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Giant Cell Arteritis

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Support Vector Machines and logistic regression to predict temporal artery biopsy outcomes.

Canadian journal of ophthalmology. Journal canadien d'ophtalmologie 30851764
OBJECTIVE: Support vector machines (SVM) is a newer statistical method that has been reported to be advantageous to traditional logistic regression for clinical classification. We determine if SVM can better predict the results of temporal artery bio...
Biopsy Giant Cell Arteritis Humans Logistic Models Predictive Value of Tests ROC Curve Support Vector Machine Temporal Arteries
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Colour Doppler ultrasound of temporal arteries for the diagnosis of giant cell arteritis: a multicentre deep learning study.

Clinical and experimental rheumatology 32441644
OBJECTIVES: Giant cell arteritis (GCA) is the most common systemic vasculitis in adults. In recent years, colour Doppler ultrasound of the temporal arteries (CDU) has proven to be a powerful non-invasive diagnostic tool, but its place in the diagnosi...
Algorithms Deep Learning Giant Cell Arteritis Humans Predictive Value of Tests Reproducibility of Results Retrospective Studies Sensitivity and Specificity Temporal Arteries Ultrasonography, Doppler, Color
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Deep Learning to Discriminate Arteritic From Nonarteritic Ischemic Optic Neuropathy on Color Images.

JAMA ophthalmology 39418057
IMPORTANCE: Prompt and accurate diagnosis of arteritic anterior ischemic optic neuropathy (AAION) from giant cell arteritis and other systemic vasculitis can contribute to preventing irreversible vision loss from these conditions. Its clinical distin...
Aged Deep Learning Diagnosis, Differential Female Fundus Oculi Giant Cell Arteritis Humans Male Middle Aged Optic Disk Optic Neuropathy, Ischemic Reproducibility of Results Retrospective Studies ROC Curve
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Associations between age, red cell distribution width and 180-day and 1-year mortality in giant cell arteritis patients: mediation analyses and machine learning in a cohort study.

Arthritis research & therapy 39923097
OBJECTIVE: The aim of this study was to investigate the correlation between age, red cell distribution width (RDW) levels, and 180-day and 1-year mortality in giant cell arteritis (GCA) patients hospitalized or admitted to the ICU.
Age Factors Aged Aged, 80 and over Cohort Studies Erythrocyte Indices Female Giant Cell Arteritis Humans Kaplan-Meier Estimate Machine Learning Male Middle Aged Prognosis
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