| Background and objective:Bursal-sided partial-thickness rotator cuff tears(PTRCTs),articular-sided PTRCTs,and intratendinous PTRCTs are the three different types of partial-thickness tears of the rotator cuff.Bursal-sided PTRCTs are more painful and negatively impact a patient’s quality of life than intratendinous and articular-sided PTRCTs.However,the factors causing bursal-sided PTRCTs are less studied,and it is unclear whether the anatomical characteristics of the bony structures in the shoulder joint relate to the bursal-sided PTRCTs.Therefore,this study aims to investigate the relationship between radiographic shoulder characteristics and bursal-sided PTRCTs and evaluate the predictive power of these characteristics for bursal-sided PTRCTs.Methods:A retrospective analysis was used,102 patients with bursal-sided PTRCTs identified at the Second Affiliated Hospital of Nanchang University between January 2021 to October 2022 were studied as bursal-sided PTRCTs group,and 102 patients matched with demographic information with intact rotator cuffs chosen as the control group.The two groups’ lateral acromial angle(LAA),greater tuberosity angle(GTA),critical shoulder angle(CSA),β-angle,acromion index(AI),acromiohumeral distance(AHD),acromial tilt(AT),acromial slope(AS),acromial type and acromial spur were all unilaterally logistic regression analyzed.Multivariable analyses were used to clarify the potential risks for bursal-sided PTRCTs.Pearson’s correlation coefficient was used to determine the associations between parameters.Receiver operating characteristic(ROC)analyses were performed to determine the cutoff values and to assess the sensitivity and specificity of CSA,GTA,and AI for bursal-sided PTRCTs.Result:(1)The findings of multivariate logistic regression analysis of bursal-sided PTRCTs demonstrated significant correlations between the acromial spur(p=0.024),GTA(p=0.004),CSA(p=0.003)and AI(p=0.048)and bursal-sided PTRCTs.(2)The acromial spur,GTA,CSA,and AI were all submitted to Pearson correlation analysis.The results indicated a fair agreement between the CSA and AI(r=0.41,p<0.01),no correlation between the GTA and AI or CSA(r<0.2),and similarly,no correlation between the acromial spur and any other parameters(r<0.2).(3)The area under the ROC curve for AI,CSA,and GTA,respectively,were 0.655(95%CI 0.580-0.729),0.714(95%CI 0.644-0.784),and 0.695(95%CI 0.622-0.767),Conclusion:(1)The acromial spur or larger CSA,AI,or GTA are risk factors for bursal-sided PTRCTs.Individuals with the acromial spur or greater CSA,AI,and GTA were more likely to develop bursal-sided PTRCTs.(2)CSA showed a fair correlation with AI among the risk factors for bursal-sided PTRCTs;however,there was no correlation between the other variables.(3)Regarding bursal-sided PTRCTs,CSA was the most powerful predictor of bursal-sided PTRCTs compared to GTA and AI. |
