Centile Reference Curves of the Ultrasound-based Characteristics of the Rectus Femoris Muscle Composition in Children at 4-11 Years Old

Overview

Journal Front Pediatr

Specialty Pediatrics

Date 2023 Aug 28

PMID 37635791

Authors

Yesenia Garcia-Alonso

Alicia M Alonso-Martinez

Antonio Garcia-Hermoso

Gaizka Legarra-Gorgonon

Mikel Izquierdo

Robinson Ramirez-Velez

Affiliations

Soon will be listed here.

Abstract

Quantitative diagnostic ultrasound has been proposed as a way to characterize muscle structure, but there is a lack of normative data for children. This study aims to establish age-specific normal ranges for echo-intensity (EI), cross-sectional area (CSA), muscular thickness (MT), and subcutaneous adipose thickness (SAT) values of the rectus femoris muscle in typically developing children. The study recruited 497 children (288 boys and 209 girls) aged 4-10.9 years (mean age 7.39 years), and muscle parameters were measured using 2D B-mode ultrasound. Percentile values and reference curves were calculated using the Lambda, Mu, and Sigma method (LMS). The results showed small variation between measurements for boys compared to girls, with the most significant difference in EI, CSA, and MT values. EI decreased with age, with the most pronounced curve in boys. SAT increased in both sexes, with a slightly higher increase in girls after the age of 9.0 years. This study provides the first age-specific reference norms for the rectus femoris muscle architecture in children, and further research is needed to validate these curves and determine their clinical utility.

References

Young H, Jenkins N, Zhao Q, McCully K . Measurement of intramuscular fat by muscle echo intensity. Muscle Nerve. 2015; 52(6):963-71. PMC: 4575231. DOI: 10.1002/mus.24656. View

Cole T, Green P . Smoothing reference centile curves: the LMS method and penalized likelihood. Stat Med. 1992; 11(10):1305-19. DOI: 10.1002/sim.4780111005. View

Sponbeck J, Frandsen C, Ridge S, Swanson D, Swanson D, Wayne Johnson A . Leg muscle cross-sectional area measured by ultrasound is highly correlated with MRI. J Foot Ankle Res. 2021; 14(1):5. PMC: 7802339. DOI: 10.1186/s13047-021-00446-y. View

Zhou J, Zhang F, Qin X, Li P, Teng Y, Zhang S . Age at adiposity rebound and the relevance for obesity: a systematic review and meta-analysis. Int J Obes (Lond). 2022; 46(8):1413-1424. DOI: 10.1038/s41366-022-01120-4. View

Newman A, Kupelian V, Visser M, Simonsick E, Goodpaster B, Kritchevsky S . Strength, but not muscle mass, is associated with mortality in the health, aging and body composition study cohort. J Gerontol A Biol Sci Med Sci. 2006; 61(1):72-7. DOI: 10.1093/gerona/61.1.72. View

Stock M, Thompson B . Echo intensity as an indicator of skeletal muscle quality: applications, methodology, and future directions. Eur J Appl Physiol. 2020; 121(2):369-380. DOI: 10.1007/s00421-020-04556-6. View

Neto Muller J, Lanferdini F, Passos Karam J, de Brito Fontana H . Examination of the confounding effect of subcutaneous fat on muscle echo intensity utilizing exogenous fat. Appl Physiol Nutr Metab. 2020; 46(5):473-478. DOI: 10.1139/apnm-2020-0413. View

Nunez M, Nunez E, Moreno J, Segura V, Lozano L, Maurits N . Quadriceps muscle characteristics and subcutaneous fat assessed by ultrasound and relationship with function in patients with knee osteoarthritis awaiting knee arthroplasty. J Clin Orthop Trauma. 2019; 10(1):102-106. PMC: 6349663. DOI: 10.1016/j.jcot.2017.11.014. View

Arts I, Pillen S, Jurgen Schelhaas H, Overeem S, Zwarts M . Normal values for quantitative muscle ultrasonography in adults. Muscle Nerve. 2009; 41(1):32-41. DOI: 10.1002/mus.21458. View

10.

Pahor M, Manini T, Cesari M . Sarcopenia: clinical evaluation, biological markers and other evaluation tools. J Nutr Health Aging. 2009; 13(8):724-8. PMC: 4312657. DOI: 10.1007/s12603-009-0204-9. View

11.

Lexell J, TAYLOR C, Sjostrom M . What is the cause of the ageing atrophy? Total number, size and proportion of different fiber types studied in whole vastus lateralis muscle from 15- to 83-year-old men. J Neurol Sci. 1988; 84(2-3):275-94. DOI: 10.1016/0022-510x(88)90132-3. View

12.

Biltz N, Collins K, Shen K, Schwartz K, Harris C, Meyer G . Infiltration of intramuscular adipose tissue impairs skeletal muscle contraction. J Physiol. 2020; 598(13):2669-2683. PMC: 8767374. DOI: 10.1113/JP279595. View

13.

Perkisas S, Bastijns S, Baudry S, Bauer J, Beaudart C, Beckwee D . Application of ultrasound for muscle assessment in sarcopenia: 2020 SARCUS update. Eur Geriatr Med. 2021; 12(1):45-59. DOI: 10.1007/s41999-020-00433-9. View

14.

Mitchell W, Williams J, Atherton P, Larvin M, Lund J, Narici M . Sarcopenia, dynapenia, and the impact of advancing age on human skeletal muscle size and strength; a quantitative review. Front Physiol. 2012; 3:260. PMC: 3429036. DOI: 10.3389/fphys.2012.00260. View

15.

Cadore E, Izquierdo M, Conceicao M, Radaelli R, Pinto R, Baroni B . Echo intensity is associated with skeletal muscle power and cardiovascular performance in elderly men. Exp Gerontol. 2012; 47(6):473-8. DOI: 10.1016/j.exger.2012.04.002. View

16.

Nijholt W, Jager-Wittenaar H, Raj I, van der Schans C, Hobbelen H . Reliability and validity of ultrasound to estimate muscles: A comparison between different transducers and parameters. Clin Nutr ESPEN. 2020; 35:146-152. DOI: 10.1016/j.clnesp.2019.10.009. View

17.

Casey P, Alasmar M, Mclaughlin J, Ang Y, McPhee J, Heire P . The current use of ultrasound to measure skeletal muscle and its ability to predict clinical outcomes: a systematic review. J Cachexia Sarcopenia Muscle. 2022; 13(5):2298-2309. PMC: 9530572. DOI: 10.1002/jcsm.13041. View

18.

Ramirez-Velez R, Ezzatvar Y, Izquierdo M, Garcia-Hermoso A . Effect of exercise on myosteatosis in adults: a systematic review and meta-analysis. J Appl Physiol (1985). 2020; 130(1):245-255. DOI: 10.1152/japplphysiol.00738.2020. View

19.

Studenski S, Peters K, Alley D, Cawthon P, McLean R, Harris T . The FNIH sarcopenia project: rationale, study description, conference recommendations, and final estimates. J Gerontol A Biol Sci Med Sci. 2014; 69(5):547-58. PMC: 3991146. DOI: 10.1093/gerona/glu010. View

20.

Garcia-Alonso Y, Garcia-Hermoso A, Alonso-Martinez A, Legarra-Gorgonon G, Izquierdo M, Ramirez-Velez R . Associations between physical fitness components with muscle ultrasound parameters in prepuberal children. Int J Obes (Lond). 2022; 46(5):960-968. DOI: 10.1038/s41366-022-01066-7. View