| Literature DB >> 35252927 |
Yuji Shibayama1, Toshiaki Hirose2, Akira Sugi1, Emi Mizushima1, Yuto Watanabe1, Rira Tomii1, Kousuke Iba1, Toshihiko Yamashita1.
Abstract
BACKGROUND: Magnetic resonance imaging (MRI) is useful for diagnosing shoulder diseases preoperatively. However, preoperative risk factors for retears have not been previously reported using a radial-slice MRI. Here, we investigated the relationship between the preoperative tear area of the rotator cuff evaluated using radial-slice MRI and the postoperative rotator cuff integrity. Our hypothesis is that larger tear area of the rotator cuff measured using radial-slice MRI would be associated with increased retear rates.Entities:
Keywords: Cuff integrity; Prognostic factors; Radial magnetic resonance imaging; Retear; Risk factor; Rotator cuff tear
Year: 2021 PMID: 35252927 PMCID: PMC8888162 DOI: 10.1016/j.jseint.2021.11.005
Source DB: PubMed Journal: JSES Int ISSN: 2666-6383
Figure 1Imaging procedure used for radial slices. First, the rotation axis (dashed line) was defined by using (A) axial and (B) coronal scans. (C) Second, this axis was used to obtain 18 slices (white line) per 10° rotational angles.
Figure 2Calculation for the tear area of the rotator cuff. (A) The size of the rotator cuff tear was measured for all the slices. (B) The formula for the tear area was calculated as the value computed by multiplying the sum of the tear size by the radial slice interval (indicated by bidirectional arrow).
Preoperative factors.
| Factors | Healed group (n = 87) | Retear group (n = 15) | |
|---|---|---|---|
| Age, y | 66.7 ± 0.9 | 67.8 ± 2.4 | .646 |
| Dominant hand | 60 (69.0) | 11 (73.3) | .803 |
| Duration of symptoms (mo) | 9.6 ± 0.7 | 9.3 ± 2.0 | .85 |
| Gender, n (%) | .132 | ||
| Male | 53 (60.9) | 9 (60.0) | |
| Female | 34 (39.1) | 6 (40.0) | |
| Smoking status | 14 (16.1) | 1 (6.7) | .346 |
| Body mass index, kg/m2 | 24.3 ± 0.4 | 24.7 ± 1.3 | .756 |
| Diabetes | 14 (16.1) | 4 (26.7) | .326 |
| Hyperlipidemia | 9 (10.3) | 1 (6.7) | .582 |
| Hypertension | 21 (24.1) | 4 (26.7) | .911 |
Categorical variables are presented as number (%). Continuous variables are presented as mean ± standard deviation.
Imaging factors.
| Factors | Healed group | Retear group | |
|---|---|---|---|
| Acromiohumeral interval, mm | 9.0 ± 0.2 | 8.3 ± 0.7 | .236 |
| Critical shoulder angle, deg | 34.1 ± 0.4 | 34.0 ± 1.3 | .927 |
| Anteroposterior tear length by MRI, mm | 13.4 ± 0.7 | 28.2 ± 2.1 | <.001 |
| Mediolateral tear length by MRI, mm | 14.4 ± 0.9 | 31.1 ± 2.8 | <.001 |
| Occupation ratio of supraspinatus, % | 82.8 ± 2.3 | 62.9 ± 4.5 | <.001 |
| Supraspinatus fatty infiltration, n (%) | <.001 | ||
| Grade 0 | 10 (11.5) | 0 (0) | |
| Grade 1 | 50 (57.5) | 2 (13.3) | |
| Grade 2 | 25 (28.7) | 8 (53.3) | |
| Grade 3 | 2 (2.3) | 5 (33.3) | |
| Grade 4 | 0 (0) | 0 (0) | |
| Infraspinatus fatty infiltration, n (%) | <.001 | ||
| Grade 0 | 19 (10.3) | 0 (0) | |
| Grade 1 | 35 (40.2) | 4 (26.7) | |
| Grade 2 | 31 (35.6) | 5 (33.3) | |
| Grade 3 | 2 (2.3) | 5 (33.3) | |
| Grade 4 | 0 (0) | 1 (6.7) | |
| Subscapularis muscle atrophy, n (%) | .051 | ||
| Grade 0 | 16 (18.4) | 1 (6.7) | |
| Grade 1 | 41 (47.1) | 5 (33.3) | |
| Grade 2 | 28 (32.2) | 8 (53.3) | |
| Grade 3 | 2 (2.3) | 1 (6.7) | |
| Grade 4 | 0 (0) | 0 (0) | |
| Tangent sign | 6 (6.9) | 7 (46.7) | <.001 |
| Tear area by radial MRI, cm2 | 1.8 ± 0.2 | 10.5 ± 1.3 | <.001 |
MRI, magnetic resonance imaging.
Categorical variables are presented as number (%). Continuous variables are presented as mean ± standard deviation. Fatty infiltration was graded according to the criteria by Goutallier et al.
Intraobserver reliability and interobserver reproducibility.
| Factors | Intraobserver reliability | Interobserver reproducibility | |
|---|---|---|---|
| Acromiohumeral interval | .835 | .871 | <.001 |
| Critical shoulder angle | .922 | .936 | <.001 |
| Anteroposterior tear length by MRI | .965 | .959 | <.001 |
| Mediolateral tear length by MRI | .985 | .971 | <.001 |
| Occupation ratio of supraspinatus | .942 | .912 | <.001 |
| Supraspinatus fatty infiltration | .81 | .919 | <.001 |
| Infraspinatus fatty infiltration | .848 | .838 | <.001 |
| Subscapularis fatty infiltration | .787 | .862 | <.001 |
| Tangent sign | 1 | .824 | <.001 |
| Tear area by radial MRI | .989 | .993 | <.001 |
Values evaluated with intraclass correlation coefficients.
Values evaluated with Cohen kappa.
Intraoperative factors.
| Factors | Healed group | Retear group | |
|---|---|---|---|
| Subscapularis tear | 51 (59) | 10 (67) | .587 |
| Biceps lesion | 40 (46) | 9 (60) | .405 |
| Mediolateral tear length, mm | 20.8 ± 2.5 | 35.7 ± 7.5 | <.001 |
| Anteroposterior tear length, mm | 16.6 ± 7.5 | 32.3 ± 12.5 | <.001 |
| Tear area, cm2 | 3.8 ± 2.0 | 12.1 ± 7.8 | <.001 |
Values expressed as number (%).
Continuous variables are presented as mean ± standard deviation.
Results of multiple logistic regression analysis.
| Factors | Odds ratio | 95% Confidence interval | |
|---|---|---|---|
| Anteroposterior tear length by MRI, mm | 0.905 | 0.727-1.125 | .367 |
| Mediolateral tear length by MRI, mm | 1.029 | 0.771-1.373 | .846 |
| Occupation ratio of supraspinatus, % | 1.107 | 1.000-1.225 | .05 |
| Supraspinatus fatty infiltration | 4.946 | 0.322-75.969 | .251 |
| Infraspinatus fatty infiltration | 1.088 | 0.229-5.171 | .916 |
| Tangent sign | 4.903 | 0.224-107.301 | .313 |
| Tear area by radial MRI, cm2 | 4.876 | 1.606-14.802 | .005 |
MRI, magnetic resonance imaging.
Figure 3Receiver operating characteristic (ROC) curves for the prediction of retears with the tear area.