Texture analysis using T1-weighted images for muscles in Charcot-Marie-Tooth disease patients and volunteers
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MUSCULOSKELETAL
Texture analysis using T1-weighted images for muscles in Charcot-Marie-Tooth disease patients and volunteers Ji Hyun Lee 1 & Young Cheol Yoon 1
&
Hyun Su Kim 1 & Jae-Hun Kim 1 & Byung-Ok Choi 2
Received: 6 July 2020 / Revised: 8 September 2020 / Accepted: 15 October 2020 # European Society of Radiology 2020
Abstract Objectives To explore whether texture features using T1-weighted images correlate with fat fraction, and whether they differ between Charcot-Marie-Tooth (CMT) disease patients and volunteers. Methods The institutional review board approved this retrospective study, and the requirement for informed consent was waived; data of eighteen CMT patients and eighteen healthy volunteers from a previous study was used. Texture features of the muscles including mean, standard deviation (SD), skewness, kurtosis, and entropy of the signal intensity were derived from T1-weighted images. Spearman’s correlation analysis was used to assess the relationship between texture features and fat fraction measured by 3D multiple gradient echo Dixon-based sequence. Mann-Whitney U test was used to compare the texture features between CMT patients and volunteers. Intraobserver and interobserver agreements for the texture features were assessed using the intraclass correlation coefficient. Results The SD (ρ = 0.256, p < 0.001) and entropy (ρ = 0.263, p < 0.001) were significantly and positively correlated with fat fraction; skewness (ρ = − 0.110, p = 0.027) and kurtosis (ρ = − 0.149, p = 0.003) were significantly and inversely correlated with fat fraction. The CMT patients showed a significantly higher SD (63.45 vs. 49.26; p < 0.001), skewness (1.06 vs. 0.56; p < 0.001), kurtosis (4.00 vs. 1.81; p < 0.001), and entropy (3.20 vs. 3.02; p < 0.001) than did the volunteers. Intraobserver and interobserver agreements were almost perfect for mean, SD, and entropy. Conclusions Texture features using T1-weighted images correlated with fat fraction and differed between CMT patients and volunteers. Key Points • Standard deviation and entropy of muscles derived from T1-weighted images were significantly and positively correlated with the muscle fat fraction. • Mean, standard deviation, and entropy were considered highly reliable in muscle analyses. • Texture features may have the potential to diagnose early stage of intramuscular fatty infiltration. Keywords Magnetic resonance imaging . Muscles . Muscular diseases
Abbreviations 3D Three-dimensional CMT Charcot-Marie-Tooth disease GRMD Golden retriever muscular dystrophy
* Young Cheol Yoon [email protected] 1
Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul 06351, South Korea
2
Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, Seoul 06351, South Korea
ICC MRI NEX ROI SD TE TR
Intraclass correlation coefficient Magnetic resonance imaging Number of averages Region of interest Standard deviation Echo time Repetition time
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