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Órgano Oficial del Colegio Mexicano de Ortopedia y Traumatología

2024, Number 5

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Acta Ortop Mex 2024; 38 (5)

Correlation and diagnostic agreement between magnetic resonance imaging and arthroscopy in rotator cuff rupture: a 10-year study at the Naval Medical Center

Nicolás-Piña I, Muñoz-Galguera R, Díaz-De-Jesús B

Language: Spanish
References: 15
Page: 279-284
PDF size: 195.83 Kb.


ABSTRACT

Introduction: arthroscopy is the gold standard for detecting rotator cuff tears, but its invasive nature limits widespread use. Magnetic resonance imaging (MRI) serves as a precise alternative. The correlation and diagnostic agreement between MRI and arthroscopy are unclear in the Mexican population. Material and methods: adults with rotator cuff syndrome who underwent shoulder arthroscopy and MRI were included. Findings were classified as total tear (100%), partial tear grade I (< 50%), partial tear grade II (≥ 50%), or no tear. Concordance and correlation between MRI and arthroscopy were evaluated. The accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of MRI for diagnosing rotator cuff tears were calculated. Results: we included 147 patients with rotator cuff syndrome. MRI identified tears in 83%, of which 91.8% were confirmed by arthroscopy. Diagnostic agreement between arthroscopy and MRI was moderate (kappa = 0.452, p = 0.0001). Similarly, arthroscopy and MRI showed moderate agreement in classifying partial tears grade I, partial tears grade II, and complete tears (kappa = 0.412, p = 0.0001). Significant correlations were found in detecting partial tears grade I, partial tears grade II, and complete tears (rho = 0.77, p = 0.0001) between MRI and arthroscopy. Conclusions: magnetic Resonance Imaging (MRI) and arthroscopy demonstrated moderate diagnostic agreement (kappa = 0.452, p = 0.0001) along with a strong positive correlation (rho = 0.77, p = 0.0001) for detecting rotator cuff tears, regardless of severity.


REFERENCES

  1. Miniato MA, Anand P, Varacallo M. Anatomy, Shoulder and Upper Limb, Shoulder. 2023. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024.

  2. Maruvada S, Madrazo-Ibarra A, Varacallo M. Anatomy, rotator cuff. 2023. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024.

  3. Yang S, Kim TU, Kim DH, Chang MC. Understanding the physical examination of the shoulder: a narrative review. Ann Palliat Med. 2021; 10(2): 2293-2303.

  4. Zong LZ, Duan MM, Yuan WW, Lu HD. Efficacy of shoulder arthroscopic surgery for the treatment of rotator cuff injury: a protocol of systematic review and meta-analysis. Medicine (Baltimore). 2020; 99(26): e20591.

  5. Nho SJ, Shindle MK, Sherman SL, Freedman KB, Lyman S, MacGillivray JD. Systematic review of arthroscopic rotator cuff repair and mini-open rotator cuff repair. J Bone Joint Surg Am. 2007; 89(Suppl 3): 127-36.

  6. McCrum E. MR imaging of the rotator cuff. Magn Reson Imaging Clin N Am. 2020; 28(2): 165-79.

  7. Adriani M, Saccomanno MF, Motta M, Galli S, Milano G. Reliability of magnetic resonance imaging criteria for the preoperative assessment of rotator cuff tears: a systematic review. Am J Sports Med. 2024; 52(3): 845-58.

  8. Rodríguez MB, Arce G, Barrenechea DM, Calvo E. La clasificación ISAKOS de las roturas del manguito rotador. Rev Esp Artrosc Cir Articul. 2020; 27(4): 339-47.

  9. Spencer EE Jr, Dunn WR, Wright RW, Wolf BR, Spindler KP, McCarty E, et al. Interobserver agreement in the classification of rotator cuff tears using magnetic resonance imaging. Am J Sports Med. 2008; 36(1): 99-103.

  10. Castro MC, Martini HA. Potencia estadística y cálculo del tamaño del efecto en G1Power: complementos a las pruebas de significación estadística y su aplicación en psicología. Salud & Sociedad. 2014; 5(2): 210-44.

  11. Thiagarajan A, Nagaraj R, Marathe K. Correlation between clinical diagnosis, mri, and arthroscopy in diagnosing shoulder pathology. Cureus. 2021; 13(12): e20654.

  12. Farooqi AS, Lee A, Novikov D, Kelly AM, Li X, Kelly JD 4th, Parisien RL. Diagnostic accuracy of ultrasonography for rotator cuff tears: a systematic review and meta-analysis. Orthop J Sports Med. 2021; 9(10): 23259671211035106.

  13. Dong X, Wang L. The imaging diagnosis of patients with shoulder pain caused by sports injury. Appl Bionics Biomech. 2022; 2022: 5272446.

  14. Sharma G, Bhandary S, Khandige G, Kabra U. MR Imaging of rotator cuff tears: correlation with arthroscopy. J Clin Diagn Res. 2017; 11(5): TC24-7.

  15. Bhatnagar A, Bhonsle S, Mehta S. Correlation between MRI and arthroscopy in diagnosis of shoulder pathology. J Clin Diagn Res. 2016; 10(2): RC18-21.



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