1. A reliable and robust method for the upper thigh muscle quantification on computed tomography: toward a quantitative biomarker for sarcopenia.
- Author
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Ko Y, Shin Y, Sung YS, Lee J, Lee JH, Kim JK, Park J, Ko HS, Kim KW, and Huh J
- Subjects
- Biomarkers, Humans, Magnetic Resonance Imaging, Muscle, Skeletal diagnostic imaging, Muscle, Skeletal pathology, Thigh diagnostic imaging, Tomography, X-Ray Computed, Sarcopenia diagnostic imaging
- Abstract
Background: We aimed to evaluate the feasibility of the upper thigh level as a landmark to measure muscle area for sarcopenia assessment on computed tomography (CT)., Methods: In the 116 healthy subjects who performed CT scans covering from mid-abdomen to feet, the skeletal muscle area in the upper thigh level at the inferior tip of ischial tuberosity (SMA
UT ), the mid-thigh level (SMAMT ), and L3 inferior endplate level (SMAL3 ) were measured by two independent readers. Pearson correlation coefficients between SMAUT , SMAMT , and SMAL3 were calculated. Inter-reader agreement between the two readers were evaluated using intraclass correlation coefficient (ICC) and Bland-Altman plots with 95% limit of agreement (LOA)., Results: In readers 1 and 2, very high positive correlations were observed between SMAUT and SMAMT (r = 0.91 and 0.92, respectively) and between SMAUT and SMAL3 (r = 0.90 and 0.91, respectively), while high positive correlation were observed between SMAMT and SMAL3 (r = 0.87 and 0.87, respectively). Based on ICC values, the inter-reader agreement was the best in the SMAUT (0.999), followed by the SMAL3 (0.990) and SMAMT (0.956). The 95% LOAs in the Bland-Altman plots indicated that the inter-reader agreement of the SMAUT (- 0.462 to 1.513) was the best, followed by the SMAL3 (- 9.949 to 7.636) and SMAMT (- 12.105 to 14.605)., Conclusion: Muscle area measurement at the upper thigh level correlates well with those with the mid-thigh and L3 inferior endpoint level and shows the highest inter-reader agreement. Thus, the upper thigh level might be an excellent landmark enabling SMAUT as a reliable and robust biomarker for muscle area measurement for sarcopenia assessment., (© 2022. The Author(s).)- Published
- 2022
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