K.W. Kim and Y. Lee, "Correlation between Low Skeletal Muscle Index and 3D Anthropometric Data of Lower Extremities Measured by 3D Body Scanner", Proc. of 3DBODY.TECH 2023 - 14th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 17-18 Oct. 2023, #26, https://doi.org/10.15221/23.26.

Title:

Correlation between Low Skeletal Muscle Index and 3D Anthropometric Data of Lower Extremities Measured by 3D Body Scanner

Authors:

Kyu Wan KIM, Yohan LEE

Dept. of Orthopaedic Surgery, Seoul National Univ., College of Medicine, SMG-SNU Boramae Medical Center, Seoul, S. Korea

Abstract:

Background: The initial screening test for sarcopenia is performed by measuring the circumference of the calf (CC). However, the circumference measurement has the disadvantage of being inaccurate depending on the measurer and the measurement method. This study aims to confirm what factors can be used for the initial screening test for sarcopenia in the 3-dimensional anthropometric data of the lower extremities and what the cut-off value is.
Methods: From October 2022 to February 2023, we retrospectively analyzed the results of 3D human body scanner measurement and bio-impedance analysis for patients aged 50 to 80 at risk of Sarcopenia. The 3D human body scanner results measured the surface and volume values of both thigh, and calf. In bio-impedance, the presence or absence of sarcopenia was confirmed by the SMI value. Statistical differences in surface and volume values of the thigh and calf according to the presence or absence of sarcopenia were confirmed, and receiver operating characteristic (ROC) analysis was analyzed for statistically significant values.
Results: Sarcopenia was present in 6 out of 62 subjects with an SMI value of less than 5.7. Compared to non-sarcopenic patients, sarcopenic patients showed significantly lower values of right, left and the mean calf volume (right calf volume 2.62m2 vs 3.34m2, p 0.033; left calf volume 2.62m2 vs 3.25m2, p 0.044; mean volume of both calf 2.62m2 vs 3.29m2, p 0.029). Also, the mean surface of calf showed statistically lower value on sarcopenic patients (mean surface of both calf 0.12m2 vs 0.13m2, p 0.049). However, there was no statistical difference between sarcopenia and non-sarcopenia groups in thigh volume and surface. ROC curve analysis was conducted for four significant values (right and left calf volume, the mean calf volume, and the mean calf surface), and right calf volume showed the most valuable cut-off value. (Right calf volume 2.80m2, AUC 0.768; left calf volume 2.75m2, AUC 0.753; mean calf volume 3.06m2, AUC 0.774; mean calf surface 0.12m2, AUC 0.747)
Conclusion: It was confirmed that the four variables of calf volume and surface were variables that had a significant relationship with sarcopenia, and confirmed that right calf volume, which had the highest AUC value, could be used as the most significant variable. In addition, the cut-off of sarcopenia diagnosis could be set through ROC curve analysis for each variable.

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Full paper: PDF
Presentation: VIDEO
Proceedings: 3DBODY.TECH 2023, 17-18 Oct. 2023, Lugano, Switzerland
Paper id#: 26
DOI: 10.15221/23.26

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