No abstract

18F-FDG PET/CT occupies a growing role in the diagnosis of large vessel vasculitis (LVV), illustrating enhanced uptake in the lining of large vessels. A retrospective single center study was conducted of patients who underwent 18F-FDG PET/CT scans between 2009 and 2019 at Sheba Medical Center, Israel. The imaging results were analyzed for evidence of LVV. We reviewed the PET/CT scans of 126 patients and identified 57 studies that either showed evidence of active LVV or that had been performed in patients previously treated for systemic vasculitis. In 6 patients with fevers of unknown origin and elevated inflammatory markers, PET/CT revealed LVV. Six of 13 patients previously treated for systemic vasculitis demonstrated persistent large vessel uptake. LVV was identified in 8 patients with other autoimmune diseases, and in 4 diagnosed with infectious aortitis. In 26 patients who underwent malignancy surveillance, PET/CT revealed more localized large vessel wall inflammation. Our results illustrate that PET/CT may identify large vessel wall inflammation in patients with a suspicion of LVV, and incidentally in patients who undergo malignancy surveillance. PET/CT may also help delineate the presence and extent of vessel inflammation in patients with LVV and in those with other autoimmune diseases.

Objective: Obese and overweight body mass index (BMI) categories have been associated with increased immune-related adverse events (irAEs) in patients with cancer receiving immune checkpoint inhibitors (ICIs); however, the impact of being overweight in conjunction with related metabolic syndrome-associated factors on irAEs have not been investigated. We aimed to evaluate the impact of overweight and obese BMI according to metabolic disease burden on the development of irAEs. Design and Methods: We conducted a retrospective observational study of patients receiving ICIs at a cancer center. Our main study outcome was development of grade 2 (moderate) irAEs. Our main predictor was weight/metabolic disease risk category: (1) normal weight (BMI 18.5-24.9 kg/m2)/low metabolic risk (<2 metabolic diseases [diabetes, dyslipidemia, hypertension] ), (2) normal weight/high metabolic risk (2 metabolic diseases), (3) overweight (BMI 25 kg/m2)/low metabolic risk, and (4) overweight/high metabolic risk. Results: Of 411 patients in our cohort, 374 were eligible for analysis. Overall, 111 (30%) patients developed grade 2 irAEs. In Cox analysis, overweight/low metabolic risk was significantly associated with grade 2 irAEs (hazard ratio [HR]: 2.0, 95% confidence interval [95% CI]: 1.2-3.4) when compared to normal weight/low metabolic risk, while overweight/high metabolic risk (HR: 1.3, 95% CI: 0.7-2.2) and normal weight/high metabolic risk (HR: 1.5, 95% CI: 0.7-3.0) were not. Conclusions: Overweight patients with fewer metabolic comorbidities were at increased risk for irAEs. This study provides an important insight that BMI should be evaluated in the context of associated metabolic comorbidities in assessing risk of irAE development and ICI immune response.