Disease in Children. Entropy 2019, 21, 714.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top