Dear Editor:
With interest we read the study of Bakshi et al,1 and we are pleased to see that there is attention for the challenging topic of recurrent shoulder instability and how to determine recurrence risk. We applaud the authors for performing the study called “A Clinical Comparison of Linear- and Surface Area–Based Methods of Measuring Glenoid Bone Loss” to get more insight into this recurrence risk. However, we do have some comments regarding the study design and the clinical relevance of studying isolated glenoid bone loss. The investigators compared linear- and surface-based methods in measuring glenoid bone loss and included patients aged 15 to 58 years. Young age has been identified as an important prognostic factor for the risk of recurrent dislocation.15 Including patients of young age will introduce bias, as their risk of developing recurrence is already higher than that of older patients. The inclusion criteria should have included patients who were ≥18 years to prevent bias.2,5
Moreover, the authors mentioned that for glenoid bone loss approaching 15% to 20% of anterior glenoid surface, a bony augmentation procedure should be strongly considered to reduce failure rates.1 However, in some groups, the percentage to consider a bony augmentation procedure may even be <15%.11 These numbers illustrate that there is still a lot of controversy regarding the cutoff values and measuring methods for glenoid bone loss.3 Everyone will agree that glenoid bone loss is an important factor in determining recurrence risk and that these percentages could contribute to determine increased recurrence risk. However, the conclusions presented in the current article have to be drawn in light of these comments. Numerous studies have focused on the correct cutoff values of glenoid bone loss. This raises the question, is this discussion ever going to end, or is there something that we are overlooking and not accounting for, because bone loss is probably not the only factor that plays a role in calculating recurrence risk? Damage to soft tissue and glenohumeral bony structures leads to a mechanical disruption of the shoulder joint, leading to inadequate centering of the humeral head relative to the glenoid.13,14 Next to bone loss, neuromuscular control, laxity, muscle strength, and a Hill-Sachs lesion are important factors in this dynamic mechanical disruption as well.6,7 Glenoid bone loss is often accompanied by one of these factors. For example, a Hill-Sachs lesion is present in up to 93% of patients with instability.16
Achieving consensus with regard to measuring bone loss may be hampered by several other factors as well. Moroder et al8 showed that scapular tilt and best-fit circle placement have a significant effect on the calculated glenoid bone loss percentage. Furthermore, glenoid bone loss influences glenoid version, and the bone loss is not always at the same position.4,9 It is impossible to account for alterations in glenoid version if we continue using 2-dimensional measuring methods. This inevitably will introduce bias into glenoid bone loss measurements, even though interobserver reliability shows high agreement. In addition, creating a tool to use in clinical practice seems challenging, as these factors are difficult to standardize with the available measurements.
Furthermore, it was shown that not only glenoid bone loss but especially the interplay with the Hill-Sachs lesion is important with regard to recurrent instability.5,10 It was suggested that this can be evaluated only in a 3-dimensional dynamic setting.12 Glenoid bone loss is a convenient predicament parameter, as treating surgeons are able to treat this parameter and restore the bony defect by performing a glenoid bony augmentation procedure. These procedures will remain incredibly valuable in the treatment of shoulder instability and reduction of recurrence risk. However, in our opinion, glenoid bone loss alone is inadequate, and we have to come up with an alternative solution.
In conclusion, glenoid bone loss measurement is difficult to standardize and is not the only factor that is important in determining recurrence risk. Is there a way to bundle these prognostic factors and calculate a recurrence risk? Shoulder instability is not a static problem but a dynamic one. A shoulder dislocation is literally a translation of the humeral head. This translation is visible only in a dynamic setting and is a derivate of the factors that are important to keep the humeral head in place. Three-dimensional measurement techniques offer the opportunity to measure humeral translation. Therefore, we propose (1) to focus on this translation to predict recurrence risk and (2) to consider glenoid to be an important prognostic factor.
Lukas P.E. Verweij, BSc
Derek F.P. van Deurzen, MD
Gino M.M.J. Kerkhoffs, MD, PhD
Michel P.J. van den Bekerom, MD, PhD
Amsterdam, the Netherlands
Footnotes
The authors declared that they have no conflicts of interest in the authorship and publication of this contribution. AOSSM checks author disclosures against the Open Payments Database (OPD). AOSSM has not conducted an independent investigation on the OPD and disclaims any liability or responsibility relating thereto.
