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Clinical, laboratory, and orbital imaging features of giant cell arteritis in comparison to non-arteritic anterior ischemic optic neuropath: a single center case series.
Front Ophthalmol (Lausanne)
December 2024
Department of Ophthalmology & Visual Sciences, School of Medicine, Washington University in St. Louis, St Louis, MO, United States.
Background: Giant cell arteritis (GCA) is the most common vasculitis in patients older than 50 years and is considered a "do not miss" diagnosis. However, it remains a diagnostic challenge given overlapping clinical syndromes such as non-arteritic anterior ischemic optic neuropathy (NAION) and poorly explored imaging findings.
Materials And Methods: In this retrospective study between the time period of January 2013 and December 2021, a total of 13 consecutive patients with a pathological diagnosis of GCA and 8 patients with clinical diagnosis of NAION were isolated.
Mortality in patients with giant cell arteritis in Spain: results from the ARTESER registry.
Arthritis Res Ther
January 2025
Rheumatology Department, Hospital Universitario Marqués de Valdecilla. IDIVAL Immunopathology group, Santander, Spain.
Objectives: To compare mortality rates between GCA patients and the general population in Spain, and to identify associated factors influencing mortality.
Methods: ARTESER, a multicenter registry by the Spanish Society of Rheumatology, includes GCA patients from June 2013 to March 2019. Demographic, clinical, imaging, histological and mortality data were collected retrospectively.
Giant cell arteritis (GCA), a systemic vasculitis affecting large and medium-sized arteries, poses significant diagnostic and management challenges, particularly in preventing irreversible complications like vision loss. Recent advancements in artificial intelligence (AI) technologies, including machine learning (ML) and deep learning (DL), offer promising solutions to enhance diagnostic accuracy and optimize treatment strategies for GCA. This systematic review, conducted according to the PRISMA 2020 guidelines, synthesizes existing literature on AI applications in GCA care, with a focus on diagnostic accuracy, treatment outcomes, and predictive modeling.
View Article and Find Full Text PDFCase report: Detecting giant cell arteritis in [Ga]Ga-DOTA-Siglec-9-PET/CT.
Front Immunol
January 2025
Department of Rheumatology and Clinical Immunology, Clinic of Internal Medicine III, University Hospital Bonn, Bonn, Germany.
Objectives: This study aimed to evaluate the diagnostic utility of [Ga]Ga-DOTA-Siglec-9 positron emission tomography-computed tomography (PET/CT) in assessing disease activity in a patient experiencing a relapse of giant cell arteritis (GCA).
Case Presentation: A 90-year-old male patient with GCA, diagnosed in 2018, was enrolled. Demographic data, disease history, and laboratory parameters, including soluble VAP-1 (sVAP-1) levels, were recorded.
Causal genes identification of giant cell arteritis in CD4+ Memory t cells: an integration of multi-omics and expression quantitative trait locus analysis.
Inflamm Res
January 2025
Queen's Belfast University, Belfast, Northern Ireland, UK.
Background: Giant cell arteritis (GCA) is a prevalent artery and is strongly correlated with age. The role of CD4+ Memory T cells in giant cell arteritis has not been elucidated.
Method: Through single-cell analysis, we focused on the CD4+ Memory T cells in giant cell arteritis.
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