A reliable and robust method for the upper thigh muscle quantification on computed tomography: toward a quantitative biomarker for sarcopenia
- 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 (SMAUT), 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.
- Author(s)
- Yousun Ko; Youngbin Shin; Yu Sub Sung; Jiwoo Lee; Jei Hee Lee; Jai Keun Kim; Jisuk Park; Hye Sun Ko; Kyung Won Kim; Jimi Huh
- Issued Date
- 2022
- Type
- Article
- Keyword
- Biomarker; Computed tomography; Landmark; Muscle; Sarcopenia
- DOI
- 10.1186/s12891-022-05032-2
- URI
- https://oak.ulsan.ac.kr/handle/2021.oak/14582
- Publisher
- BMC MUSCULOSKELETAL DISORDERS
- Language
- 영어
- ISSN
- 1471-2474
- Citation Volume
- 23
- Citation Number
- 1
- Citation Start Page
- 1
- Citation End Page
- 7
-
Appears in Collections:
- Medicine > Nursing
- 공개 및 라이선스
-
- 파일 목록
-
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.