Mega-Aorta Syndrome Development in Giant Cell Arteritis. A Same Entity?

Rodríguez-Caulo, Emiliano A.; Velázquez, Carlos; García-Borbolla, Mariano; Barquero, José M.

doi:10.1016/j.avsg.2011.07.006

Cited by 4 publications

(1 citation statement)

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“…Evidence of aortitis may be seen in up to 65 % of patients with newly diagnosed GCA [24•]. CTA is more traditionally used to assess the lumen, and can therefore also detect stenotic and aneurysmal lesions that can complicate GCA [25]. Aneurysmal lesions at onset may indicate resistant disease and worse vascular prognosis [3].…”

Section: Computed Tomography and Computed Tomographic Angiographymentioning

confidence: 99%

Imaging in Giant Cell Arteritis

Khan

Dasgupta

2015

Curr Rheumatol Rep

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Much progress has been made in the use of imaging as a diagnostic tool in giant cell arteritis (GCA), which assists in the management of patients where the initial diagnosis is unclear. This includes patients with atypical cranial symptoms, or with predominantly systemic, constitutional or limb symptoms. Ultrasound and magnetic resonance imaging are capable of visualising both the cranial and extracranial large vessel circulation, with vessel wall thickening and stenotic lesions being visualised. Computed tomographic angiography is helpful in visualising the aorta for aneurysm complicating GCA but can also detect vessel wall thickening in established large vessel vasculitis. PET-CT is a very sensitive test for early vascular inflammation in extracranial large vessel vasculitis, before aneurysmal or stenotic lesions have developed, of use in the patient with unexplained constitutional symptoms. The place of imaging in the follow-up of GCA is being investigated, and repeated imaging may be useful in select cases. Generally, vascular abnormalities become less defined once glucocorticoid treatment has been started, and therefore, imaging studies must be conducted early as part of a GCA fast-track assessment.

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Section: Computed Tomography and Computed Tomographic Angiographymentioning

confidence: 99%