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Reliability and agreement of lumbar multifidus volume and fat fraction quantification using magnetic resonance imaging.
- Source :
-
Musculoskeletal science & practice [Musculoskelet Sci Pract] 2022 Jun; Vol. 59, pp. 102532. Date of Electronic Publication: 2022 Feb 21. - Publication Year :
- 2022
-
Abstract
- Introduction: Magnetic resonance imaging (MRI) is the standard to quantify size and structure of lumbar muscles. Three-dimensional volumetric measures are expected to be more closely related to muscle function than two-dimensional measures such as cross-sectional area. Reliability and agreement of a standardized method should be established to enable the use of MRI to assess lumbar muscle characteristics.<br />Objectives: This study investigates the intra- and inter-processor reliability for the quantification of (1) muscle volume and (2) fat fraction based on chemical shift MRI images using axial 3D-volume measurements of the lumbar multifidus in patients with low back pain.<br />Methods: Two processors manually segmented the lumbar multifidus on the MRI scans of 18 patients with low back pain using Mevislab software following a well-defined method. Fat fraction of the segmented volume was calculated. Reliability and agreement were determined using intra-class correlation coefficients (ICC), Bland-Altman plots and calculation of the standard error of measurement (SEM) and minimal detectable change (MDC).<br />Results: Excellent ICCs were found for both intra-processor and inter-processor analysis of lumbar multifidus volume measurement, with slightly better results for the intra-processor reliability. The SEMs for volume were lower than 4.1 cm³. Excellent reliability and agreement were also found for fat fraction measures, with ICCs of 0.985-0.998 and SEMs below 0.946%.<br />Conclusion: The proposed method to quantify muscle volume and fat fraction of the lumbar multifidus on MRI was highly reliable, and can be used in further research on lumbar multifidus structure.<br /> (Copyright © 2022 Elsevier Ltd. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 2468-7812
- Volume :
- 59
- Database :
- MEDLINE
- Journal :
- Musculoskeletal science & practice
- Publication Type :
- Academic Journal
- Accession number :
- 35245881
- Full Text :
- https://doi.org/10.1016/j.msksp.2022.102532