Literature DB >> 33310151

Moving forward with the echo intensity mean analysis: Exploring echo intensity bands in different age groups.

Ronei Silveira Pinto1, Matheus Daros Pinto2.   

Abstract

This study compared ultrasound characteristics in youth, younger adults, and older adults using two different methods of analysis: based on clusters of pixel concentration of the grayscale (i.e. EI bands) and the traditionally calculated echo intensity mean. Forty-four healthy youth (13.3 ± 1.4 y), 22 younger adults (31.8 ± 10.1 y) and 53 older adults (66.7 ± 4.6 y) volunteered for the assessment of rectus femoris EI via ultrasonography. Pixel concentration (i.e. EI bands) was calculated in intervals of 0-50, 51-100, 101-150, 151-200, and 201-255 of the gray scale, while EI mean was determined as the average pixels from 0 to 255. EI0-50 significantly decreased with group age, while EI51-100, 101-150, 151-200, 201-255 and EI mean increased (P < 0.001). The differences between groups were greater using EI0-50 compared to the EI mean (i.e. EI0-50: youth = ~353% and younger adults = ~251% > older adults; whereas EI mean: youth = ~46% and younger adults = 29% < older adults). These results potentially indicate that EI bands method offer different information than the EI mean method. In addition, EI bands may be a promising approach to understand tissue-specific adaptations to physical training and neuromuscular diseases, yet future studies should validate this method.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Ageing; Grayscale analysis; Intramuscular fat; Muscle quality; Muscle tissue composition; Ultrasonography

Year:  2020        PMID: 33310151     DOI: 10.1016/j.exger.2020.111179

Source DB:  PubMed          Journal:  Exp Gerontol        ISSN: 0531-5565            Impact factor:   4.032


  1 in total

1.  The impact of skeletal muscle disuse on distinct echo intensity bands: A retrospective analysis.

Authors:  Zachary S Logeson; Rob J MacLennan; Gerard-Kyle B Abad; Johnathon M Methven; Molly R Gradl; Matheus D Pinto; Ronei S Pinto; Matt S Stock
Journal:  PLoS One       Date:  2022-01-11       Impact factor: 3.240

  1 in total

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