The role of PET/CT in large vessel vasculitis and related disorders: diagnosis, extent evaluation and assessment of therapy response.

Jamar, François;Gormsen, Lars C;Yildiz, Halil;Slart, Riemer H;Gheysens, Olivier;et.al.
(2022) The Quarterly Journal of Nuclear Medicine and Molecular Imaging — Vol. 66, n° 3, p. 182-193 (2022)

Files

2022_Jamar_Q_J_Nucl_Med_Mol_Imaging.pdf
  • Open Access
  • Adobe PDF
  • 1.05 MB

Details

Authors
Show more
Abstract
Large vessel vasculitides (LVV) are defined as chronic inflammatory disorders that affect the arteries with two major variants being distinguished: giant cell arteritis (GCA) and Takayasu's arteritis (TAK). These often present with nonspecific constitutional symptoms which makes an accurate diagnosis often challenging. Nevertheless, timely diagnosis is of utmost importance to initiate treatment and to avoid potential life-threatening complications. [F]FDG-PET/CT is nowadays widely accepted as useful tool to aid in the diagnosis of large vessel vasculitis. However, its role to monitor disease activity and to predict disease relapse during follow-up is less obvious since vascular [F]FDG uptake can be detected in the absence of clinical or biochemical signs of disease activity. In addition to the two major variants, [F]FDG-PET/CT has shown promise in (peri-)aortitis and related disorders. This article aims to provide an update on the current knowledge and limitations of [F]FDG-PET/CT for the diagnosis and assessment of treatment response in LVV. Furthermore, other radiopharmaceuticals targeting key components of the vascular immune system are being discussed which could provide an interesting alternative to image vascular inflammation in LVV.
Affiliations

Citations

Jamar, F., Gormsen, L. C., Yildiz, H., Slart, R. H., van der Geest, K. S., & Gheysens, O. (2022). The role of PET/CT in large vessel vasculitis and related disorders: diagnosis, extent evaluation and assessment of therapy response. The Quarterly Journal of Nuclear Medicine and Molecular Imaging, 66(3), 182-193. https://doi.org/10.23736/S1824-4785.22.03465-3 (Original work published 2022)