AIMC Topic: Temporal Arteries

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Multi-parameter MRI-Based Machine Learning Model to Evaluate the Efficacy of STA-MCA Bypass Surgery for Moyamoya Disease: A Pilot Study.

Journal of imaging informatics in medicine Jul 17, 2024
Superficial temporal artery-middle cerebral artery (STA-MCA) bypass surgery represents the primary treatment for Moyamoya disease (MMD), with its efficacy contingent upon collateral vessel development. This study aimed to develop and validate a machi...
Humans Machine Learning Female Young Adult Adult Male Middle Aged Pilot Projects Adolescent Treatment Outcome Magnetic Resonance Imaging Middle Cerebral Artery Moyamoya Disease Temporal Arteries Cerebral Revascularization
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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 May 21, 2020
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...
Humans Algorithms Retrospective Studies Reproducibility of Results Sensitivity and Specificity Deep Learning Predictive Value of Tests Ultrasonography, Doppler, Color Giant Cell Arteritis Temporal Arteries
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Support Vector Machines and logistic regression to predict temporal artery biopsy outcomes.

Canadian journal of ophthalmology. Journal canadien d'ophtalmologie Aug 31, 2018
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...
Humans ROC Curve Logistic Models Support Vector Machine Predictive Value of Tests Biopsy Giant Cell Arteritis Temporal Arteries
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