Reliability of Evaluating Lumbar Paraspinal Muscles Using Magnetic Resonance and Computed Tomography Imaging in Adults With and Without Low Back Pain: A Systematic Review and Meta-Analysis
OBJECTIVE: To evaluate the reliability of magnetic resonance imaging (MRI) and computed tomography (CT) for assessing lumbar paraspinal muscles (LPMs) in adults with and without low back pain (LBP). DESIGN: Systematic review and meta-analysis following PRISMA of Diagnostic Test Accuracy. LITERATURE SEARCH: Searches of Medline, Embase, PubMed Central, Science Citation Index Expanded, Emerging Sources Citation Index, Social Sciences Citation Index, and the KCI-Korean Journal Database were conducted in 2022 and updated in 2024, without date restrictions. STUDY SELECTION CRITERIA: Studies reporting the reliability of MRI and/or CT for assessing the size and/or quality of the erector spinae, multifidi, quadratus lumborum, and/or psoas in adults, with/without LBP, were included. Two reviewers independently selected the studies. DATA SYNTHESIS: Studies reporting intraclass correlation coefficients (ICCs) were included in random-effects meta-analyses. All LPMs were analyzed in adults with and without LBP, followed by muscle-specific analyses regardless of LBP status. RESULTS: Seventy-three MRI and thirteen CT studies were included. Most studies assessed the erector spinae and multifidi at lower lumbar levels and underreported reliability methods. Fifty-seven MRI and nine CT studies were included in meta-analyses. MRI demonstrated excellent reliability for evaluating LPM size and quality in adults with/without LBP (ICCs: 0.922–0.983). CT assessments showed good-to-excellent reliability (ICCs: 0.839–0.994), based on ≤4 studies. Muscle-specific meta-analyses confirmed excellent reliability for MRI (ICCs: 0.931–0.977) and CT (ICCs: 0.929–0.970). CONCLUSION: LPM assessments using MRI and CT demonstrate excellent reliability regardless of LBP status. However, limited CT evidence and underreported methodology highlight the need for additional research and improved reliability.
Authors
- Lauren A. Terhorst (ORCID: https://orcid.org/0000-0001-6376-1470)
- Andrew Sprague (ORCID: https://orcid.org/0000-0001-6764-057X)
- Jaclyn Megan Sions (ORCID: https://orcid.org/0000-0002-8151-1341)
- Sara R. Piva (ORCID: https://orcid.org/0000-0002-1716-3151)
- Helena M. VonVille (ORCID: https://orcid.org/0000-0001-5193-2391)
- Charity G. Patterson
- Meenakshi Sundaram
- Lillian Koch
- Cristiane R. Carlesso
- Rafaela M. Barbosa
- Michael J. Schneider
- Tyler A. Ho
- Valerio E. Tonelli
Institutions
- University of Arizona (US)
- University of Pittsburgh (US)
- University of Utah (US)
- University of Delaware (US)
Publication Details
- Journal
- JOSPT Methods
- Published
- 2026-04-10
- DOI
- https://doi.org/10.2519/josptmethods.2026.0026
- Primary Topic
- Musculoskeletal pain and rehabilitation
- Type
- article
- Field-Weighted Citation Impact
- 0.00