Current and Emerging Approaches to Imaging Large Vessel Vasculitis

Circ Cardiovasc Imaging. 2024 Nov;17(11):e015982. doi: 10.1161/CIRCIMAGING.124.015982. Epub 2024 Nov 19.

Abstract

Large vessel vasculitides (LVV) comprise a group of inflammatory disorders that involve the large arteries, such as the aorta and its primary branches. The cause of LVV is often rheumatologic and includes giant cell arteritis and Takayasu arteritis. Giant cell arteritis is the most common form of LVV affecting people >50 years of age with a slight female predominance. Takayasu arteritis is more frequently seen in younger populations and is significantly more common in women. Prompt identification of LVV is crucial as it can lead to debilitating complications if left untreated, including blindness in the case of giant cell arteritis and large artery stenosis and aneurysms in the case of all forms of LVV. Noninvasive imaging methods have greatly changed the approach to managing LVV. Today, imaging (with ultrasound, magnetic resonance imaging, computed tomography, and positron emission tomography) is routinely used in the diagnosis of LVV. In patients with giant cell arteritis, imaging often spares the use of invasive procedures such as temporal artery biopsy. In addition, vascular imaging is also crucial for longitudinal surveillance of arterial damage. Finally, imaging is currently being studied for its role in assessing treatment response and ongoing disease activity and its potential value in determining the presence of vascular wall remodeling (eg, scarring). This review explores the current uses of noninvasive vascular imaging in LVV.

Keywords: Computed tomography; Takayasu arteritis; aorta; giant cell arteritis; magnetic resonance imaging; positron-emission tomography.

Publication types

  • Review

MeSH terms

  • Female
  • Giant Cell Arteritis* / complications
  • Giant Cell Arteritis* / diagnostic imaging
  • Humans
  • Predictive Value of Tests
  • Prognosis
  • Takayasu Arteritis* / complications
  • Takayasu Arteritis* / diagnostic imaging