Literature DB >> 30870028

A Clinical Comparison of Linear- and Surface Area-Based Methods of Measuring Glenoid Bone Loss: Letter to the Editor.

Lukas P E Verweij, Derek F P van Deurzen, Gino M M J Kerkhoffs, Michel P J van den Bekerom.   

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Year:  2019        PMID: 30870028      PMCID: PMC6587360          DOI: 10.1177/0363546519825635

Source DB:  PubMed          Journal:  Am J Sports Med        ISSN: 0363-5465            Impact factor:   6.202


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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 al[8] 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.
  15 in total

1.  Simultaneous 3D assessment of glenohumeral shape, humeral head centering, and scapular positioning in atraumatic shoulder instability: a magnetic resonance-based in vivo analysis.

Authors:  Rüdiger von Eisenhart-Rothe; Hermann Otto Mayr; Stefan Hinterwimmer; Heiko Graichen
Journal:  Am J Sports Med       Date:  2009-11-25       Impact factor: 6.202

Review 2.  The True Recurrence Rate and Factors Predicting Recurrent Instability After Nonsurgical Management of Traumatic Primary Anterior Shoulder Dislocation: A Systematic Review.

Authors:  David N Wasserstein; Ujash Sheth; Kristina Colbenson; Patrick D G Henry; Jaskarndip Chahal; Tim Dwyer; John E Kuhn
Journal:  Arthroscopy       Date:  2016-07-31       Impact factor: 4.772

3.  Bipolar Bone Loss in Patients With Anterior Shoulder Dislocation: A Comparison of Adolescents Versus Adult Patients.

Authors:  Brian C Lau; Devin Conway; Patrick F Curran; Brian T Feeley; Nirav K Pandya
Journal:  Arthroscopy       Date:  2017-06-16       Impact factor: 4.772

4.  Redefining "Critical" Bone Loss in Shoulder Instability: Functional Outcomes Worsen With "Subcritical" Bone Loss.

Authors:  James S Shaha; Jay B Cook; Daniel J Song; Douglas J Rowles; Craig R Bottoni; Steven H Shaha; John M Tokish
Journal:  Am J Sports Med       Date:  2015-04-16       Impact factor: 6.202

5.  The instability severity index score. A simple pre-operative score to select patients for arthroscopic or open shoulder stabilisation.

Authors:  F Balg; P Boileau
Journal:  J Bone Joint Surg Br       Date:  2007-11

6.  Management of Recurrent Anterior Shoulder Instability With Bipolar Bone Loss: A Systematic Review to Assess Critical Bone Loss Amounts.

Authors:  Anirudh K Gowd; Joseph N Liu; Brandon C Cabarcas; Grant H Garcia; Gregory L Cvetanovich; Matthew T Provencher; Nikhil N Verma
Journal:  Am J Sports Med       Date:  2018-08-27       Impact factor: 6.202

7.  Relevance of arm position and muscle activity on three-dimensional glenohumeral translation in patients with traumatic and atraumatic shoulder instability.

Authors:  Ruediger M O von Eisenhart-Rothe; Alwin Jäger; Karl-Hans Englmeier; Thomas J Vogl; Heiko Graichen
Journal:  Am J Sports Med       Date:  2002 Jul-Aug       Impact factor: 6.202

8.  A Clinical Comparison of Linear- and Surface Area-Based Methods of Measuring Glenoid Bone Loss.

Authors:  Neil K Bakshi; George A Cibulas; Jon K Sekiya; Asheesh Bedi
Journal:  Am J Sports Med       Date:  2018-07-16       Impact factor: 6.202

9.  A comparison of the spectrum of intra-articular lesions in acute and chronic anterior shoulder instability.

Authors:  Christos K Yiannakopoulos; Elias Mataragas; Emmanuel Antonogiannakis
Journal:  Arthroscopy       Date:  2007-09       Impact factor: 4.772

10.  The Influence of Bone Loss on Glenoid Version Measurement: A Computer-Modeled Cadaveric Analysis.

Authors:  Justin W Griffin; Michael Collins; Timothy S Leroux; Brian J Cole; Bernard R Bach; Brian Forsythe; Nikhil N Verma; Anthony A Romeo; Adam B Yanke
Journal:  Arthroscopy       Date:  2018-06-21       Impact factor: 4.772

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