|
|
Clinical Observation of MRI in Diagnosing Rotator Cuff Injuries and Assessing the Degree of Tears |
PAN Xiaowen, GAO Yan, DAN Qian, et al |
Sichuan Orthopedic Hospital, Sichuan Chengdu 610041, China |
|
|
Abstract Objective: To explore the application efficacy of MRI in diagnosing rotator cuff injury and assessing the tear degree.Methods: A retrospective analysis was conducted on the data of 183 patients with shoulder injuries in our hospital. All patients underwent a magnetic resonance imaging (MRI) examination, using arthroscopy as the gold standard to investigate the diagnostic value of MRI for rotator cuff injuries. The detection of injuries and the degree of tears in different tendons of the rotator cuff were examined, and the deviation in the measurements of tendon tear sizes in full-thickness tears by MRI compared to arthroscopy was analyzed.Results: Arthroscopic examination revealed 136 positive cases of rotator cuff injuries out of 183 patients, and 47 negative cases. MRI detected 134 positive cases and 49 negative cases, with a diagnostic sensitivity of 95.59% (130/136), specificity of 91.49% (43/47), accuracy of 94.54% (173/183), positive predictive value of 97.01% (130/134), negative predictive value of 87.76% (43/49), and a Kappa value of 0.859. Arthroscopy diagnosed a total of 373 injuries in 183 patients, including 136 supraspinatus tendon injuries, 122 infraspinatus tendon injuries, and 115 subscapularis tendon injuries. The detection rate of MRI for supraspinatus, infraspinatus, and subscapularis tendon injuries was significantly lower than that of arthroscopy (P<0.05). Among the 136 patients with rotator cuff injuries, there were 45 cases of full-thickness tears and 91 cases of partial tears. The accuracy of MRI in diagnosing full-thickness tears was 93.33% (42/45) and 94.51% (86/91) for partial tears, with a total accuracy of 94.12% (128/136), which was significantly lower than that of arthroscopy (P<0.05). The accuracy of MRI in measuring the retraction degree and tear span of the tendon ends in full-thickness tears was 86.67% (39/45) and 82.22% (37/45), respectively.Conclusion: MRI has a high diagnostic value for both rotator cuff injuries and the degree of tendon tears, providing a reliable preoperative diagnostic basis for rotator cuff injuries, and is worth promoting in clinical application.
|
|
|
|
|
[1] Esfandiari MA,Fallah Tafti M,Jafarnia Dabanloo N,et al.Detection of the rotator cuff tears using a novel convolutional neural network from magnetic resonance image (MRI)[J].Heliyon,2023,9(5):15804. [2] Lin DJ,Schwier M,Geiger B,et al.Deep learning diagnosis and classification of rotator cuff tears on shoulder MRI[J].Invest Radiol,2023,58(6):405-412. [3] Zoga AC,Kamel SI,Hynes JP,et al.The evolving roles of MRI and ultrasound in first-line imaging of rotator cuff injuries[J].AJR Am Roentgenol,2021,217(6):1390-1400. [4] Morgan CN,Bonner KF,Griffin JW.Augmentation of arthroscopic rotator cuff repair:biologics and grafts[J].Clin Sports Med,2023,42(1):95-107. [5] 季康,俞涵,陈刚,等.关节镜下不同穿骨技术修复肩袖损伤的有限元分析[J].中国骨伤,2022,35(10):990-995. [6] 李旭雪,钟鉴,陈君蓉,等.CT造影与MRI造影诊断肩关节SLAP损伤的比较[J].中国骨与关节损伤杂志,2021,36(4):344-347. [7] 彭杰,王良勇,马静,等.不同场强MRI及CT对肩袖损伤诊断的对比研究[J].中国CT和MRI杂志,2023,21(1):158-160. [8] 袁红梅,蒲劲松,岳文胜等.超声与MRI在肩袖损伤中的临床应用价值[J].中国医药导报,2020,17(13):148-151,156. [9] 宋宝东,浦瑶瑶.3.0T常规MRI技术在肩袖撕裂诊断中的意义[J].中国实验诊断学,2019,23(3):469-471. [10] 彭碧荣,汪祝莎,梅豪,等.肩袖撕裂术前MRI评估与修复术后疗效的相关性分析[J].武汉大学学报(医学版),2021,42(3):441-444. [11] Gereli A,Uslu S,Okur B,et al.Effect of suprascapular nerve injury on rotator cuff enthesis[J].Shoulder Elbow Surg,2020,29(8):1584-1589. |
|
|
|