Nevio Taglieri1, Cristina Nanni2, Gabriele Ghetti3, Rachele Bonfiglioli2, Francesco Saia3, Maria Letizia Bacchi Reggiani3, Giacomo Maria Lima2, Valeria Marco4, Francesco Prati4,5, Stefano Fanti2, Claudio Rapezzi3. 1. Istituto di Cardiologia, Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale, Alma Mater Studiorum Università di Bologna, Via Massarenti 9, 40138, Bologna, Italy. neviotaglieri@hotmail.it. 2. Istituto di Medicina Nucleare, Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale, Alma Mater Studiorum Università di Bologna, Bologna, Italy. 3. Istituto di Cardiologia, Dipartimento di Medicina Specialistica, Diagnostica e Sperimentale, Alma Mater Studiorum Università di Bologna, Via Massarenti 9, 40138, Bologna, Italy. 4. CLI Foundation, Rome, Italy. 5. GVM Care & Research, Ettore Sansavini Health Science Foundation, Cotignola, Italy.
Abstract
PURPOSE: To evaluate the relationship between aortic inflammation as assessed by 18F-fluorodeoxyglucose-positron emission tomography (18F-FDG-PET) and features of plaque vulnerability as assessed by frequency domain-optical coherence tomography (FD-OCT). METHODS: We enrolled 30 consecutive non-ST-segment elevation acute coronary syndrome patients undergoing percutaneous coronary intervention. All patients underwent three-vessel OCT before intervention and 18F-FDG-PET before discharge. Univariable and C-reactive protein (CRP)-adjusted linear regression analyses were performed between features of vulnerability [namely:lipid-rich plaques with and without macrophages and thin cap fibroatheromas (TCFA)] and 18F-FDG uptake in both ascending (AA) and descending aorta (DA) [measured either as averaged mean and maximum target-to-blood ratio (TBR) or as active slices (TBRmax ≥ 1.6)]. RESULTS: Mean age was 62 years, and 26 patients were male. On univariable linear regression analysis TBRmean and TBRmax in DA was associated with the number of lipid-rich plaques (β = 4.22; 95%CI 0.05-8.39; p = 0.047 and β = 3.72; 95%CI 1.14-6.30; p = 0.006, respectively). TBRmax in DA was also associated with the number of lipid-rich plaques containing macrophages (β = 2.40; 95%CI 0.07-4.72; p = 0.044). A significant CRP adjusted linear association between the TBRmax in DA and the number of lipid-rich plaques was observed (CRP-adjusted β = 3.58; 95%CI -0.91-6.25; p = 0.01). TBRmax in DA showed a trend towards significant CRP-adjusted association with number of lipid-rich plaques with macrophages (CRP-adjusted β = 2.30; 95%CI -0.11-4.71; p = 0.06). We also observed a CRP-adjusted (β = 2.34; 95%CI 0.22-4.47; p = 0.031) linear association between the number of active slices in DA and the number of lipid-rich plaques. No relation was found between FDG uptake in the aorta and the number of TCFAs. CONCLUSIONS: In patients with first NSTEACS, 18F-FDG uptake in DA is correlated with the number of OCT detected lipid-rich plaques with or without macrophages. This association may be independent from CRP values.
PURPOSE: To evaluate the relationship between aortic inflammation as assessed by 18F-fluorodeoxyglucose-positron emission tomography (18F-FDG-PET) and features of plaque vulnerability as assessed by frequency domain-optical coherence tomography (FD-OCT). METHODS: We enrolled 30 consecutive non-ST-segment elevation acute coronary syndromepatients undergoing percutaneous coronary intervention. All patients underwent three-vessel OCT before intervention and 18F-FDG-PET before discharge. Univariable and C-reactive protein (CRP)-adjusted linear regression analyses were performed between features of vulnerability [namely:lipid-rich plaques with and without macrophages and thin cap fibroatheromas (TCFA)] and 18F-FDG uptake in both ascending (AA) and descending aorta (DA) [measured either as averaged mean and maximum target-to-blood ratio (TBR) or as active slices (TBRmax ≥ 1.6)]. RESULTS: Mean age was 62 years, and 26 patients were male. On univariable linear regression analysis TBRmean and TBRmax in DA was associated with the number of lipid-rich plaques (β = 4.22; 95%CI 0.05-8.39; p = 0.047 and β = 3.72; 95%CI 1.14-6.30; p = 0.006, respectively). TBRmax in DA was also associated with the number of lipid-rich plaques containing macrophages (β = 2.40; 95%CI 0.07-4.72; p = 0.044). A significant CRP adjusted linear association between the TBRmax in DA and the number of lipid-rich plaques was observed (CRP-adjusted β = 3.58; 95%CI -0.91-6.25; p = 0.01). TBRmax in DA showed a trend towards significant CRP-adjusted association with number of lipid-rich plaques with macrophages (CRP-adjusted β = 2.30; 95%CI -0.11-4.71; p = 0.06). We also observed a CRP-adjusted (β = 2.34; 95%CI 0.22-4.47; p = 0.031) linear association between the number of active slices in DA and the number of lipid-rich plaques. No relation was found between FDG uptake in the aorta and the number of TCFAs. CONCLUSIONS: In patients with first NSTEACS, 18F-FDG uptake in DA is correlated with the number of OCT detected lipid-rich plaques with or without macrophages. This association may be independent from CRP values.
Entities:
Keywords:
18F–fluorodeoxyglucose-positron emission tomography; Frequency domain-optical coherence tomography; Non ST-segment elevation acute coronary syndrome
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