DOI QR코드

DOI QR Code

Interobserver agreement for detecting Hill-Sachs lesions on magnetic resonance imaging

  • Alkaduhimi, Hassanin (Shoulder and Elbow Unit, Joint Research, OLVG Hospital) ;
  • Saarig, Aimane (Shoulder and Elbow Unit, Joint Research, OLVG Hospital) ;
  • Amajjar, Ihsan (Shoulder and Elbow Unit, Joint Research, OLVG Hospital) ;
  • van der Linde, Just A. (Department of Orthopedic Surgery and Traumatology, Reinier Haga Orthopedisch Centrum) ;
  • van Wier, Marieke F. (Shoulder and Elbow Unit, Joint Research, OLVG Hospital) ;
  • Willigenburg, Nienke W. (Shoulder and Elbow Unit, Joint Research, OLVG Hospital) ;
  • van den Bekerom, Michel P.J. (Shoulder and Elbow Unit, Joint Research, OLVG Hospital)
  • Received : 2021.03.10
  • Accepted : 2021.04.27
  • Published : 2021.06.01

Abstract

Background: Our aim is to determine the interobserver reliability for surgeons to detect Hill-Sachs lesions on magnetic resonance imaging (MRI), the certainty of judgement, and the effects of surgeon characteristics on agreement. Methods: Twenty-nine patients with Hill-Sachs lesions or other lesions with a similar appearance on MRIs were presented to 20 surgeons without any patient characteristics. The surgeons answered questions on the presence of Hill-Sachs lesions and the certainty of diagnosis. Interobserver agreement was assessed using the Fleiss' kappa (κ) and percentage of agreement. Agreement between surgeons was compared using a technique similar to the pairwise t-test for means, based on large-sample linear approximation of Fleiss' kappa, with Bonferroni correction. Results: The agreement between surgeons in detecting Hill-Sachs lesions on MRI was fair (69% agreement; κ, 0.304; p<0.001). In 84% of the cases, surgeons were certain or highly certain about the presence of a Hill-Sachs lesion. Conclusions: Although surgeons reported high levels of certainty for their ability to detect Hill-Sachs lesions, there was only a fair amount of agreement between surgeons in detecting Hill-Sachs lesions on MRI. This indicates that clear criteria for defining Hill-Sachs lesions are lacking, which hampers accurate diagnosis and can compromise treatment.

Keywords

Acknowledgement

Shoulder and Elbow Center (collaborators): Gregory R. Waryasz; Matthijs R. Krijnen; Pierre Mansat; Sven A.F. Tulner; Christian M. Fortanier; Carola F. van Eck; Ruud P. van Hove; Christiaan J.A. van Bergen; John N. Trantalis; Paul Hoogervorst; Tjarco D.W. Alta; Guus J.M. Janus; Alexander van Tongel; Diederik J.W. Meijer; Ronald N. Wessel; Mark Schnetzke; John Cheung; Derek F.P. van Deurzen.