References
- 1. Bakshi NK, Cibulas GA, Sekiya JK, Bedi A. A clinical comparison of linear- and surface area–based methods of measuring glenoid bone loss. Am J Sports Med. 2018;46(10):2472-2477. [DOI] [PubMed] [Google Scholar]
- 2. Balg F, Boileau P. The instability severity index score: a simple pre-operative score to select patients for arthroscopic or open shoulder stabilisation. J Bone Joint Surg Br. 2007;89(11):1470-1477. [DOI] [PubMed] [Google Scholar]
- 3. Gowd AK, Liu JN, Cabarcas BC, et al. Management of recurrent anterior shoulder instability with bipolar bone loss: a systematic review to assess critical bone loss amounts [published online August 27, 2018]. Am J Sports Med. doi: 10.1177/0363546518791555 [DOI] [PubMed] [Google Scholar]
- 4. Griffin JW, Collins M, Leroux TS, et al. The influence of bone loss on glenoid version measurement: a computer-modeled cadaveric analysis. Arthroscopy. 2018;34(8):2319-2323 [DOI] [PubMed] [Google Scholar]
- 5. Lau BC, Conway D, Curran PF, Feeley BT, Pandya NK. Bipolar bone loss in patients with shoulder dislocation: a comparison of adolescents versus adult patients. Arthroscopy. 2017;33(10):1755-1761. [DOI] [PubMed] [Google Scholar]
- 6. Lee JH, Park JS, Hwang HJ, Jeong WK. Time to peak torque and acceleration time are altered in male patients following traumatic shoulder instability. J Shoulder Elbow Surg. 2018;27(8):1505-1511. [DOI] [PubMed] [Google Scholar]
- 7. Locher J, Wilken F, Beitzel K, et al. Hill-Sachs off-track lesions as risk factor for recurrence of instability after arthroscopic Bankart repair. Arthroscopy. 2016;32(10):1993-1999. [DOI] [PubMed] [Google Scholar]
- 8. Moroder P, Plachel F, Huettner A, et al. The effect of scapula tilt and best-fit circle placement when measuring glenoid bone loss in shoulder instability patients. Arthroscopy. 2018;34(2):398-404. [DOI] [PubMed] [Google Scholar]
- 9. Saito H, Itoi E, Sugaya H, Minagawa H, Yamamoto N, Tuoheti Y. Location of the glenoid defect in shoulders with recurrent anterior dislocation. Am J Sports Med. 2005;33(6):889-893. [DOI] [PubMed] [Google Scholar]
- 10. Shaha JS, Cook JB, Rowles DJ, Bottoni CR, Shaha SH, Tokish JM. Clinical validation of the glenoid track concept in anterior glenohumeral instability. J Bone Joint Surg Am. 2016;98(22):1918-1923. [DOI] [PubMed] [Google Scholar]
- 11. Shaha JS, Cook JB, Song DJ, et al. Redefining “critical” bone loss in shoulder instability: functional outcomes worsen with “subcritical” bone loss. Am J Sports Med. 2015;43(7):1719-1725. [DOI] [PubMed] [Google Scholar]
- 12. Shoulder Elbow Platform. http://www.shoulderelbowplatform.com/. Accessed October 16, 2018.
- 13. von Eisenhart-Rothe R, Mayr HO, Hinterwimmer S, Graichen H. Simultaneous 3D assessment of glenohumeral shape, humeral head centering, and scapular positioning in atraumatic shoulder instability: a magnetic resonance-based in vivo analysis. Am J Sports Med. 2010;38(2):375-382. [DOI] [PubMed] [Google Scholar]
- 14. von Eisenhart-Rothe RM, Jager A, Englmeier KH, Vogl TJ, Graichen H. Relevance of arm position and muscle activity on three-dimensional glenohumeral translation in patients with traumatic and atraumatic shoulder instability. Am J Sports Med. 2002;30(4):514-522. [DOI] [PubMed] [Google Scholar]
- 15. Wasserstein DN, Sheth U, Colbenson K, et al. The true recurrence rate and factors predicting recurrent instability after nonsurgical management of traumatic primary anterior shoulder dislocation: a systematic review. Arthroscopy. 2016;32(12):2616-2625. [DOI] [PubMed] [Google Scholar]
- 16. Yiannakopoulos CK, Mataragas E, Antonogiannakis E. A comparison of the spectrum of intra-articular lesions in acute and chronic anterior shoulder instability. Arthroscopy. 2007;23(9):985-990. [DOI] [PubMed] [Google Scholar]
