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Giant Cell Arteritis clinical trials

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NCT ID: NCT02985424 Not yet recruiting - Clinical trials for Giant Cell Arteritis

Polymyalgia Rheumatica and Giant Cell Arteritis

Start date: May 2017
Phase: N/A
Study type: Observational

The purpose of this study is to delineate the association of the 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography (18F-FDG PET/CT) detected vasculitis pattern of the large vessels (PET positivity) and the clinical picture of Polymyalgia Rheumatica (PMR)/Giant Cell Arteritis (GCA) .

NCT ID: NCT02523625 Not yet recruiting - Clinical trials for Giant Cell Arteritis

Giant Cell Arteritis: Improving Use of Ultrasound Evaluation

GAULT
Start date: October 2015
Phase: N/A
Study type: Observational

Giant cell arteritis (GCA) is an inflammatory disease causing new, unaccustomed headache in the elderly and which can lead to blindness in 20-30% of untreated cases. The study group have previously shown that ultrasound is a viable non-invasive alternative to temporal artery biopsy in diagnosing GCA. However, there is significant variation in ultrasound assessment (measuring a dark "halo" around the abnormal blood vessels) between sonographers in different centres, requiring a labour intensive and time consuming training programme. The study group propose to standardise the training programme, and use ultrasound and clinical evaluation to define changes occurring over time and with treatment in patients with a diagnosis of GCA made based on ultrasound changes alone. The study group will explore the use of algorithms to automate or semi-automate image interpretation.

NCT ID: NCT01130857 Not yet recruiting - Temporal Arteritis Clinical Trials

Diagnostic Study of Temporal Arteritis

Start date: July 2010
Phase: N/A
Study type: Observational

Despite a large and growing body of knowledge concerning the diagnosis of temporal arteritis, this potentially crippling disease still requires pathological diagnosis in practically every case. It seems likely that a correctly estimated clinical probability could help in evaluating imaging results in a way that might safely obviate temporal biopsy in a large segment of suspect cases. With this aim in view, we intend to identify useful clinical items and integrate them in an appropriate diagnostic pathway.