References

  1. Di Giacomo G, Piscitelli L, Pugliese M. The role of bone in glenohumeral stability. EFORT Open Rev 2018;3:632-40. https://doi.org/10.1302/2058-5241.3.180028
  2. Reddy MP, Krishnan SG. Hill-Sachs lesions are best treated with a surface replacement: affirms. Semin Arthroplasty 2014;25:226-30. https://doi.org/10.1053/j.sart.2015.02.002
  3. Di Giacomo G, Peebles LA, Pugliese M, et al. Glenoid track instability management score: radiographic modification of the instability severity index score. Arthroscopy 2020;36:56-67. https://doi.org/10.1016/j.arthro.2019.07.020
  4. Cicak N, Bilic R, Delimar D. Hill-Sachs lesion in recurrent shoulder dislocation: sonographic detection. J Ultrasound Med 1998;17:557-60. https://doi.org/10.7863/jum.1998.17.9.557
  5. Workman TL, Burkhard TK, Resnick D, et al. Hill-Sachs lesion: comparison of detection with MR imaging, radiography, and arthroscopy. Radiology 1992;185:847-52. https://doi.org/10.1148/radiology.185.3.1438774
  6. Stefaniak J, Lubiatowski P, Kubicka AM, Wawrzyniak A, Walecka J, Romanowski L. Clinical and radiological examination of bony-mediated shoulder instability. EFORT Open Rev 2020;5:815-27. https://doi.org/10.1302/2058-5241.5.200049
  7. Weel H, Tromp W, Krekel PR, Randelli P, van den Bekerom MP, van Deurzen DF. International survey and surgeon's preferences in diagnostic work-up towards treatment of anterior shoulder instability. Arch Orthop Trauma Surg 2016;136:741-6. https://doi.org/10.1007/s00402-016-2443-7
  8. Saqib R, Harris J, Funk L. Comparison of magnetic resonance arthrography with arthroscopy for imaging of shoulder injuries: retrospective study. Ann R Coll Surg Engl 2017;99:271-4. https://doi.org/10.1308/rcsann.2016.0249
  9. Kalson NS, Geoghegan JM, Funk L. Magnetic resonance arthrogram and arthroscopy of the shoulder: a comparative retrospective study with emphasis on posterior labral lesions and radiologist locality. Shoulder Elbow 2011;3:210-4. https://doi.org/10.1111/j.1758-5740.2011.00149.x
  10. Hayes ML, Collins MS, Morgan JA, Wenger DE, Dahm DL. Efficacy of diagnostic magnetic resonance imaging for articular cartilage lesions of the glenohumeral joint in patients with instability. Skeletal Radiol 2010;39:1199-204. https://doi.org/10.1007/s00256-010-0922-4
  11. Theodoropoulos JS, Andreisek G, Harvey EJ, Wolin P. Magnetic resonance imaging and magnetic resonance arthrography of the shoulder: dependence on the level of training of the performing radiologist for diagnostic accuracy. Skeletal Radiol 2010;39:661-7. https://doi.org/10.1007/s00256-009-0811-x
  12. van Grinsven S, Kesselring FO, van Wassenaer-van Hall HN, Lindeboom R, Lucas C, van Loon CJ. MR arthrography of traumatic anterior shoulder lesions showed modest reproducibility and accuracy when evaluated under clinical circumstances. Arch Orthop Trauma Surg 2007;127:11-7. https://doi.org/10.1007/s00402-006-0205-7
  13. Kirkley A, Litchfield R, Thain L, Spouge A. Agreement between magnetic resonance imaging and arthroscopic evaluation of the shoulder joint in primary anterior dislocation of the shoulder. Clin J Sport Med 2003;13:148-51. https://doi.org/10.1097/00042752-200305000-00004
  14. Chauvin NA, Jaimes C, Ho-Fung V, Wells L, Ganley T, Jaramillo D. Diagnostic performance of magnetic resonance arthrography of the shoulder in children. Pediatr Radiol 2013;43:1309-15. https://doi.org/10.1007/s00247-013-2685-2
  15. Mahmoud MK, Badran YM, Zaki HG, Ali AH. One-shot MR and MDCT arthrography of shoulder lesions with arthroscopic correlation. Egypt J Radiol Nucl Med 2013;44:273-81. https://doi.org/10.1016/j.ejrnm.2013.01.002
  16. O'Brien J, Grebenyuk J, Leith J, Forster BB. Frequency of glenoid chondral lesions on MR arthrography in patients with anterior shoulder instability. Eur J Radiol 2012;81:3461-5. https://doi.org/10.1016/j.ejrad.2012.05.013
  17. Simao MN, Nogueira-Barbosa MH, Muglia VF, Barbieri CH. Anterior shoulder instability: correlation between magnetic resonance arthrography, ultrasound arthrography and intraoperative findings. Ultrasound Med Biol 2012;38:551-60. https://doi.org/10.1016/j.ultrasmedbio.2011.12.021
  18. Halma JJ, Eshuis R, Krebbers YM, Weits T, de Gast A. Interdisciplinary inter-observer agreement and accuracy of MR imaging of the shoulder with arthroscopic correlation. Arch Orthop Trauma Surg 2012;132:311-20. https://doi.org/10.1007/s00402-011-1370-x
  19. Beason AM, Koehler RJ, Sanders RA, et al. Surgeon agreement on the presence of pathologic anterior instability on shoulder imaging studies. Orthop J Sports Med 2019;7:2325967119862501.
  20. van Grinsven S, Nijenhuis TA, Konings PC, van Kampen A, van Loon CJ. Are radiologists superior to orthopaedic surgeons in diagnosing instability-related shoulder lesions on magnetic resonance arthrography? A multicenter reproducibility and accuracy study. J Shoulder Elbow Surg 2015;24:1405-12. https://doi.org/10.1016/j.jse.2015.05.050
  21. Baudi P, Campochiaro G, Rebuzzi M, Matino G, Catani F. Assessment of bone defects in anterior shoulder instability. Joints 2013;1:40-8.
  22. Probyn LJ, White LM, Salonen DC, Tomlinson G, Boynton EL. Recurrent symptoms after shoulder instability repair: direct MR arthrographic assessment: correlation with second-look surgical evaluation. Radiology 2007;245:814-23. https://doi.org/10.1148/radiol.2453061329
  23. Klein D. Implementing a general framework for assessing interrater agreement in Stata. Stata J 2018;18:871-901. https://doi.org/10.1177/1536867X1801800408
  24. Gwet KL. Testing the difference of correlated agreement coefficients for statistical significance. Educ Psychol Meas 2016;76:609-37. https://doi.org/10.1177/0013164415596420
  25. Fox JA, Cole BJ, Romeo AA, et al. Articular cartilage thickness of the humeral head: an anatomic study. Orthopedics 2008;31:216. https://doi.org/10.3928/01477447-20080301-11
  26. Richards RD, Sartoris DJ, Pathria MN, Resnick D. Hill-Sachs lesion and normal humeral groove: MR imaging features allowing their differentiation. Radiology 1994;190:665-8. https://doi.org/10.1148/radiology.190.3.8115607
  27. Sasyniuk TM, Mohtadi NG, Hollinshead RM, Russell ML, Fick GH. The inter-rater reliability of shoulder arthroscopy. Arthroscopy 2007;23:971-7. https://doi.org/10.1016/j.arthro.2007.03.005
  28. van der Veen HC, Collins JP, Rijk PC. Value of magnetic resonance arthrography in post-traumatic anterior shoulder instability prior to arthroscopy: a prospective evaluation of MRA versus arthroscopy. Arch Orthop Trauma Surg 2012;132:371-5. https://doi.org/10.1007/s00402-011-1423-1
  29. Rouleau DM, Garant-Saine L, Canet F, Sandman E, Menard J, Clement J. Measurement of combined glenoid and Hill-Sachs lesions in anterior shoulder instability. Shoulder Elbow 2017;9:160-8. https://doi.org/10.1177/1758573216681208
  30. Assuncao JH, Gracitelli ME, Borgo GD, Malavolta EA, Bordalo-Rodrigues M, Ferreira Neto AA. Tomographic evaluation of Hill-Sachs lesions: is there a correlation between different methods of measurement. Acta Radiol 2017;58:77-83. https://doi.org/10.1177/0284185116633918

Cited by

  1. With the exception of the Hill-Sachs interval, CT and MRI show no significant differences in the diagnostic value of the HSL measurement regardless of the measurement technique vol.29, pp.12, 2021, https://doi.org/10.1007/s00167-021-06695-5