MRI in the Assessment of TMJ-Arthritis in Children with JIA; Repeatability of a Newly Devised Scoring System
Peer reviewed, Journal article
Published version
Date
2021Metadata
Show full item recordCollections
Abstract
Rationale and Objectives: The temporomandibular joint (TMJ) is commonly involved in children with juvenile idiopathic arthritis. The diagnosis and evaluation of the disease progression is dependent on medical imaging. The precision of this imaging is under debate. Several scoring systems have been proposed but transparent testing of the precision of the constituents of the scoring systems is lacking. The present study aims to test the precision of 25 imaging features based on magnetic resonance imaging (MRI). Materials and Methods: Clinical data and imaging were obtained from the Norwegian juvenile idiopathic arthritis study, The NorJIA study. Twenty-five imaging features of the TMJ in MRI datasets from 86 study participants were evaluated by two experienced radiologists for inter- and intraobserver agreement. Agreement of ordinal variables was measured with Cohen's linear or weighted Kappa as appropriate. Agreement of continuous measurements was assessed with 95% limit of agreement according to Bland-Altman. Results: In the osteochondral domain, the ordinal imaging variables “loss of condylar volume”, “condylar shape,” “condylar irregularities”, “shape of the eminence/fossa”, “disk abnormalities” and “condylar inclination” showed inter- and intraobserver agreement above Kappa 0.5. In the inflammatory domain, the ordinal imaging variables “joint fluid”, “overall impression of inflammation”, “synovial enhancement” and “bone marrow oedema” showed inter- and intraobserver agreement above Kappa 0.5. Continuous measurements performed poorly with wide limits of agreement. Conclusion: A precise MRI-based scoring system for assessment of TMJ in JIA is proposed consisting of seven variables in the osteochondral domain and four variables in the inflammatory domain. Further testing of the clinical validity of the variables is needed.