Texture analysis using T1-weighted images for muscles in Charcot-Marie-Tooth disease patients and volunteers.

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...

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Publicado en:European Radiology Vol. 31; no. 5; pp. 3508 - 3518
Autores principales: Lee, Ji Hyun, Yoon, Young Cheol, Kim, Hyun Su, Kim, Jae-Hun, Choi, Byung-Ok
Formato: diagnostic images research tables/charts Journal Article
Publicado: Springer Nature May2021
Acceso en línea:Ver este registro en EBSCOhost
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      pub: Springer Nature
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        atl: Texture analysis using T1-weighted images for muscles in Charcot-Marie-Tooth disease patients and volunteers.
      aug:
        au:
          Lee, Ji Hyun
          Yoon, Young Cheol
          Kim, Hyun Su
          Kim, Jae-Hun
          Choi, Byung-Ok
        affil: Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Ilwon-Ro, Gangnam-gu, 06351, Seoul, South Korea
      sug:
        subj:
          Charcot-Marie-Tooth Disease
          Magnetic Resonance Imaging
          Research Subjects
          Retrospective Design
          Muscles
          Human
      ab: 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.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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