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An Immunohistopathologic Study to Profile the Folate Receptor Beta Macrophage and Vascular Immune Microenvironment in Giant Cell Arteritis
Published on: February 8, 2019
A prospective cohort study evaluating the role of quantifying sonographic inflammatory changes in GCA
Colm Kirby1,2, Danielle Molloy1,2, Sharon Cowley1,2
1Department of Rheumatology, Tallaght University Hospital, Dublin, Ireland.
Vascular ultrasound (VUS) scores, particularly the OMERACT GCA US Score (OGUS), effectively predict adverse events in Giant Cell Arteritis (GCA). These VUS quantification scores show promise as biomarkers for GCA management and clinical trials.
Area of Science:
- Rheumatology
- Medical Imaging
- Clinical Diagnostics
Background:
- Vascular ultrasound (VUS) is established for diagnosing Giant Cell Arteritis (GCA).
- The utility of VUS in monitoring GCA disease progression and predicting patient outcomes requires further definition.
Purpose of the Study:
- To evaluate the role of sonographic vasculitis quantification in GCA diagnosis and management.
- To assess longitudinal trends and normalization of VUS parameters.
- To determine patient factors predicting VUS outcomes and adverse events.
Main Methods:
- Prospective cohort study of GCA patients.
- Comparison of intima-media thickness (IMT), Halo Count (HC), Halo Score (HS), and OMERACT GCA US Score (OGUS) over 12 months.
- Correlation and AUC analyses to identify predictors of VUS outcomes and adverse events.
Main Results:
- Significant declines in mean HC, HS, IMT, and OGUS observed over 12 months.
- Normalization of HC, HS, and OGUS achieved by 6 months in a substantial proportion of patients.
- VUS scores, especially OGUS, demonstrated superior predictive value for adverse events compared to clinical and laboratory parameters.
Conclusions:
- VUS quantification scores, particularly OGUS, are validated biomarkers for GCA in a prospective cohort.
- These sonographic measures outperform clinical variables in predicting adverse events.
- VUS quantification scores hold potential as key outcome variables in GCA clinical trials.
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