Javascript must be enabled for the correct page display
Faculty of Medical Sciences

Classificatie van afwijkingen van het AC gewricht op de MRI scan en de relatie met klinische klachten.

Donders, C.M. (2015) Classificatie van afwijkingen van het AC gewricht op de MRI scan en de relatie met klinische klachten. thesis, Medicine.

[img] Text
DondersCM.pdf
Restricted to Registered users only

Download (1MB)

Abstract

Background: In addition to clinical tests the MRI scan of the shoulder could be used to diagnose symptomatic acromioclavicular (AC) osteoarthritis. To our knowledge no classification or prediction model for AC osteoarthritis on the MRI scan has been published. Objective: In this study a classification of MRI deviations of the AC joint will be presented. A diagnostic prediction model of significant MRI signs of the AC joint will be developed that correlates with clinical tests of symptomatic AC osteoarthritis. Materials and methods: The MRI scans of 70 patients with symptomatic AC osteoarthritis were compared to MRI scans of 70 patients with chronic subacromial pain syndrome with no clinical signs of the AC joint. Seven variables have been evaluated on the MRI scans: joint width, osteophytes caudal, joint effusion, osteolysis, bone marrow edema, impression of the supraspinatus and joint distension caudal. A logistic regression has been using to develop the prediction model. Results: Four variables were significant: osteophytes caudal, bone marrow edema, impression and joint distension. Bone marrow edema has only been seen in the intervention group. The prediction model, which focuses on the presence of bone marrow edema or impression on the suprasinatustendon, has been developed. This model gave a high area under the curve (0.848), a sensitivity of 73 percent and a specificity of 94 percent. Conclusion: A diagnostic prediction model was developed of significant MRI signs of the AC joint that correlated with clinical tests of symptomatic AC osteoarthritis. The prediction model, which focuses on the presence of bone marrow edema and impression of the supraspinatus, had a high sensitivity and specificity. It is an easy, a rapidly and a reliable prediction model. The model has an added value to diagnose symptomatic AC osteoarthritis.

Item Type: Thesis (Thesis)
Supervisor name: Koorevaar, drs. C.T. and Deventer ziekenhuis, afdeling orthopedie
Faculty: Medical Sciences
Date Deposited: 25 Jun 2020 10:46
Last Modified: 25 Jun 2020 10:46
URI: https://umcg.studenttheses.ub.rug.nl/id/eprint/741

Actions (login required)

View Item View Item