English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Wrist instability remains a common health concern. Thepotential of dynamic Magnetic Resonance Imaging (MRI) in assessing carpaldynamics associated with this condition is a field of ongoing research. Thisstudy contributes to this line of inquiry by developing MRI-derived carpalkinematic metrics and investigating their stability. Methods: A previouslydescribed 4D MRI approach for tracking the movements of carpal bones in thewrist was deployed in this study. A panel of 120 metrics characterizingradial/ulnar deviation and flexion extension movements was constructed byfitting low order polynomial models of scaphoid and lunate degrees of freedomagainst that of the capitate. Intraclass Correlation Coefficients were utilizedto analyze intra- and inter-subject stability within a mixed cohort of 49subjects, including 20 with and 29 without a history of wrist injury. Results:A comparable degree of stability across the two different wrist movements. Outof the total 120 derived metrics, distinct subsets demonstrated high stabilitywithin each type of movement. Among asymptomatic subjects, 16 out of 17 metricswith high intra-subject stability also showed high inter-subject stability.Interestingly, some quadratic term metrics, although relatively unstable withinasymptomatic subjects, showed increased stability within this group, hinting atpotential differentiation in their behavior across different cohorts.Conclusion: This study showed the developing potential of dynamic MRI tocharacterize complex carpal bone dynamics. Stability analyses of the derivedkinematic metrics showed encouraging differences between cohorts with andwithout a history of wrist injury. Although these broad metric stabilityvariations highlight the potential utility of this approach for analysis ofcarpal instability, further studies are necessary to better characterize theseobservations.

Development and Stability Analysis of Carpal Kinematic Metrics from 4D Magnetic Resonance Imaging