18F-FDG uptake as a predictive factor for progressive aortic enlargement in aortic dissection
Takatoshi Higashigawa1, Yasutaka Ichikawa2, Shuji Chino3
1Department of Radiology, Mie University Hospital, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan. higashikawat@clin.medic.mie-u.ac.jp.
Annals of Nuclear Medicine
|June 20, 2020
Summary
¹⁸F-FDG PET/CT, using the target-to-background ratio (TBR), can predict progressive aortic enlargement (PAE) in patients with medically treated aortic dissection (AD). Higher TBR values indicate an increased risk of PAE.
Area of Science:
- Cardiovascular Imaging
- Nuclear Medicine
- Aortic Diseases
Background:
- Progressive aortic enlargement (PAE) is a significant complication in patients with medically treated aortic dissection (AD).
- Currently, reliable predictors for PAE in this patient group are lacking.
- ¹⁸F-FDG PET/CT offers a potential imaging modality for risk stratification.
Purpose of the Study:
- To assess the utility of ¹⁸F-FDG PET/CT in predicting PAE in patients with medically treated AD.
- To determine if ¹⁸F-FDG uptake in the dissected aortic wall correlates with future aortic enlargement.
Main Methods:
- Sixteen patients with AD receiving optimal medical therapy were included.
- ¹⁸F-FDG PET/CT scans were performed in the subacute phase post-AD onset.
- Target-to-background ratio (TBR) was calculated by comparing SUVmax in the dissected aorta to blood pool SUV.
Main Results:
- Four out of 16 patients developed PAE (defined as >10 mm/year) during a median 24-month follow-up.
- Patients with PAE exhibited significantly higher TBR values compared to those without PAE (2.44 ± 0.56 vs. 1.87 ± 0.33, P=0.025).
- The TBR demonstrated good predictive performance (AUC=0.82) with a threshold of 2.34 yielding 75% sensitivity and 92% specificity for PAE.
Conclusions:
- Elevated ¹⁸F-FDG uptake, indicated by higher TBR in the dissected aortic wall, is linked to an increased risk of PAE in medically treated AD patients.
- TBR derived from ¹⁸F-FDG PET/CT is a valuable tool for predicting PAE, offering good specificity and negative predictive value.
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