Morphology of the acromioclavicular-joint score (MAC)

• Published in: Archives of orthopaedic and trauma surgery 2023-03, Vol.143 (3), p.1523-1529
• Main Authors: Farkhondeh Fal, Milad, Junker, Marius, Mader, Konrad, Frosch, Karl Heinz, Kircher, Jörn
• Format: Article
• Language: English
• Subjects: Arthroscopy and Sports Medicine; Asymptomatic; Magnetic resonance imaging; Medicine; Medicine & Public Health; Morphology; Orthopedics
• ISSN: 1434-3916; 0936-8051; 1434-3916
• DOI: 10.1007/s00402-022-04407-3

Introduction To date there is no generally accepted specific definition or classification of acromioclavicular (AC) joint osteoarthritis. The aim of this study is to analyze morphological parameters using magnetic resonance imaging (MRI) and to develop a scoring system as a basis for decision making to perform an AC-joint resection. Materials and methods In a retrospective-monocentric matched pair study, healthy and affected subjects were investigated using T2 MRI scans in the transverse plane. There were two groups, group 1 ( n  = 151) included healthy asymptomatic adults with no history of trauma. In group 2, we included n  = 99 patients with symptomatic AC joints, who underwent arthroscopic AC-joint resection. The central and posterior joint space width and the AC angle were measured. Morphological changes such as cartilage degeneration, cysts and bone edema were noted. Malalignment of the joint was defined as: posterior joint space width  12°. A scoring system consisting of the measured morphologic factors was developed. Results Symptomatic and asymptomatic patients showed significant differences in all measured items. We observed a significant difference in the MAC score for symptomatic and asymptomatic patients (mean 10.4 vs. 20.6, p  = 0.0001). The ROC (receiver operator characteristic) analysis showed an excellent AUC of 0.899 ( p  = 0.001). The sensitivity of the MAC score was 0.81 and the specificity 0.86. The MAC score shows a significant moderate correlation with age ( r  = 0.358; p  = 0.001). The correlation of age and the development of symptoms was only weak ( r  = 0.22, p  = 0.001). Symptomatic patients showed significantly more frequent malalignment compared to asymptomatic patients ( p  = 0.001), but the positive predictive value that a patient with malalignment is also symptomatic is only 55%. Conclusion Patients with symptomatic AC joints showed a typical pattern of morphological changes on axial MRI scans with early posterior contact of the joint surfaces, reduction of joint space and malalignment as the basis for the development of a scoring system. The MAC score shows excellent test characteristics, and therefore, proved to be both an appropriate guidance for clinical practice as well as an excellent tool for comparative studies and is superior to the assessment of malalignment alone. Level of evidence Level IV, retrospective diagnostic study.