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Case 81 - Takayasu's arteritis on PET/CT

Published online by Cambridge University Press:  07 October 2011

Thomas Hartman
Affiliation:
Mayo Clinic, Rochester
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Summary

Imaging description

Takayasu's arteritis is a chronic vasculitis of unknown etiology, which primarily affects the aorta and its primary branches. Fever, malaise, and weight loss are the most common symptoms. Takayasu's arteritis primarily afflicts women and Asians. The arteritis may be localized to a segment of any large artery or may involve the aorta and multiple vessels contiguously [1–3]. PET/CT demonstrates intense FDG uptake within the thickened, inflamed arterial walls (Figure 81.1). PET/CT is more sensitive than CT and MRI in detecting disease extent and identifying segmental arteritis. PET/CT can distinguish vessel thickening due to fibrosis from active inflammation. FDG uptake correlates with clinical markers of inflammation and can be used to evaluate response to therapy [4].

Importance

Takayasu's arteritis often presents with nonspecific clinical findings, often suggestive of an underlying malignancy. Overlooking the diffuse arterial wall activity can lead to adverse consequences for the patient. The moderate to intense linear FDG accumulation within the walls of the great vessels should not be confused as secondary to atherosclerotic disease.

Type
Chapter
Information
Pearls and Pitfalls in Thoracic Imaging
Variants and Other Difficult Diagnoses
, pp. 212 - 213
Publisher: Cambridge University Press
Print publication year: 2011

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References

Lupi-Herrera, ESanchez-Torres, GMarcushamer, JTakayasu's arteritis. Clinical study of 107 casesAm Heart J 1977 93 94CrossRefGoogle ScholarPubMed
Hall, SBarr, WLie, JTTakayasu arteritis: a study of 32 North American patientsMedicine 1985 64 89CrossRefGoogle ScholarPubMed
Cid, MCFont, CColl-Vinent, , BGrau, JM.Large vessel vasculitidesCurr Opin Rheumatol 1998 10 18CrossRefGoogle ScholarPubMed
Walter, MA.[(18)F] fluorodeoxyglucose PET in large vessel vasculitisRadiol Clin North Am 2007 45 735CrossRefGoogle ScholarPubMed

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