Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Sep;32(3):132-141.
doi: 10.5371/hp.2020.32.3.132. Epub 2020 Sep 2.

Assessing Low Skeletal Mass in Patients Undergoing Hip Surgery: The Role of Sonoelastography

Affiliations

Assessing Low Skeletal Mass in Patients Undergoing Hip Surgery: The Role of Sonoelastography

Ki-Choul Kim et al. Hip Pelvis. 2020 Sep.

Abstract

Purpose: To analyze the utility of sonoelastography-a radiation-free procedure to characterize muscle properties-as an instrument to qualitatively and quantitatively assess the rectus femoris muscle.

Materials and methods: Fifty-one consecutive patients who underwent a pelvic computed tomography (CT) exam were enrolled prospectively. The final analysis was conducted using data from 39 patients after 12 were removed due to exclusion criteria (muscle strength could not be measured due to poor cognition [n=11]; too young [n=1]). The potential correlation between average Hounsfield unit (HFU) at the rectus femoris muscle (measured by CT) and muscle quality grade (determined by sonoelastography) was assessed along with a retrospective analysis of the relationship between hand grip strength, knee extensor power, history of intensive care unit stay, length of hospital day and sonoelastographic grade.

Results: There was a significant correlation between sonoelastographic grade and the average HFU (P<0.001). Furthermore, hand grip strength (P<0.001) and knee extensor power (P<0.001) decreased significantly as the sonoelastographic grade increased. The likelihood of an intensive care unit stay and prevalence of low skeletal mass increased significantly with an increase in sonoelastography grade (P=0.037, P<0.001, respectively). The sensitivity, specificity, and accuracy of sonoelastographic images for predicting low skeletal mass were 77.3%, 100%, and 87.5%, respectively.

Conclusion: Sonoelastography advantages, including the lack of radiation and greater accessibility, may make it a valuable alternative to qualitatively and quantitatively identify sarcopenia and low skeletal mass.

Keywords: Femur; Muscle strength; Sarcopenia; Sonoelastography.

PubMed Disclaimer

Conflict of interest statement

CONFLICT OF INTEREST: The authors declare that there is no potential conflict of interest relevant to this article.

Figures

Fig. 1
Fig. 1. Conventional ultrasonographic (US) images of the rectus femoris muscle and sonoelastographic images using frozen US images. (A) The blue region is dominant and thus classified as grade 0. (B) When The blue region is relatively dominant (i.e., involved more than half of the muscle), it is classified as grade 1. (C) When the area occupied by the blue region is less than half, it is classified as grade 2.
RF: rectus femoris, VL: vastus lateralis, VI: vastus intermedius.
Fig. 2
Fig. 2. Cross-sectional area of rectus femoris muscle was taken at three-fifths of the interval from the anterior superior iliac spine to the superior patellar border. By outlining the rectus femoris muscle using computed tomography images, average Hounsfield unit calculations and cross-sectional area of the rectus femoris was obtained.
Fig. 3
Fig. 3. Positive correlation between sonoelastographic grade and average Hounsfield unit (HFU) calculation.
Fig. 4
Fig. 4. Positive correlation between CSARF (sonoelastography) and CSARF (computed tomography).
SD: standard deviation.
Fig. 5
Fig. 5. Significant differences in grip power and knee extensor power based on sonoelastography grade.
Fig. 6
Fig. 6. Frequency of non-sarcopenia and sarcopenia by sonoelastography grade.

Similar articles

Cited by

  • Biomarkers and Nutrients in Musculoskeletal Disorders.
    Calvo-Lobo C, Becerro-de-Bengoa-Vallejo R, Losa-Iglesias ME, Rodríguez-Sanz D, López-López D, San-Antolín M. Calvo-Lobo C, et al. Nutrients. 2021 Jan 20;13(2):283. doi: 10.3390/nu13020283. Nutrients. 2021. PMID: 33498342 Free PMC article.

References

    1. Rosenberg IH. Summary comments. Am J Clin Nutr. 1989;50:1231–1233.
    1. Cruz-Jentoft AJ, Baeyens JP, Bauer JM, et al. Sarcopenia: European consensus on definition and diagnosis: report of the European Working Group on Sarcopenia in Older People. Age Ageing. 2010;39:412–423. - PMC - PubMed
    1. Fielding RA, Vellas B, Evans WJ, et al. Sarcopenia: an undiagnosed condition in older adults. Current consensus definition: prevalence, etiology, and consequences. International Working Group on Sarcopenia. J Am Med Dir Assoc. 2011;12:249–256. - PMC - PubMed
    1. Gariballa S, Alessa A. Sarcopenia: prevalence and prognostic significance in hospitalized patients. Clin Nutr. 2013;32:772–776. - PubMed
    1. Jones KI, Doleman B, Scott S, Lund JN, Williams JP. Simple psoas cross-sectional area measurement is a quick and easy method to assess sarcopenia and predicts major surgical complications. Colorectal Dis. 2015;17:O20–O26. - PubMed

LinkOut - more resources