A formula for instability-related bone loss: estimating glenoid width and redefining bare spot

Int Orthop. 2024 Apr;48(4):1057-1063. doi: 10.1007/s00264-024-06095-7. Epub 2024 Feb 2.

Abstract

Purpose: The aim of the study reveals a new intuitive method for preoperatively assessing defect ratio in glenoid deficiency based on the native glenoid width and the bare spot.

Methods: A linear relationship, i.e. the rh formula, between the native glenoid width (2r) and height (h) was revealed by a cadaver cohort (n = 204). To validate the reliability of the rh formula, 280 3D-CT images of intact glenoids were recruited. To evaluate the accuracy of rh formula in estimating glenoid defect, the 65 anterior-inferior defect models were artificially established based on the 3D-CT images of intact glenoids. Moreover, a clinically common anterior-posterior (AP) method was compared with the rh formula, to verify the technical superiority of rh formula.

Results: The regression analysis indicated a linear relationship between the width and height of intact glenoid: 2r = 0.768 × h - 1.222 mm (R2 = 0.820, p < 0.001). An excellent reliability was found between the formula prediction and model width (ICC = 0.911, p = 0.266). An excellent agreement was found between the predicted values and model parameters (glenoid width, ICCrh = 0.967, prh = 0.778; defect ratio, prh = 0.572, ICCrh = 0.997). And, it is of higher accuracy compared to the AP method (glenoid width, ICCAP = 0.933, pAP = 0.001; defect ratio, ICCAP = 0.911, pAP = 0.033).

Conclusion: Applying the cadaver-based formula on 3D-CT scans accurately predicts native glenoid width and redefines bare spot for preoperatively determining glenoid bone loss.

Keywords: 3D-CT; Anterior glenohumeral instability; Bare spot; Best-fit circle; Cadaver-based formula; Glenoid bone loss.

MeSH terms

  • Bone Diseases, Metabolic*
  • Cadaver
  • Glenoid Cavity* / diagnostic imaging
  • Humans
  • Joint Instability*
  • Reproducibility of Results
  • Scapula / diagnostic imaging
  • Shoulder Joint* / diagnostic imaging
  • Shoulder Joint* / surgery
  • Tomography, X-Ray Computed / methods