Comparative study of 18F-FDG PET/CT and CT angiography in detection of large vessel vasculitis

M Moragas Solanes1, M Andreu Magarolas2, J C Martín Miramon1

  • 1Servicio de Medicina Nuclear. Parc Taulí Hospital Universitario, Sabadell (Barcelona), España.

Insights

¹⁸F-FDG PET/CT demonstrates superior sensitivity and specificity for diagnosing large vessel vasculitis (LVV) compared to CT angiography. This study highlights ¹⁸F-FDG PET/CT as a potential first-line imaging technique for extracranial LVV detection.

Area of Science:

  • Nuclear Medicine
  • Radiology
  • Vascular Imaging

Background:

  • Large vessel vasculitis (LVV) diagnosis requires accurate imaging of extracranial arteries.
  • Current imaging modalities have limitations in sensitivity and specificity for LVV detection.

Purpose of the Study:

  • To compare the diagnostic performance of ¹⁸F-FDG PET/CT and CT angiography (CTangio) in identifying extracranial large vessel involvement in patients with suspected LVV.
  • To evaluate the potential of ¹⁸F-FDG PET/CT as a primary diagnostic tool for LVV.

Main Methods:

  • Retrospective review of 59 patients with suspected LVV who underwent both ¹⁸F-FDG PET/CT and CTangio.
  • ¹⁸F-FDG PET/CT analysis included qualitative and quantitative assessments (SUVmax ratio).
  • CTangio was evaluated for mural thickening, enhancement, and structural changes.

Main Results:

  • ¹⁸F-FDG PET/CT showed high specificity (97.2%) and excellent sensitivity (95.6%) for LVV.
  • CTangio had lower sensitivity (60.9%) but high specificity (97.2%).
  • ¹⁸F-FDG PET/CT exhibited a high negative predictive value (97.2%), while CTangio had a high false-negative rate (39.1%).

Conclusions:

  • ¹⁸F-FDG PET/CT is a highly effective imaging technique for detecting and assessing the extent of LVV.
  • ¹⁸F-FDG PET/CT should be considered the first-line imaging modality for extracranial LVV.
  • CTangio may be beneficial as an adjunct in specific cases like Takayasu arteritis or severe/long-standing vasculitis to detect complications.
Abstract

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