Systematic Literature Review on the Efficacy of MRI in Musculoskeletal Disorder

Authors

  • Helmin Rumbiak Universitas Cendrawasih
  • M Arif Budiman Puskesmas Siak
  • Dewanto Universitas Negeri Surabaya

DOI:

https://doi.org/10.61991/ijeet.v2i2.71

Keywords:

Musculoskeletal Disorder; Systematica Literature Review

Abstract

This study focuses on the Systematic Literature Review (SLR) regarding the efficacy of the use of Magnetic Resonance Imaging (MRI) in diagnosing and assessing musculoskeletal disorders. The methodology used involves collecting and analyzing data from various previously published studies. Strict inclusion criteria are applied to ensure the relevance and quality of the reviewed studies. Out of a total of 120 articles identified, 10 articles met the criteria and were included in the analysis. The results of the SLR show that MRI is a highly effective diagnostic tool, providing a detailed picture of bone structure, soft tissue, and cartilage without the need for radiation exposure. The study also found that MRI has high sensitivity and specificity in identifying various types of musculoskeletal disorders, including but not limited to arthritis, ligament injuries, and tendon ruptures. What's more, MRI supports early diagnosis which helps in designing a precise and personalized treatment plan, potentially reducing the patient's recovery time. From this analysis, we recommend a wider use of MRI in musculoskeletal clinical practice. However, more research is needed to optimize the protocol and reduce the associated costs, thereby expanding its accessibility across various medical settings.

Downloads

Download data is not yet available.

References

Alsaady, A. (2023). Management of Musculoskeletal Disorders; A Systematic Review. International Journal of Medicine in Developing Countries. https://doi.org/10.24911/IJMDC.51-1699793829

Amiri, S., Mirahmadi, A., Parvandi, A., Moshfegh, M. Z., Hashemi Abatari, S. P., Farrokhi, M., Hoseini, S. M., Kazemi, S. M., Momenzadeh, K., Wu, J. S., & Nazarian, A. (2024). Excellent accuracy of magnetic resonance imaging for diagnosis of discoid meniscus tears: A systematic review and meta-analysis. Journal of Experimental Orthopaedics, 11(3), e12051. https://doi.org/10.1002/jeo2.12051

Beltran, J., Chandnani, V., McGhee, R. A., & Kursunoglu-Brahme, S. (1991). Gadopentetate dimeglumine-enhanced MR imaging of the musculoskeletal system. American Journal of Roentgenology, 156(3), 457–466. https://doi.org/10.2214/ajr.156.3.1899738

Bussières, A. E., Peterson, C., & Taylor, J. A. M. (2008). Diagnostic Imaging Guideline for Musculoskeletal Complaints in Adults—An Evidence-Based Approach—Part 2: Upper Extremity Disorders. Journal of Manipulative and Physiological Therapeutics, 31(1), 2–32. https://doi.org/10.1016/j.jmpt.2007.11.002

Daniel, A., Ullah, E., Wahab, S., & Kumar, V. (2009). Relevance of MRI in prediction of malignancy of musculoskeletal system-A prospective evaluation. BMC Musculoskeletal Disorders, 10(1), 125. https://doi.org/10.1186/1471-2474-10-125

Francisco, S. (2000). Lynne S. Steinbacha,*, Douglas K. Smithb,.

Gholamrezanezhad, A. (Ed.). (2011). 12 Chapters on Nuclear Medicine. InTech. https://doi.org/10.5772/1257

Guimaraes, J., Azevedo, I., Ahlawat, S., Ormond Filho, A., Astolfi, M., Lederman, H., & Fayad, L. (2021). The Role of Whole-Body MRI in Pediatric Musculoskeletal Oncology: Current Concepts and Clinical Applications. Journal of Magnetic Resonance Imaging, 59. https://doi.org/10.1002/jmri.27787

Heskamp, L., Birkbeck, M. G., Baxter-Beard, D., Hall, J., Schofield, Ian. S., Elameer, M., Whittaker, R. G., & Blamire, A. M. (n.d.). Motor Unit Magnetic Resonance Imaging (MUMRI) In Skeletal Muscle. Journal of Magnetic Resonance Imaging, n/a(n/a). https://doi.org/10.1002/jmri.29218

Khan, M. S., Shuaib, W., Evans, D. D., Swain, F. R., Alweis, R., Mehta, A. S., Johnson, J.-O., & Khosa, F. (2014). Evidence-Based Practice: Best Imaging Practice in Musculoskeletal Disorders. Journal of Trauma Nursing, 21(4), 170–179. https://doi.org/10.1097/JTN.0000000000000059

Koivisto, K., Kyllönen, E., Haapea, M., Niinimäki, J., Sundqvist, K., Pehkonen, T., Seitsalo, S., Tervonen, O., & Karppinen, J. (2014). Efficacy of zoledronic acid for chronic low back pain associated with Modic changes in magnetic resonance imaging. BMC Musculoskeletal Disorders, 15(1), 64. https://doi.org/10.1186/1471-2474-15-64

Lecouvet, F. E. (2016). Whole-Body MR Imaging: Musculoskeletal Applications. Radiology, 279(2), 345–365. https://doi.org/10.1148/radiol.2016142084

Martins, W., Blasczyk, J., Aparecida, M., Oliveira, F., Ferreira, K., Gonçalves, L., Bonini-Rocha, A., Dugailly, P.-M., & Oliveira, R. (2015). Efficacy of musculoskeletal manual approach in the treatment of temporomandibular joint disorder: A systematic review with meta-analysis. Manual Therapy, 21, 70340–0. https://doi.org/10.1016/j.math.2015.06.009

Omar, M., Watad, A., McGonagle, D., Soffer, S., Glicksberg, B. S., Nadkarni, G. N., & Klang, E. (2024). The Role of Deep Learning in Diagnostic Imaging of Spondyloarthropathies: A Systematic Review. https://doi.org/10.1101/2024.05.15.24307396

Pandey, T., Slaughter, A. J., Reynolds, K. A., Jambhekar, K., David, R. M., & Hasan, S. A. (2014). Clinical Orthopedic Examination Findings in the Upper Extremity: Correlation with Imaging Studies and Diagnostic Efficacy. RadioGraphics, 34(2), e24–e40. https://doi.org/10.1148/rg.342125061

Sujlana, P., Skrok, J., & Fayad, L. M. (2018). Review of dynamic contrast-enhanced MRI: Technical aspects and applications in the musculoskeletal system. Journal of Magnetic Resonance Imaging, 47(4), 875–890. https://doi.org/10.1002/jmri.25810

Taljanovic, M. S., Hunter, T. B., Fitzpatrick, K. A., Krupinski, E. A., & Pope, T. L. (2003). Musculoskeletal magnetic resonance imaging: Importance of radiography. Skeletal Radiology, 32(7), 403–411. https://doi.org/10.1007/s00256-003-0648-7

Downloads

Published

2024-08-02

How to Cite

Helmin Rumbiak, Budiman, M. A., & Dewanto. (2024). Systematic Literature Review on the Efficacy of MRI in Musculoskeletal Disorder. Indonesia Journal of Engineering and Education Technology (IJEET), 2(2), 362–370. https://doi.org/10.61991/ijeet.v2i2.71

Most read articles by the same author(s)