| Literature DB >> 34036111 |
Shigeto Nakagawa1, Wataru Sahara2, Kazutaka Kinugasa3, Ryohei Uchida4, Tatsuo Mae2.
Abstract
BACKGROUND: In shoulders with traumatic anterior instability, a bipolar bone defect has been recognized as an important indicator of the prognosis.Entities:
Keywords: 3-dimensional computed tomography; bipolar bone defects; patient age; primary dislocation; primary subluxation; scoring system
Year: 2021 PMID: 34036111 PMCID: PMC8127765 DOI: 10.1177/23259671211003553
Source DB: PubMed Journal: Orthop J Sports Med ISSN: 2325-9671
Figure 1.Quantification of glenoid defect size and Hill-Sachs lesion size on 3-dimensional (3D) computed tomography scan. (A) The extent of the glenoid defect: B/A × 100%, where A is the diameter of the fitted circle and B is the width of the glenoid defect. (B) Through use of en face 3D-reconstructed images that showed the Hill-Sachs lesion, the longest line connecting the medial and lateral edges of the lesion was defined as the lesion width, C. The humeral head diameter was defined as the diameter of the circle on the axial slice with the largest circle. Then, the size of the Hill-Sachs lesion was calculated as a percentage of the humeral head diameter.
Figure 2.Definition of Hill-Sachs interval (HSI): the length between the rotator cuff attachments (L1) and the medial aspect of the Hill-Sachs lesion (L2). FP, footprint of rotator cuff attachment; HS, Hill-Sachs lesion.
Scoring According to the Size of the Bone Defects
| Score, Points | |||||
|---|---|---|---|---|---|
| Bone Defect Size | 0 | 1 | 2 | 3 | 4 |
| (None) | (Small) | (Medium) | (Large) | (Very Large) | |
| Glenoid defect size, % of glenoid rim width | 0 | >0-10 | >10-20 | >20-30 | >30 |
| Hill-Sachs lesion size, % of humeral head diameter | 0 | >0-10 | >10-20 | >20-30 | >30 |
Figure 3.The number of shoulders for each glenoid defect score according to (A) glenoid defect size and according to bone fragment/erosion among shoulders with a glenoid defect at (B) dislocation and (C) subluxation.
Figure 4.The number of shoulders for each Hill-Sachs lesion score.
Bipolar Bone Defects Stratified by Type of Instability
| Bone Defect | Dislocation (n = 91) | Subluxation (n = 65) |
|
|---|---|---|---|
| No lesion | 18 (19.8) | 36 (55.4) | <.001 |
| Isolated Hill-Sachs lesion | 40 (44.0) | 10 (15.4) | <.001 |
| Isolated glenoid defect | 4 (4.4) | 11 (16.9) | .012 |
| Bipolar bone loss | 29 (31.9) | 8 (12.3) | .007 |
Values are expressed as n (%).
Bipolar Bone Defect Scores Stratified by Type of Instability
| Dislocation (n = 91) | Subluxation (n = 65) | ||||
|---|---|---|---|---|---|
| Bone Defect Score | Mean ± SD | Median (IQR) | Mean ± SD | Median (IQR) |
|
| Glenoid defect score | 0.5 ± 0.9 | 0 (0-1) | 0.3 ± 0.6 | 0 (0-1) | .112 |
| Hill-Sachs lesion score | 1.6 ± 1.2 | 2 (1-2) | 0.4 ± 0.7 | 0 (0-1) | <.001 |
| Combined defect score | 2.1 ± 1.6 | 2 (1-3) | 0.8 ± 0.9 | 0 (0-1) | <.001 |
IQR, interquartile range.
Figure 5.The number of shoulders for each bipolar bone defect score.
Combined Defect Scores Stratified by Type of Instability and Age at CT Scanning
| Combined Defect Score | Age at CT Scanning |
| ||
|---|---|---|---|---|
| <20 y | 20-29 y | ≥30 y | ||
| Dislocation | (n = 46) | (n = 22) | (n = 23) | <.001 |
| Mean ± SD | 1.6 ± 1.2 | 1.9 ± 1.5 | 3.4 ± 1.6 | |
| Median (IQR) | 2 (1-2) | 2 (0.25-2.75) | 4 (3-4) | |
| Subluxation | (n = 41) | (n = 20) | (n = 4) | .885 |
| Mean ± SD | 0.8 ± 1.0 | 0.7 ± 0.9 | 0.8 ± 0.8 | |
| Median (IQR) | 0 (0-1) | 0 (0-1.25) | 0.5 (0-1.25) | |
|
| <.001 | <.001 | <.001 | |
CT, computed tomography; IQR, interquartile range.
Figure 6.Number of shoulders for each combined defect score stratified by the age at computed tomography scanning for (A) primary dislocation and (B) primary subluxation.